Senior Data Engineer - Python/Hadoop/Spark - sought by leading investment bank based in London - Hybrid - contract

*inside IR35 - umbrella*

Key Responsibilities:

• Design and implement scalable data pipelines that extract, transform and load data from various sources into the data Lakehouse.
• Help teams push the boundaries of analytical insights, creating new product features using data.
• Develop and automate large scale, high performance data processing systems(batch and Real Time) to drive growth and improve product experience.
• Develop and maintain infrastructure tooling for our data systems.
• Collaborate with software teams and business analysts to understand their data requirements and deliver quality fit for purpose data solutions.
• Ensure data quality and accuracy by implementing data quality checks, data contracts and data governance processes.
• Contribute to the ongoing development of our data architecture and data governance capabilities.
• Develop and maintain data models and data dictionaries.

Skills & Qualifications:

• Significant Experience with Datamodelling, ETL processes, and data warehousing.
• Significant exposure and hands on at least 2 of the programming languages - Python, Java, Scala, GoLang.
• Significant experience with Hadoop, Spark and other distributed processing platforms and frameworks.
• Experience working with Open table/storage formats like delta lake, Apache iceberg or Apache hudi.
• Experience of developing and managing Real Time data streaming pipelines using Change data capture (CDC), Kafka and Apache Spark.
• Experience with SQL and database management systems such as Oracle, MySQL or PostgreSQL.
• Strong understanding of data governance, data quality, data contracts, and data security best practices.
• Exposure to data governance, catalogue, lineage and associated tools.
• Experience in setting up SLAs and contracts with the interfacing teams.
• Experience working with and configuring data visualisation tools such as Tableau.
• Ability to work independently and as part of a team in a fast-paced environment.
• Experience working in a DevOps culture and willing to drive it. You are comfortable working with CI/CD tools (ideally IBM UrbanCode Deploy, TeamCity or Jenkins), monitoring tools and log aggregation tools. Ideally, you would have worked with VMs and/or Docker and orchestration systems like Kubernetes/OpenShift.

Please apply within for further details - Matt Holmes - Harvey Nash