Women in Data eSummit

Meet Inclusion

Women in Data
eSummit

Exclusive online sessions for the best female professionals in data

Meet employers ⦁ Discover jobs ⦁ Ask questions

16-20 June 2025

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Why you should join

Meet global companies

Hear directly from top companies, ask your questions, and gain valuable insights—all from the comfort of your home.

Discover career opportunities

Get international exposure, learn about different career paths, and discover what’s next for you.

Be inspired by industry leaders

Listen to experts share their experiences, innovative projects, and the challenges shaping their fields.

Watch the replay

From Data to Impact: Women Shaping Tomorrow

17/06/2025

12:00 CEST

Yannick Rousseau

HR Business Partner

Tetiana Prykhodchenko

Risk Modelling Analyst

Sara Iskurti

Scrum Master

Tomoyuki Takeda

Diversity, Equity & Inclusion Officer

Stay tuned!

Let’s Talk Data at PepsiCo Digital Hub!

18/06/2025

12:00 CEST

CLAUDIA OCHOLA GIL

Data Scientist

ALBA GUTIÉRREZ ROQUETA

Global Talent Acquisition Associate – Digital Hub

MARINA PONS MOJENA

Senior Data Scientist

Tomoyuki Takeda

Diversity, Equity & Inclusion Officer

Stay tuned!

Stay tuned for updates!

Discover the featured jobs

Lead Data Engineer

Data Scientist

Senior Software Engineer

Senior Analyst – Data Modeler

Lead Data Analyst (Supply Chain or Finance or Commercial)

Data Expert

Experienced Data Scientist

Enterprise Architect – Data

Data Governance Analyst

Coming soon

Lead Data Engineer

Overview

PepsiCo operates in an environment undergoing immense and rapid change. Big-data and digital technologies are driving business transformation that is unlocking new capabilities and business innovations in areas like eCommerce, mobile experiences and IoT. The key to winning in these areas is being able to leverage enterprise data foundations built on PepsiCo’s global business scale to enable business insights, advanced analytics, and new product development. PepsiCo’s Data Management and Operations team is tasked with the responsibility of developing quality data collection processes, maintaining the integrity of our data foundations, and enabling business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.

What PepsiCo Data Management and Operations does:

Maintain a predictable, transparent, global operating rhythm that ensures always-on access to high-quality data for stakeholders across the company
Responsible for day-to-day data collection, transportation, maintenance/curation and access to the PepsiCo corporate data asset
Work cross-functionally across the enterprise to centralize data and standardize it for use by business, data science or other stakeholders
Increase awareness about available data and democratize access to it across the company

As a member of the data engineering team, you will be the key technical expert developing and overseeing PepsiCo’s data product build & operations and drive a strong vision for how data engineering can proactively create a positive impact on the business. You’ll be an empowered member of a team of data engineers who build data pipelines into various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data engineering team, you will help lead the development of very large and complex data applications into public cloud environments directly impacting the design, architecture, and implementation of PepsiCo’s flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will work closely with process owners, product owners and business users. You’ll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems.

Responsibilities

Key Accountabilities:

Active contributor to code development in projects and services.
Manage and scale data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
Build and own the automation and monitoring frameworks that captures metrics and operational KPIs for data pipeline quality and performance.
Responsible for implementing best practices around systems integration, security, performance, and data management.
Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
Collaborate with internal clients (data science and product teams) to drive solutioning and POC discussions.
Evolve the architectural capabilities and maturity of the data platform by engaging with enterprise architects and strategic internal and external partners.
Develop and optimize procedures to “productionalize” data science models.
Define and manage SLA’s for data products and processes running in production.
Support large-scale experimentation done by data scientists.
Prototype new approaches and build solutions at scale.
Research in state-of-the-art methodologies.
Create documentation for learnings and knowledge transfer.
Create and audit reusable packages or libraries.

