Lead Data Engineer, Data Services and Analytics
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Job description
This is an opportunity to lead a team of data engineers working on complex data pipelines, ingesting and transforming data from/to a variety of sources (email, csv, ODBC/JDBC, JSON, XML, Excel, Avro, Parquet). Data pipelines are primarily developed in AWS using a variety of tools and languages including AWS S3, AWS Athena, AWS Redshift, AWS Glue, java (Docker / Spring).
The position requires leading the data engineering development for a team of data engineers working on a legacy Oracle data platform and delivering data integration and data retrieval services using PL-SQL. A complex transformation programme is delivering the change of people, process and technology to redesign and transform the processing of the Oracle data outputs onto the strategic data platform. This role would ideally have experience of Oracle and PL-SQL, with the aptitude to move to cloud native tooling such as AWS Athena, python, S3. Additionally, a key priority is to manage the people change to ensure the team stability and business continuity throughout the transformation.
Requirements
Disability Confident About Disability Confident A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to .