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Jobs / Kindred Group (FDJ United) / Data Engineer
Posted 2026-05-21

Data Engineer

Description

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.

Responsibilities
  • 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.
Requirements
  • 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.
Benefits
  • Well-being allowance
  • Learning and development opportunities
  • Inclusion networks
  • Charity days
  • Long service awards
  • Social events and activites
  • Private medical insurance
  • Life assurance and income protection
  • Employee Assistance Programme
  • Pension