Qualifications:

6+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture.
4+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools.
4+ years of experience in SQL optimization and performance tuning, and development experience in programming languages like Python, PySpark, Scala etc.).
2+ years in cloud data engineering experience in Azure.
Fluent with Azure cloud services. Azure Certification is a plus.
Experience with integration of multi cloud services with on-premises technologies.
Experience with data modelling, data warehousing, and building high-volume ETL/ELT pipelines.
Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations.
Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.
Experience with at least one MPP database technology such as Redshift, Synapse or SnowFlake.
Experience with running and scaling applications on the cloud infrastructure and containerized services like Kubernetes.
Experience with version control systems like Github and deployment & CI tools.
Experience with Azure Data Factory, Azure Databricks and Azure Machine learning tools.
Experience with Statistical/ML techniques is a plus.
Experience with building solutions in the retail or in the supply chain space is a plus
Understanding of metadata management, data lineage, and data glossaries is a plus.
Working knowledge of agile development, including DevOps and DataOps concepts.
Familiarity with business intelligence tools (such as PowerBI).
BA/BS in Computer Science, Math, Physics, or other technical fields.

Skills, Abilities, Knowledge:

Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management.
Proven track record of leading, mentoring data teams.
Strong change manager. Comfortable with change, especially that which arises through company growth.
Ability to understand and translate business requirements into data and technical requirements.
High degree of organization and ability to manage multiple, competing projects and priorities simultaneously.
Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs.
Foster a team culture of accountability, communication, and self-management.
Proactively drives impact and engagement while bringing others along.
Consistently attain/exceed individual and team goals
Ability to lead others without direct authority in a matrixed environment.
Differentiating Competencies Required:
Highly influential and having the ability to educate challenging stakeholders on the role of data and its purpose in the business.
Understands both the engineering and business side of the Data Products released.
Places the user in the center of decision making.
Teams up and collaborates for speed, agility, and innovation.
Experience with and embraces agile methodologies.
Strong negotiation and decision-making skill.
Experience managing and working with globally distributed teams.

Data Scientist

Overview

About D+A at PepsiCo

PepsiCo is using the power of data to transform the way our world-famous portfolio of brands is sold every day. Our Data & Analytics organization influences every aspect of how we sell and move our products. In just a short period of time, they’ve built new capabilities that have defined the roadmap across all our brands. Members of our team solve complex problems facing our rapidly changing business and get to see their work come to life in the real world.

Data Science

Join our Data Science team where you will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, starting from the discovery phase. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.

Your mission
Your role will be to be part of growing team based in Barcelona, to create and support global digital developments for PepsiCo. These developments will be focus on Consumer Analytics and Innovation but with the option in the future to collaborate into other fields such as revenue management, supply chain, manufacturing, logistics.

You will be part of a collaborative interdisciplinary team around data, where you will be responsible of building deployable statistical/machine learning models, starting from the discovery phase. You will work closely with process owners, product owners and final business users. This will provide you the correct visibility and understanding of criticality of your developments.

You will be an internal ambassador of the team’s culture around data and analytics. You will provide stewardship to colleagues in the areas that you are an specialist or you are specializing.

Responsibilities

Your day to day with us

Refine requirements into modelling problems.
Set KPIs and metrics to evaluate analytics solution given a particular use case.
Research state-of-the-art methodologies.
Create documentation for learnings and knowledge transfer.
Create reusable packages or libraries
Comfortable working with cloud environments (such as Databricks)
Comfortable working with CI / CD
Support large-scale experimentation and build data-driven models.
Familiar with visualizations tools (such as PowerBi) to easily demonstrate insights of the data&results.
Partner with data engineers to ensure data access for discovery and proper data is prepared for model consumption.
Partner with ML engineers working on industrialization.
Coordinate work activities with Business teams, other IT services and as required.
Drive the use of the Platform toolset and to also focus on ‘the art of the possible’ demonstrations to the business as needed.
Communicate with business stakeholders in the process of service design, training and knowledge transfer.
Influence product teams through data-based recommendations.

Qualifications

What you will need to succeed:

Fluent in git (version control, pre-commit tools), SQL, Python, PySpark syntaxis.
Experience writing tests (pytest) with Python.
3+ years’ experience in ETL and/or data wrangling techniques.
3+ years’ experience in Statistical/ML techniques to solve supervised (regression, classification) and unsupervised problems.
Experience working with Time Series Data.
Experience in developing business problem using Databricks.
Business storytelling and communicating data insights in business consumable format. Fluent in one Visualization tool (preferable PowerBi).
Strong communications and organizational skills with the ability to deal with ambiguity while juggling multiple priorities
Experience with Agile methodology for teamwork and analytics ‘product’ creation. Fluent in Azure Boards and Wiki.
Experience with distributed machine learning is a plus
Building Docker images are a plus.
Experiences with Deep Learning are a plus.
Experience with Azure cloud services is a plus.
Experience in Reinforcement Learning is a plus.
Experience in Simulation and Optimization problems in any space is a plus.
Experience with Bayesian methods is a plus.
Experience with Causal inference is a plus.
Experience with NLP is a plus.
Experience with working with FAIR data is a plus.
Experience with Responsible AI is a plus.

