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Kindred Group

Data engineer

OnsiteSeniorSouth Wimbledon, the United KingdomApplications closedPlatform

Our Take

Build data pipelines for a leading data-driven gambling company, enabling insightful reporting and decision-making.

What you’ll do

  • Build and run data pipelines
  • Write and maintain SQL and PL/SQL
  • Design and maintain data models
  • Develop and maintain dashboards/reports
  • Investigate and resolve data issues
  • Collaborate with stakeholders
  • Support data platforms, on-call rotation

What they’re looking for

  • 5+ years data engineering experience
  • Oracle databases (19c+), SQL, PL/SQL
  • Data warehousing concepts, data modelling
  • ETL/ELT pipeline experience
  • SQL/PLSQL query tuning
  • Cloud data platform experience (AWS preferred)

Skills & Focus Areas

  • SQL
  • PL/SQL
  • Oracle
  • Data Modeling
  • ETL
  • Power BI
  • AWS
  • dbt

As posted by Kindred Group

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.

 

What You Bring

  • 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.

Your experience 

  • 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).

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