
Senior Data Engineer
- Wimbledon, South West London
- Permanent
- Full-time
- Develop and maintain robust and efficient data solutions and products that includes data integration, data transformation, data modelling and reporting.
- Work with cross-functional teams to translate business requirements into technical solutions, document them as GAPs by aligning them with Architects
- Develop sophisticated reporting solutions that provide compelling narratives and actionable insights, with a strong focus on performance, scalability, and driving the adoption of generative AI to enable intuitive self-service analytics.
- Enhance data engineering processes through automation, implementing CI/CD pipelines, and optimizing ETL/ELT flows to improve efficiency and maintainability.
- Initiates and experiments with new ideas and approaches that support A&I strategy.
- Champion best development and QA practices, ensuring the team adheres to established data standards and continuously improves quality.
- Supports training of new Data Engineering team members and proactively looks for ways to share their knowledge
- Proactively support and maintain data products, including handling code reviews, release management, troubleshooting incidents, and providing on-call support as necessary
- Ensure that you, and your team, adhere to the Governance, Risk & Compliance (GRC) obligations within your direct responsibility and control.
- Ensure any non-compliance incidents within your team are raised through the appropriate channels (Compliance Incidents Process) and that your team are informed of any reporting processes relevant to them.
- Challenge processes, policies and projects that will negatively impact compliance within the Group.
- Ensure your team's completion of all mandatory compliance trainings within the set deadline.
- Reach out to the Compliance Teams if unsure of any of your compliance obligations or the requirements are unclear.
- Strong data engineering background in designing and implementing data applications and products.
- Preferably 5+ years working with data.
- Experience working with data and Oracle Databases (12c and above) in a Developer / Analyst Role using Oracle SQL and PLSQL
- Implementation of ETL processes and data structure.
- Experience with tuning of SQL queries, reports, and processes.
- Experience with AWS services like S3, Redshift, and Lambda for data storage and computation
- Knowledge of open-source tools like Airflow, DBT and Airbyte
- Experience with BI tools such as Power BI, AWS Quicksight
- Experience with engineering best practices applied to data e.g., testing, CI/CD
- Good attitude and willingness to learn new skills and technologies.