What makes us different?

Hybrid work model & collaborative office experience to enable innovation
Entrepreneurial environment in leading international company
Professional growth possibilities & learning opportunities
Variety of benefits to support your physical, emotional, and financial wellbeing
Volunteering opportunities to help external communities
Diverse team from over 25 countries
Have a stake in D&I strategy and bring your whole self to work

About PepsiCo

We believe that culture should be at the cornerstone of everything we do at PepsiCo D+A. We operate with start-up mindset – agile, innovative, and not afraid of failure. We want our team to come to work every day excited to explore new ways bring enjoyment, refreshment, and fun to the world.

So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.

We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability

Senior Software Engineer

Overview

Digital Products and Services at PepsiCo

The Digital Evolution is critical to driving PepsiCo’s ambitions around being FASTER, STRONGER, and BETTER. The Digital Products & Services team designs, builds, and stands up digital solutions across the value chain, that are embedded into business processes to optimize efficiency, reduce costs, and maintain high ROI. Guided by PEPSICO’s global priorities, the Digital Products & Services team create user-centric digital products that can be scaled globally by leveraging the leading technologies, advanced analytics algorithms and latest user research.

Your mission

You as a Senior Software Engineer will play a pivotal role in software development activities and long-term initiative planning and collaboration across the Strategy & Transformation (S&T) organization. Software Engineering is the cornerstone of scalable digital transformation across PepsiCo’s value chain. This candidate will support the end-to-end software development experience and deliver high quality software as part of the DevOps process.

You will provide technical oversight and direction to our software development team to ensure we deliver the best possible software solutions and ensure they are generating value through cost savings or incremental value. You will work closely with the user experience, product, IT, and process engineering teams to develop new products and prioritize deliver solutions across S&T core priorities.

Responsibilities

Your day to day with us:

Support the vision and guide a team of engineers to build and support digital products and services (DPS) across S&T core priorities
Partner with User Experience, Product Management, IT, Data & Analytics, Emerging Tech, Innovation, and Process Engineering teams to deliver the Digital Products portfolio
Support software development strategy utilizing industry standards. Create roadmap and timing of implementation of the roadmap based on business requirements and strategy.
Support expanding DPS capabilities through a customer obsessed, services-driven digital solutions platform that leverages data and AI to deliver automated and personalized experiences
Help problem solve delivery impediments, risks, issues, and changes tied to the engineering initiatives to the stakeholders
Interact with key business partners to recommend solutions that best meet the strategic needs of the business

Qualifications

What you will need to succeed:

A Bachelor’s Degree in Computer Science, Engineering or a related field
Minimum of 6 years of relevant software development and engineering management experience
3+ years of experience on architecting fault tolerant, high scale distributed systems
Commanding knowledge of data structures, algorithms, and object-oriented design

Experience in Java and Spring / SpringBoot ecosystem, JUnit , BackEnd MicroServices, Serverless Computing, Creating REST API’S

-OR-

Experience with JavaScript/TypeScript, Node.js, React / ReactNative FrontEnd frameworks

-OR-

Full stack engineering experience (Python & React)

Experience with Azure Google Cloud, Amazon Web Services and cloud specific PaaS and SaaS solutions
Experience with mission critical, 24×7 systems and implementing and consuming large-scale web services
Deep knowledge of design patterns
Strong attention to detail and extremely well-organize
Ability to run a large team of software engineers and to manage multiple projects with competing priorities
Ability to be able to interface with the business and recognize their needs and priorities
Ability to work cross functionally with product, service design and operations across the organization, as well as, with partners in other units
Ability to navigate a complex organization and to influence and lead people across cultures at a senior level

What makes us different?

Hybrid work model & collaborative office experience to enable innovation
Entrepreneurial environment in leading international company
Professional growth possibilities & learning opportunities
Variety of benefits to support your physical, emotional and financial wellbeing
Volunteering opportunities to help external communities
Diverse team from over 25 countries
Have a stake in D&I strategy and Bring your whole self to work

About PepsiCo

We believe that culture should be at the cornerstone of everything we do at PepsiCo. We operate with start-up mindset – agile, innovative, and not afraid of failure. We want our team to come to work every day excited to explore new ways bring enjoyment, refreshment, and fun to the world.

