DATA ENGINEER (LISBON-PORTUGAL)

Gaming1; Portugal; Presencial; EUR 45 000 - 65 000; Tempo integral

Resumo da oferta

Gaming1 is seeking a Data Engineer to design, build, and optimize data pipelines and data products, ensuring data quality, reliability, and scalability across the organization. You will collaborate with existing Data Engineers to strengthen data capabilities and maintain long-term solutions.

The role emphasizes implementing data quality tests, collaborating with stakeholders, and tuning pipelines for performance and maintainability.

Qualificações

• 3+ years building cloud data pipelines with solid SQL, Python/PySpark, and Airflow.
• Experience implementing idempotent or merge-based ingestion patterns.
• Familiarity with automated testing frameworks for data (Great Expectations, Soda tests).
• Strong mentoring, documentation mindset, and collaborative approach.

Responsabilidades

• Implement data quality tests reflecting business rules (completeness, thresholds, referential checks).
• Collaborate with domain cluster’s Data Engineer(s) and stakeholders; document steps (readme.md, Confluence); conduct knowledge-transfer sessions.
• Performance tuning: optimize jobs, implement data contracts, and improve schema/pipeline maintainability.
• Investigate failed loads or QA breaches and coordinate fixes with stakeholders.

Descrição da oferta de emprego

As part of its sustained growth, Gaming1 is looking for a Data Engineer. As a Data Engineer, your mission will be to design, build, and optimize data pipelines and data products, ensuring data quality, reliability, and scalability across the organization. You will collaborate closely with existing Data Engineers to strengthen our data capabilities and ensure smooth long-term maintainability of the solutions you deliver.

YOUR ROLE

• Capability Focused QA – Implement data quality tests that reflect business rules of the capability (completeness, thresholds, referential checks) as well as technical validation tests.
• Collaboration & Handover – Collaborate with the domain cluster’s Data Engineer(s) or relevant stakeholders, document every step (readme.md, Confluence), and conduct knowledge-transfer sessions before roll-off to ensure long-term sustainability.
• Performance Tuning – Optimize jobs and implement data contracts; identify schema or pipeline improvements that reduce long-term compute and enhance maintainability.
• Issue Resolution – Investigate failed loads or QA breaches quickly and coordinate fixes with relevant stakeholders.

YOUR PROFILE

• 3+ years building cloud data pipelines with solid SQL, Python/PySpark, and Airflow (or similar scheduler)
• Demonstrated experience implementing idempotent or merge-based ingestion patterns
• Familiarity with automated testing frameworks for data (Great Expectations, Soda tests)
• Strong soft skills: mentoring, documentation mindset, willingness to 'leave the campsite cleaner', and a strong collaborative approach