Data Engineer — Hybrid (Lisbon, PT)

Gaming1; Lisboa; Hybrid; EUR 45,000 - 75,000; Full time

Benefits offered by this job

Hybrid remote up to 50%

International environment

Career development opportunities

Job summary

Gaming1 is seeking a Data Engineer to design, build and operate data products that support decision-making across the company. You will work with SQL and PySpark, create dimensional models for reporting, and ensure data quality through automated tests.

You will join a Data Engineering team in a data-mesh environment, with opportunities to optimize pipelines, reduce costs, and share knowledge through documented code. English proficiency is required.

Qualifications

• Strong SQL skills and the ability to write and optimise complex queries.
• Experience with PySpark (or Python) in a data-engineering context.
• Solid data-modelling knowledge, including Kimball-style star schemas.
• Around 3–6 years of hands-on data-engineering experience, with the autonomy to own work from source to reporting-ready data.
• A collaborative mindset, clear communication skills and comfort working in the gaming industry.
• Professional English.

Responsibilities

• Build data products: design and develop pipelines and models in SQL and PySpark, from ingestion to analytics-ready tables.
• Model data: create clear dimensional models that analysts and Power BI reports can use directly.
• Own quality: implement tests based on business rules, investigate failed loads and improve reliability.
• Improve what exists: tune jobs, evolve schemas and pipelines, reduce compute costs, and leave the codebase better than you found it.
• Share knowledge: document your work in the project’s Git repository so it is easy to understand, maintain and reuse.

Skills

SQL

PySpark

Data modelling

Data engineering

English

Tools

Power BI

Airflow

dbt

Great Expectations

Job description

Gaming1 is seeking a Data Engineer to design, build and operate data products that support decision-making across the company. You will work with SQL and PySpark, create dimensional models for reporting, and ensure data quality through automated tests.

You will join a Data Engineering team in a data-mesh environment, with opportunities to optimize pipelines, reduce costs, and share knowledge through documented code. English proficiency is required.