PepsiCo Positive (pep+) is the future of our organization – a strategic end-to-end transformation, with sustainability at the center of how we will create growth and value by operating within planetary boundaries and inspiring positive change for the planet and people. https://www.youtube.com/watch?v=PO5CdBmWjUY

So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.

* We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability

Senior Analyst - Data Modeler

Locations: Barcelona, Spain; Vitoria-Gasteiz, Spain

PepsiCo is using the power of data to transform the way our world-famous portfolio of brands are sold every day. Our Data Science & Analytics group influences every aspect of how we sell and move our products. In just a short period of time, they’ve built new capabilities that have defined the data science roadmap across all of our brands. Members of our team solve complex problems facing our rapidly changing business and get to see their work come to life in the real world.

Join PepsiCo’s Enterprise Data Operations team which develops quality data collection processes, maintains the integrity of our data foundations and enables business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.

As a Data Modeling Specialist, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be a key technical expert performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architects teams.

As a member of the data modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo’s flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You’ll be working in a hybrid environment with in-house, on-premise data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse.

Key Accountabilities:

Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, DataBricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies.
Governs data design/modelling – documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned.
Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting.
Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools.

Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development.
Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework.
Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse.
Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper management: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations.
Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development.
Assist with data planning, sourcing, collection, profiling, and transformation.
Create Source To Target Mappings for ETL and BI developers.
Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit.
Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing.
Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders.
Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization.

Qualifications:

5+ years of overall technology experience that includes at least 3+ years of data modeling and system architecture.
3+ years of experience developing enterprise data models.
Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models).
Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or SnowFlake.
Experience with version control systems like Github and deployment & CI tools.
Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus.
Experience with building solutions in the retail or in the supply chain space is a plus
Experience of metadata management, data lineage, and data glossaries is a plus.
Working knowledge of agile development, including DevOps and DataOps concepts.
BA/BS in Computer Science, Math, Physics, or other technical fields.

Skills, Abilities, Knowledge:

Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management.
Ability to understand and translate business requirements into data and technical requirements.
Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment.
Good organizational and interpersonal skills
Consistently attain/exceed individual goals

Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple locations across geographies
Participate in technical discussions related to Data Modeling

What makes us different?

Hybrid work model & collaborative office experience to enable innovation
Entrepreneurial environment in leading international company
Professional growth possibilities & learning opportunities
Variety of benefits to support your physical, emotional and financial wellbeing
Volunteering opportunities to help external communities
Diverse team from over 25 countries
Have a stake in D&I strategy and Bring your whole self to work

About PepsiCo

We believe that culture should be at the cornerstone of everything we do at PepsiCo. We operate with start-up mindset – agile, innovative and not afraid of failure. We want our team to come to work every day excited to explore new ways bring enjoyment, refreshment and fun to the world.

So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.

We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability

Lead Data Analyst (Supply Chain or Finance or Commercial)

Locations: Spain

Overview

Join PepsiCo’s Enterprise Data Operations Organization which develops quality data collection processes, maintains the integrity of our data foundations and enables business leaders and data scientists across the company to have rapid access to the data they need for decision-making and innovation.

Your mission

As a member of the data engineering team, you will be the key domain expert overseeing PepsiCo’s business process and drive a strong discussion for how Supply Chain, Financial, Consumer, Channel, Category business needs to be defined and prioritize by working very closely with business leads, data science team and data engineering team. You’ll develop an in-depth understanding of business processes in and translate business requirements to data engineering team in technical way.

Responsibilities

Your day to day with us:

Discover, analyze, and scope data requirements & representing them in conceptual and logical data models
Gather and analyze data pertaining to various business processes such as forecasts, capital requirements, inventory, logistic, manufacturing and production capacity to develop supply chain models. geographics, POS, pricing and promotion, store profile, e-commerce data to develop channel models.
Create high-level process models (system interface diagrams, workflow & swim lane diagrams, data flow diagrams) to represent processes for the area under analysis
Empower the business by creating value through the increased adoption of data, data science and business intelligence landscape.
Responsible to improve the quality of data in relation to defined expectations
Perform analysis of system data to identify patterns, exceptions, and erroneous data

Qualifications

What will you need to suceed:

