Data Engineer: Build Scalable Data Products for Insight

Gaming1; Lisboa; On-site; EUR 42,000 - 65,000; Full time

Job summary

Gaming1 is looking for a Data Engineer to help us build reliable, scalable data products that support decision‑making across the company while offering you a transparent career ladder and support to grow into your next role.

As part of the Data Engineering team, you will design, build and operate the data products and models that analysts and business teams rely on, using SQL and PySpark from ingestion to analytics‑ready tables.

Qualifications

• Strong SQL skills and ability to 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

English

Collaboration

Gaming industry

Tools

Power BI

Airflow

Great Expectations

dbt

Soda

Job description

Gaming1 is looking for a Data Engineer to help us build reliable, scalable data products that support decision‑making across the company while offering you a transparent career ladder and support to grow into your next role.

As part of the Data Engineering team, you will design, build and operate the data products and models that analysts and business teams rely on, using SQL and PySpark from ingestion to analytics‑ready tables.