Senior Data Engineer - Cloud Pipelines & AI

Movar Limited; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading project solutions provider in London is seeking a Senior Data Engineer to build scalable, cloud-first data systems. You will design and manage data pipelines for analytics and AI across complex projects. The ideal candidate has a solid understanding of data architecture, and Azure ecosystem, and is committed to the company's IDEAL values: Integrity, Drive, Empathy, Adaptability, and Loyalty. Join us to make a significant impact in the UK's data-driven transformation.

Qualifications

• Solid understanding of data architecture, APIs, and modern data pipeline design.
• Strong experience within Microsoft's Azure ecosystem.
• Demonstrated ability to lead technical workstreams and mentor junior colleagues.

Responsibilities

• Design, build, and optimise data pipelines using Azure Data Factory, Synapse, and Databricks.
• Develop and maintain ETL/ELT workflows to ensure high data quality and reliability.
• Collaborate with analysts and AI engineers to deliver robust and reusable data products.
• Manage data lakes and warehouses using Delta Lake and Parquet.
• Implement best practices for data governance, performance, and security.
• Evaluate and adopt new technologies to evolve Movar's data platform.
• Provide technical guidance to junior engineers.

Skills

Data architecture

APIs

Data pipeline design

Azure ecosystem

ETL/ELT

DataOps practices

SQL Server

Databricks

Infrastructure as Code

Tools

Azure Data Factory

GitHub

Terraform

Bicep

Microsoft Fabric

Job description

A leading project solutions provider in London is seeking a Senior Data Engineer to build scalable, cloud-first data systems. You will design and manage data pipelines for analytics and AI across complex projects. The ideal candidate has a solid understanding of data architecture, and Azure ecosystem, and is committed to the company's IDEAL values: Integrity, Drive, Empathy, Adaptability, and Loyalty. Join us to make a significant impact in the UK's data-driven transformation.