Data Engineer Modern Data Platforms

Capgemini; Diegem; Hybride; EUR 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Net expenses

Company car or mobility budget

Health insurance

Meal vouchers

Pension plan

Eco vouchers from €250/year

Flex plan to buy extra days off/buying

32 vacation days

Résumé du poste

Sogeti Belgium is seeking a Data Engineer to design and evolve cloud-based data platforms enabling analytics and AI use cases. You will work close to data and business to deliver scalable and reliable solutions.

The role includes collaboration with architects and client teams, design of pipelines, data ingestion, quality and cost awareness, and a flexible hybrid work model with opportunities to work abroad up to 45 days.

Qualifications

• Must have strong experience as a data engineer on modern data platforms.
• Hands-on experience with Azure and Databricks.
• Solid knowledge of SQL and data modeling concepts.
• Professional working proficiency in English is required; Dutch and/or French are a strong advantage.

Responsabilités

• Design and develop data pipelines on modern cloud platforms.
• Implement data ingestion transformation and data modeling patterns.
• Ensure data quality, performance and cost awareness in data solutions.
• Collaborate with architects, analytics consultants and client teams.
• Contribute to continuous improvement of data engineering practices.
• Enable data availability and quality for advanced analytics and AI use cases.

Connaissances

Data engineering

SQL knowledge

Data modeling concepts

English proficiency

Dutch/French advantage

Outils

Azure

Databricks

Description du poste

At Sogeti, we believe the best is inside every one of us. Whether you are early in your career or at the top of your game, we'll encourage you to fulfill your potentialto be better. Through our shared passion for technology, our entrepreneurial culture , and our focus on continuous learning, we'll provide everything you need to doyour best work and become the best you can be.

YOUR ROLE

You build and evolve modern cloud-based data platforms that enable analytics reporting and AI use cases. You work close to the data and close to the business to deliver scalable and reliable data solutions.

Core responsibilities

• Design and develop data pipelines on modern cloud platforms
• Implement data ingestion transformation and data modeling patterns
• Ensure data quality performance and cost awareness in data solutions
• Collaborate with architects, analytics consultants and client teams
• Contribute to continuous improvement of data engineering practices
• Enable data availability and quality for advanced analytics and AI use cases

YOUR PROFILE

Must have:

• Strong experience as a data engineer on modern data platforms
• Hands on experience with Azure and Databricks
• Solid knowledge of SQL and data modeling concepts
• Professional working proficiency in English is required. Dutch and or French are a strong advantage.

WHAT YOU'LL LOVE ABOUT WORKING HERE:

At Sogeti Belgium we offer flexibility in more than one way: next to our hybrid way of working, where we offer you can work 70% from home, we also offer our flex abroad program. With this program you can work up to 45 days abroad, this to maintain a good work-life balance.

Next to this we also offer following additional benefits:

• Net expenses
• Company car or mobility budget (whatever works best for you)
• Health insurance
• Meal vouchers
• Pension plan
• Eco vouchers from €250/year
• A flex plan where you can buy extra days off, update your insurance or buy home office supplies
• 32 vacation days

Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a localpartner with global scale. With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, andsmarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud andapplication development, all driven by AI, data and automation.