Senior Data Engineer

• Up to £85,000 DoE plus bonuses
• Active eDV required
• London Location – full-time on-site when required
• Expertise required in AWS, Data Pipelines, ETL, Data Storage, and Dev Ops methodologies

This role sits within our client’s rapidly growing Cloud Data Platforms team, part of the Insights and Data Global Practice. You will join a multidisciplinary group of data and platform specialists who deliver modern cloud-based transformation for clients across a range of sectors. In this role, you will design and build data pipelines, develop ETL/ELT processes, and create innovative data solutions using the latest cloud technologies and frameworks across AWS.

• Build data pipelines to ingest, process and transform data for analytics and reporting.
• Develop ETL/ELT workflows to move data efficiently into data warehouses, data lakes and lake houses using open-source and AWS tooling.
• Apply Dev Ops practices, including CI/CD, infrastructure as code and automation, to improve and streamline data engineering processes.
• Design effective data solutions that meet complex business needs and support informed decision-making.

• Strong AWS expertise, including tools such as Glue, Lambda, Kinesis, EMR, Athena, Dynamo
  
  DB, Cloud Watch, SNS and Step Functions.
• Skilled in modern programming, particularly Python, Java, Scala and PySpark.
• Solid knowledge of data storage and big data technologies, including data warehouses, databases, Redshift, RDS and Hadoop.
• Experience building and managing AWS data lakes on S3 for both structured and unstructured data.

To apply, please either click online or email directly to henry. For further information, please call  or . By applying for this role, you give express consent for us to process and submit your application to our client in conjunction with this vacancy only. You may also connect with the hiring manager on Linked In by searching for their name. They look forward to hearing from you.