Bachelor’s Degree in Supply Chain and/or Operations Management is Required, Masters Preferred.
6+ years of experience with data analysis & data profiling in project, business requirements definition or data engineering in CPG or Manufacturing Industry.
5+ years’ work experience in the areas of Distribution Network Analysis, Manufacturing, Production Network Optimization, Transportation, Demand Planning, or other areas related to Supply Chain or other domains such as Financial, Consumer, Channel, Category etc.
4+ years of strong Data Profiling experience & ability to identify trends and anomalies in the data to in-form data model build out.
Experience in working with Datasets from POS Aggregators such as IRI, Nielsen, Kantar etc.
Experience working with structured/unstructured datasets, ability to clearly document and communicate requirement to technical team members.
Experience with Business Intelligence tools, SQLTools.

Strong knowledge and understanding of Supply Chain data elements and processes per the necessary in-scope data domain (i.e., Customer, Material, Vendor)
Ability to translate business requirements into critical data dependencies and requirements
Able to challenge and align various stakeholders to a common set of standards
Self-starter with excellent written & verbal communication skills.
Self-learner and eager to understand data, business processes, concepts, and technologies.

What makes us different?

Hybrid work model & collaborative office experience to enable innovation
Entrepreneurial environment in leading international company
Prpfessional growth possibilities & learning opportunities

Variety of benefits to support your physical, emotional and financial wellbeing
Volunteering opportunities to help external communities
Diverse team from over 25 countries
Have a stake in D&I strategy and Bring your whole self to work

About PepsiCo

So, if you’re ready to be a part of a playground for those who think big, we’d love to chat.

* We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability

Data Expert

Locations: Poland

Is data your passion? Can you autonomously develop advanced power BI semantic models? Then this is the job for you.

In this role,

You collaborate closely with the end users on projects, always with end-to-end approach.
You will support the reporting teams in the data exploration and data preparation phases, Implement data model / semantic models.
You will liaise with IT infrastructure teams to address infrastructure issues and to ensure that the components and software used on the platform are all consistent.

As a Data expert you will also build and share knowledge with your colleagues while enjoying specialized training to keep you at the top of your field.

Join Euroclear

Euroclear is a financial services company that specializes in the settlement of securities transactions, as well as the safekeeping and asset servicing of these securities.

We are located in Brussels and several major cities in Europe and around the world. We are deeply convinced that diversity of talents, backgrounds and opinions is a key to success, by encouraging engagement, energy and innovation.

You will join the AIR (Analytics, Insight and Reporting tribe) in GDC division and our dedicated in-house team of data expert using a pragmatic best-tool-for-the-job approach to optimize our hybrid infrastructure. With a solid focus on SQL server and SSAS / power BI semantic model we firmly believe in robust and production-ready solutions being a crucial part to our work.

The result? Our team provides an ecosystem of data-driven products to internal consumers.

We will train you to become a data expert with a proven foundation in the field. You will excel in building digital data-driven solutions and infrastructure and become an architectural futurist that thoughtfully designs, develops and deploys infrastructure and data product.

Our languages? SQL, DAX, Synapse.

When not coding, we speak English as we have colleagues from all around the world, and join a truly international team.

Your Profile:

– Obtaining insights through data is your mantra;

– T-SQL and DAX flow through your fingers, with ease;

– Star Schemas, Dimensional Modelling (Kimball) and Self-Service are your second nature;

– Experience in working with customers to identify and clarify requirements

– Power BI means more to you than shiny graphs (and pie charts);

– Data Engineering and moving forward with the Power Platform is a challenge your up to taking;

– You are familiar with Azure Data components

– You have a strong curiosity about FINTECH and technologies related data.

– You have good communication skills!

– Speak English fluently, any other language is a plus.

Colleagues describe you as a driven, enthusiastic team member always wanting to help team members grow.

Don’t tick all the boxes? Not to worry, we are a people organization that believe in a growth mindset, so if you are an enthusiastic learner with passion for technology, you’ll fit right in

ABOUT US
Why join us

Embark on your new adventure at Euroclear, and work at the heart of the global capital markets. We connect over 2,000 financial institutions across the globe. As an open and resilient infrastructure, we contribute to the stability of the financial markets. We help clients cut through complexity, lower costs, and mitigate risks of financial transactions. At Euroclear, we have the clear ambition to use our key role to facilitate and accelerate a sustainable global financial system.

