Data Engineer

Harrington Starr; England; On-site; GBP 60,000 - 90,000; Full time

Job summary

A financial services company in London is seeking a skilled Data Engineer to design and build scalable data solutions on Azure Cloud, with a focus on Microsoft Fabric. Ideal candidates will have proven experience in the field, strong Python and SQL skills, and a collaborative mindset. Join us to help shape the next generation of data platforms.

Qualifications

• Proven experience as a Data Engineer or similar role.
• Financial services experience is a must.
• Solid understanding of pipelines and cloud-based ETL/ELT frameworks.
• Exposure to Microsoft Fabric integration is a plus.

Responsibilities

• Design and build robust data pipelines and ETL processes.
• Contribute to the rollout and optimisation of Microsoft Fabric.
• Collaborate with analysts and stakeholders to ensure data availability.
• Collaborate with analysts and data scientists to ensure trusted data for decision making.

Skills

Python coding

Advanced SQL

Data pipelines and ETL processes

Azure services usage

Data architecture

Problem-solving skills

CI/CD

Git

Azure Data Factory

Azure Synapse

Azure Databricks

Data Lake

Tools

Azure Data Factory

Azure Synapse

Databricks

Microsoft Fabric

Version control (Git)

Job description

Location: London

Are you a skilled Data Engineer with strong coding expertise and a passion for building scalable data solutions? We’re looking for a talented professional to join our team and play a key role in designing, developing, and optimising modern data platforms on Azure Cloud — with a focus on an exciting Microsoft Fabric implementation.

What you’ll do

• Design and build robust data pipelines and ETL processes using Python and SQL.
• Contribute to the rollout and optimisation of Microsoft Fabric, shaping the next-generation data platform.
• Work across Azure services (Data Factory, Synapse, Databricks, Data Lake, Functions) to deliver secure and scalable data solutions.
• Optimise data workflows for performance, reliability, and cost efficiency.
• Collaborate with analysts, data scientists, and business stakeholders to ensure high-quality, trusted data is available for decision-making.
• Implement best practices for data governance, monitoring, and CI/CD automation.

What we’re looking for

• Proven experience as a Data Engineer or similar role.
• Must have financial services experience
• Strong Python coding skills and advanced SQL expertise (query optimisation, data modelling).
• Hands-on experience with Azure data ecosystem (Data Factory, Synapse, Databricks, etc.).
• Exposure to or keen interest in Microsoft Fabric and its integration into enterprise data strategies.
• Solid understanding of data architecture, pipelines, and cloud-based ETL/ELT frameworks.
• Familiarity with version control (Git) and CI/CD tools.
• Strong problem-solving skills and the ability to work in an agile, collaborative environment.
• Opportunity to be part of a Microsoft Fabric implementation, shaping a next-generation cloud data platform.
• Work with cutting-edge Azure technologies and modern data engineering practices.

Apply now if you’re passionate about building modern data solutions with Python, SQL, Azure, and Microsoft Fabric, and help us deliver smarter, data-driven decisions.