At a Glance
- Tasks: Design and build scalable data solutions using Python, SQL, and Azure services.
- Company: Join a forward-thinking team focused on innovative data engineering.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on cutting-edge technologies and agile practices.
- Why this job: Be part of an exciting Microsoft Fabric implementation and shape the future of data platforms.
- Qualifications: Experience in data engineering, strong Python and SQL skills, and Azure knowledge.
The predicted salary is between 56250 - 68750 £ per year.
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.
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Data Engineer employer: Harrington Starr
Harrington Starr is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As a Dynamics CRM Developer, you will have the opportunity to work with cutting-edge technologies like Azure and Power Platform, while benefiting from a culture that prioritises professional growth and development. Located in a vibrant area, the company fosters a supportive atmosphere that encourages creativity and teamwork, making it an ideal place for those seeking meaningful and rewarding employment.