What We Offer:

Work closely with inspiring, supportive and engaged colleagues from more than 80 different countries.
Practice your talents in a highly professional international environment.
Join a learning and development environment with an emphasis on knowledge sharing and training.
Competitive salary and comprehensive benefits.
New ways of working
Find your own optimal balance within our hybrid working model, where you can connect at the office and also benefit from remote working.

Great Place to Work for All

We are committed to creating an inclusive culture that celebrates diversity and strives to be a Great Place to Work for All. All qualified applicants will be considered for employment, regardless of any aspect that makes them unique (including race, religion, national origin, gender, sexual orientation, age, marital status, pregnancy, disability, …). If you need any specific accommodation due to disability or any other reason, you can let the recruiter know during your application process.

ABOUT THE TEAM
The Group Digital Capabilities (GDC) division contributes to Euroclear’s competitiveness by delivering reliable and sustainable IT solutions for the financial securities markets. Our teams deliver new IT solutions and improve existing applications for both our internal and external clients. We deploy changes into the production environment in a controlled and structured way that does not compromise production stability and we ensure applicative production support.

Experienced Data Scientist

Location: Poland

JOB DESCRIPTION

Division: Group Digital Capabilities (GDC)

Join Euroclear

Euroclear is a financial services company that specializes in the settlement of securities transactions, as well as the safekeeping and asset servicing of these securities. We are located in Brussels and several major cities in Europe and around the world. We are deeply convinced that diversity of talents, backgrounds and opinions is a key to success, by encouraging engagement, energy and innovation.

The “Group Digital Capabilities” (GDC) division ensures Euroclear’s competitiveness by delivering reliable and sustainable IT solutions for the financial securities markets.

Within GDC division, our AIR (Analytics, Insights and Reporting) tribe supports the needs for advanced analytics and reporting from all the entities of the Euroclear Group. Our scope can be summarized as follows:

Operating and leading the evolution of the Data & Analytics Platform (DAP) consisting out of a DataLake, the Group Data Warehouse and a new off-premise Operational Data Store aligned with new market evolutions.
Key player in the AI CoE!
Centre of Expertise for BI & Reporting.
Provide project support and expertise to various business lines.
Help to Build Azure Cloud Data Platform for tomorrow

Our AI Delivery squad helps to transform data into insights using techniques such as machine learning, natural language processing, large language models, mathematical optimization, etc. It is looking for an expert Data Scientist:

Your Profile

Demonstrable record of successful hands-on experiences in the area of sophisticated analytics.
Education in data science without previous practical hands-on experience will not be accepted.
Proficient in Python.
Knowledge of Scala and/or Spark is a plus.
Proficient in relational database querying (SQL) or in data collection and transformation (ETL).
Master analytical techniques such as machine learning, natural language processing, mathematical optimization, large language models…
At ease with visualization tools like Power BI.
Experienced with command line tools (UNIX) and version control tools like GIT.
Know the Hadoop ecosystem (knowledge of the Cloudera distribution of Hadoop will be a plus).
Has work experience with at least one Cloud Provider, preferably Azure Cloud.
Strong verbal and written communication skills as well as good customer relationship skills to present the results of a use case to different audiences (from end users up to division management). You are able to explain sophisticated concepts in a simplified manner.
Experience implementing advanced analytics solutions into a well-controlled production environment.
Able to learn quickly, adjust to changes and think creatively!
Self-motivated and confident with a positive demeanor.
Excellent time management and organizational skills, with attention to details.
Past experience in agile development methodologies and make sure that the work you’re doing contributes to the final product.
Stay abreast of new tools and technologies to practice up-to-date data analytic strategies.

In addition

Master’s degree or equivalent experience in machine learning, statistics, applied mathematics, or a related quantitative field, combined with strong IT skills. A relevant PhD can be valorised.
5+ years of experience in advanced data analytics.
5+ years of experience in Python.

Please note that this is a permanent position and we do not offer freelance/contract arrangement for the role.

#LI-LA1

ABOUT US
Why join us

What We Offer:

Work closely with inspiring, supportive and engaged colleagues from more than 80 different countries.
Practice your talents in a highly professional international environment.
Join a learning and development environment with an emphasis on knowledge sharing and training.
Competitive salary and comprehensive benefits.

New ways of working

Find your own optimal balance within our hybrid working model, where you can connect at the office and also benefit from remote working.

