Data Engineer

Details

Work Location Type:
Hybrid
Office:
London, Stockholm
Type of Employment:
Full Time Permanent
Reference Number:
TEC2762

About Us

At FDJ UNITED, we don't just follow the game, we reinvent it.

FDJ UNITED is one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand. Here, you’ll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day.

We’re looking for bold people who are eager to succeed and ready to level-up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field.

Join us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME?

The role

FDJ is on the lookout for a talented Data Engineer to help us become one of the leading data-driven gambling companies. In this dynamic position within our Data Department, you'll collaborate with diverse stakeholders to maximize data utility, enabling insightful reporting and data-driven decision-making.

What you will do

Build and run data pipelines that ingest data from sources like Oracle databases, APIs, and SFTP files into our Oracle data warehouse.
Write and maintain SQL and PL/SQL (Oracle 19c+) for data processing, reporting, and analytics.
Help design and maintain data models (3NF, Star, Snowflake) that support reporting and downstream applications.
Develop and maintain dashboards and reports using tools like Power BI.
Investigate data issues, perform root‑cause analysis, and help resolve data and reporting problems for stakeholders.
Collaborate with stakeholders to understand their data and reporting needs and help turn them into practical data solutions.
Help support our data platforms, including participating in on‑call and incident handling on a rotation.
Work in an Agile team, contributing to planning, delivery, and continuous improvement.

Your experience

Solid experience working with Oracle databases (19c+), using SQL and PL/SQL in production.
5+ years working with large datasets in a data engineering or similar role.
Good understanding of data warehousing concepts, data modelling (Star/Snowflake/3NF), and ETL/ELT pipelines.
Experience tuning SQL/PLSQL queries and improving performance of reports and data extracts.
Hands‑on experience with at least one cloud data platform, ideally AWS (e.g. Redshift, RDS, or similar).
Exposure to modern data transformation tools such as dbt or similar frameworks.
Basic understanding of cloud concepts (networking, storage, security) and CI/CD for data pipelines.
An interest in learning new tools and technologies, and in improving data quality, reliability, and performance.

Bonus Skills

Experience with other reporting/BI tools such as Power BI or AWS QuickSight.
Experience with cloud data warehouses like AWS Redshift, Snowflake, or BigQuery.
Some knowledge of Kafka and a programming language (e.g. Python or Java) for building data workflows and automation.
Familiarity with AWS services such as S3, Glue, Lambda, EMR, or streaming tools like MSK/Kinesis.
Experience with basic data governance, data quality checks, and security practices (e.g. RBAC, encryption, handling PII).

Our Way Of Working

Our world is hybrid.

A career is not a sprint. It’s a marathon. One of the perks of joining us is that we value you as a person first. Our hybrid world allows you to focus on your goals and responsibilities and lets you self-organise to improve your deliveries and get the work done in your own way.

Application Process

We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as the age, gender, origin, religion, sexual orientation, neurodiversity or disability.