Job Description:

Data Engineer

Perm

London (Hybrid working)

Up to £100,000pa

As a Data Engineer, you’ll be looking to simplify our organisation by developing innovative data driven solutions through data pipelines, modelling and ETL design, inspiring to be commercially successful while keeping our customers, and the bank’s data, safe and secure.

You’ll drive customer value by understanding complex business problems and requirements to correctly apply the most appropriate and reusable tool to gather and build data solutions. You’ll support our strategic direction by engaging with the data engineering community to deliver opportunities, along with carrying out complex data engineering tasks to build a scalable data architecture.

Your responsibilities will also include:

• Building advanced automation of data engineering pipelines through removal of manual stages
• Embedding new data techniques into our business through role modelling, training, and experiment design oversight
• Delivering a clear understanding of data platform costs to meet your departments cost saving and income targets
• Sourcing new data using the most appropriate tooling for the situation
• Developing solutions for streaming data ingestion and transformations in line with our streaming strategy

The skills you'll need

To thrive in this role, you’ll need:

• Strong understanding of data usage and dependencies and experience of extracting value and features from large scale data

• Hands‑on experience with AWS cloud data platforms and managed services, including  S3 object storage, managed ETL,  using Glue and metadata services, along with strong security and governance practices

• Experience of using programming languages like SQL and Python

Additionally, you’ll need:

• Experience designing ETL and ELT solutions, delivering high‑quality, well‑modelled data through rigorous testing, cleansing, monitoring, and modern data warehousing on platforms such as Snowflake
• Hands‑on experience with AWS cloud data platforms and managed services, including  S3 object storage, managed ETL,  using Glue and metadata services, along with strong security and governance practices
• Experience of using programming languages like SQL and Python, alongside knowledge of data and software engineering fundamentals
• Good knowledge of modern code development practices

• Strong communication skills with the ability to proactively engage with a wide range of stakeholders