Great Place to Work for All

Enterprise Architect - Data

Locations: Poland, Belgium, France, United Kingdom

JOB DESCRIPTION

Division: EA

You will join the Enterprise Architecture (EA) division at Euroclear, a leading post-trade financial market infrastructure.

The EA division is an authority and multi-disciplinary group of architects responsible for:

Defining the enterprise architecture directions & standards, aligned to the company strategies & goals;
Defining the investment themes to develop or transform the IT capabilities supporting the business units’ strategies;
Maintaining a multi-year strategic investment plan & technology map and advising on IT investment decisions;
Steering the definition & realisation of capabilities and solutions to support business objectives (process, applications, data and technology) in alignment with the enterprise architecture directions.

Role

You will be joining our EA Data Squad and – as an Enterprise Architect for Data – you will guide the implementation of our corporate & IT strategy and IT transformation by defining and managing the enterprise data architecture and our data capabilities covering data management, data systems and data usage.

You will deliver and supply the following architectural services:

Strategy Enablement
- Assembling and analysing strategic Business and IT objectives and demonstrating understanding of external industry and market trends, to resolve potential impact on the enterprise’s strategy, direction, and architecture
- Lead analysis of current and future-state capabilities and IT environment to detect gaps and opportunities, assess new technologies, and recommend solutions for improvement to drive the enterprise towards its targeted outcomes.
- Facilitating Business and IT alignment and supporting the translation into an executable change roadmap that will realise the strategic objectives and deliver the targeted value outcomes, requiring close collaboration with a wide range of collaborators.
- Delivering target and/or transition architectures and standards and ensuring they are properly maintained and governed, providing viable options and transparency of strategic direction and implications for the enterprise and for steering of delivery.
Strategy Implementation Oversight
- Providing visibility on the progress of the capability implementation and alignment with established targets and intended roadmaps.
- Providing clarity on the evolution of Technology Debt and the planning and implementation of mitigation and remediation actions.
Delivery Planning and Solutions
- Developing clear standards, reference architecture patterns, principles and guardrails, through the EA governance model, to support effective and efficient decision-making and provide clarity for delivery initiatives.
- Collaborating with delivery and infrastructure teams to ensure consistency with the enterprise architecture, to maximise shared technologies, tools and processes where appropriate, and provide continuous feedback towards the further evolution of the enterprise architecture.
Architecture Advisory
Providing consultative advice and support, adapted to the relevant context, for business leaders and other stakeholders who seek actionable recommendations to support decision-making on strategy, delivery, M&A and/or other relevant topics.
Architecture Practice
- Collaborating with other architects and supporting delivery of transversal architectural topics and supplying a positive working environment.
- Supplying continuous improvement of architectural practice and effective delivery of architectural services.

Profile

5 years’ experience (minimum) in a relevant data architecture role, preferably within a leading financial or corporate enterprise.
Demonstrated experience with architecting enterprise data platforms, preferably leveraging cloud-based technologies such as Azure Synapse & Data Fabric.
Expert analytical, planning and organisational skills, and you are able to connect the dots and navigate in a constantly evolving environment.
Result-oriented and you collaborative to deliver business outcomes.
Able to balance out the longer term and short-term views and implications of different options and paths of action.
Self-motivated, eager to learn and you have a proactive working approach.
Effective leadership and communication skills and are an extraordinary teammate, able to work optimally at various levels of the organization, with a proven sense of ownership and ability to influence others to move toward consent.
A good communicator and you can adapt your messages and style to different audiences and seniority. Fluency in English is required.
An active listener.
An active contributor to the different communities and governance bodies as applicable.
Master’s or bachelor’s degree in business, computer science, engineering, or a related field of study, or equivalent experience.
A good understanding and knowledge of business and technology operating models, strategic planning and cost-benefit analysis, security and risk management, information and data management, systems development methodologies and agile principles and frameworks, and/or IT service delivery, infrastructure and operations.
Experience within the Financial Services industry and you have an understanding of the complexity of the regulatory environment – considered as a plus.
Certified in an Enterprise Architecture framework (e.g. TOGAF) and are familiar with Enterprise Architecture tools – is an advantage.

ABOUT US

Why join us

What We Offer:

Work closely with inspiring, supportive and engaged colleagues from more than 80 different countries.
Practice your talents in a highly professional international environment.
Join a learning and development environment with an emphasis on knowledge sharing and training.
Competitive salary and comprehensive benefits.

