Senior Analytics Engineer

• +5 years of experience in Analytics Engineering, Data Modelling or Data Products.
• Strong expertise in SQL, dbt, dimensional modelling and semantic layers.
• Experience owning end-to-end analytics solutions from requirement gathering to production.
• Solid knowledge of data quality, testing, governance, lineage and observability.
• Strong stakeholder management with the ability to define and reconcile business KPIs.
• Experience with Git, CI/CD and code review practices.

• Experience with SAP BW and finance reporting. (Nice to have)

• Knowledge of Databricks, Unity Catalog, dbt Semantic Layer or Cube. (Nice to have)

• Python for automation, testing and data processing.(Nice to have)

Next to this, we also offer an attractive compensation package and benefits such as Health and Life insurance, as well as Referral program with bonuses for talent recommendations and other fringe benefits according with our partnerships in for;

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

You'll have the opportunity to collaborate with a leading European mobility services provider, headquartered in Germany and backed by nearly 90 years of expertise. As part of this journey, you'll contribute to the launch of a new Tech Hub in Porto, helping to drive innovative, technology-led solutions that are transforming how businesses move while contributing to a more sustainable future.

• Own and develop scalable data products and semantic models using SQL and dbt.
• Define and govern business metrics, KPIs and reusable transformation logic.
• Lead data quality, testing, observability and analytics engineering best practices.
• Translate complex business requirements into trusted, production-ready data solutions.
• Drive finance reporting migrations from SAP BW to modern data platforms.
• Mentor Analytics Engineers and collaborate with Data Engineers, Analysts and Scientists.

At Capgemini Portugal we have a flexible and dynamic work environment. Flexibility enables a better work-life balance and gives more flexibility to the employee to manage the working hours, as well if he works at the office or remotely, according with the company's hybrid work policy;

We have local programs that promote people growth, reskill and new skills development (Career Acceleration Programs);

We promote an empowering environment with autonomy and peers' relationships among the top scores of our Monthly Employees' feedback;