Analytics Engineer
About the Analytics Engineer role
As an Analytics Engineer, you will have the opportunity to collaborate with a leading European mobility services provider, backed by nearly 90 years of expertise. As part of this journey, you’ll contribute to the launch of a new Tech Hub in Portugal, helping to drive innovative, technology-led solutions that are transforming how businesses move while contributing to a more sustainable future.
You will collaborate with cross-functional teams, including data engineers, data scientists, and business stakeholders, to ensure data is accurate, accessible, and used effectively to guide strategy and day-to-day decision-making.
Key Responsibilities as an Analytics Engineer
- Design, build and maintain curated data products using SQL and dbt .
- Develop scalable data models applying dimensional modelling best practices.
- Define and maintain certified business metrics and semantic-layer logic.
- Ensure data quality through automated testing, monitoring and data contracts.
- Support the migration of finance reporting from SAP BW to the lakehouse.
- Collaborate with business stakeholders and cross-functional data teams to deliver trusted analytics solutions.
Job Qualifications
- 2-3 years of experience in Analytics Engineering , Data Modelling or Data Products.
- Strong experience with SQL and dbt (or equivalent transformation frameworks).
- Knowledge of dimensional modelling, star schemas, slowly changing dimensions and semantic layers.
- Experience translating business processes and KPIs into reusable and governed data logic.
- Understanding of data quality, documentation, lineage and governance practices.
- Experience with Git , testing frameworks and CI/CD for analytics development.
- Experience with SAP BW structures and finance reporting logic (nice to have, not mandatory).
- Experience with finance or commercial data (nice to have, not mandatory).
- Knowledge of Databricks SQL and Unity Catalog , including metric views and governed data sharing (nice to have, not mandatory).
- Ability to work closely with business stakeholders and reconcile reporting requirements.
- Strong English (international working environment).
Wondering what happens after you apply? See how our recruitment process works.
Be Bold · Work Smart · Change Tomorrow
We started this company with a simple observation: most organizations don’t struggle because they lack technology — they struggle because solutions are too complex, disconnected from reality, or hard to sustain over time. Data and AI can create enormous value. But only when they are designed with clear intent, solid foundations, and a realistic understanding of how organizations actually operate. We’re a young, fast-growing company with plenty of opportunities to learn, evolve, and build something meaningful together.