Data Engineer

We are 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'll 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.

• 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).

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.

Pay: £36,281.49-£91,013.08 per year