New ways of working

Find your own optimal balance within our hybrid working model, where you can connect at the office and also benefit from remote working.

Great Place to Work for All

ABOUT THE TEAM

The Enterprise Architecture team (EA) is a multi-disciplinary group of experienced Business and IT architects in charge of, defining the enterprise architecture directions & standards to allow the company to achieve its ambitions. Translating business strategies into execution and creating business cases to develop or transform the capabilities supporting the business units’ strategies,. Maintaining a multi-year Business/IT plan & technology roadmap, and providing steer for the decisions on IT investments. And, defining architecture solutions (integrated process, applications, information and technology) to business problems in alignment with the enterprise architecture directions, and guiding the delivery teams during solution realization.

Data Governance Analyst

Location: Poland, Belgium, France, UK, Netherlands

JOB DESCRIPTION

Job Opportunity: Security Analyst – Data Governance Tribe (CISO Division)
Location: Brussels, Belgium | Hybrid Work model 8 days per month in the office

Who We Are
At Euroclear, we power the world’s financial markets by delivering secure, efficient, and reliable infrastructure. Security is not just a function here—it’s embedded in everything we do. As part of our dedication to safeguarding critical financial services, we’re looking for a Security Analyst to join our Data Protection Governance team within the CISO (Cyber Information Security Office) Division.

About the Role
As a Security Analyst in the Data Governance Tribe, you will help shape and carry out our cybersecurity standards, contribute to developing new security policies, and ensure our data protection systems are resilient, inclusive, and future-ready. You’ll collaborate closely with internal Audit, Risk, and Business units to maintain a safe and secure digital ecosystem.

We believe in teams with varied strengths and value outstanding perspectives. This role is open to candidates from all backgrounds who are passionate about cybersecurity and eager to make a tangible impact.

Your Mission

In this role, you will:

Provide expert analysis and support for security architecture, operations, and controls
Evaluate and improve data protection technologies and governance frameworks
Conduct risk assessments and participate in investigations, forensic analysis, and incident responses
Design and implement security monitoring solutions and data loss prevention strategies
Collaborate across teams to ensure flawless integration of security into new technologies and projects
Support the evolution of cloud and email security solutions

What You Bring

We’re looking for a blend of skills and experience. If you have some or all of the following, we’d love to hear from you:

Solid understanding of infrastructure or application security domains
Experience with Microsoft 365, Exchange Online, SharePoint, Teams, OneDrive, Intune, Azure Information Protection, or similar tools
Knowledge of McAfee ePO, endpoint protection, secure email gateways, CASB/DLP tools, and SIEM solutions
Technical knowledge in networking, system administration (Windows, Active Directory), and vulnerability assessment
Comfort with scripting or programming (PowerShell, Python, SQL, etc.)
Familiarity with standards like CISM, CISSP, ISO/IEC 27001/02, SOX, NIST, GDPR

Your Superpowers

Critical thinking and analytical mindset with a solution-oriented approach
Good communication skills—able to tailor messages to both technical and non-technical audiences
A collaborative spirit—able to work across cultures, disciplines, and geographies
A passion for continuous learning and adapting in a fast-paced environment
Drive, curiosity, and a hands-on mentality

Why Join Us?

Flexibility: We support work-life balance through hybrid work models and adaptable schedules.
Purposeful: Join a team that plays a crucial role in protecting the global financial ecosystem.
Growth: We offer continuous learning opportunities and clear paths for career advancement.

Your Next Step

Are you ready to help shape the future of digital trust and security at Euroclear? Apply now and bring your whole self to work

ABOUT US

Why join us

What We Offer:

Work closely with inspiring, supportive and engaged colleagues from more than 80 different countries.
Practice your talents in a highly professional international environment.
Join a learning and development environment with an emphasis on knowledge sharing and training.
Competitive salary and comprehensive benefits.

New ways of working

Find your own optimal balance within our hybrid working model, where you can connect at the office and also benefit from remote working.

Great Place to Work for All

ABOUT THE TEAM

As a global critical financial infrastructure, the protection of Euroclear information and assets is fundamental to the companys’ business. Security is at the core of our services, firmly embedded in the management systems and processes of the company. You will be joining our Chief Information Security Office (CISO) in charge of putting in place the required controls to adequately and effectively protect our information assets.