Data Engineer (microsoft Azure & Fabric)

Data Engineer (microsoft Azure & Fabric)

Posted 1 day ago by Digimasters Ltd

£450 Per day
Undetermined
Hybrid
London

Summary: The role of Data Engineer at Digimasters involves designing, building, and optimizing data solutions on Microsoft Azure and Microsoft Fabric. The position is critical for enabling clients to leverage their data assets for advanced analytics and digital transformation. The ideal candidate will have hands-on experience with modern data stacks and a strong focus on delivering high-quality data solutions. This is a contract position based in London, requiring collaboration with both internal teams and client technical staff.

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines and data integration workflows using Microsoft Azure services.
  • Implement and support Microsoft Fabric solutions, including dataflows and real-time analytics features.
  • Develop and maintain ETL/ELT processes for business reporting and analytics.
  • Optimize data architectures for performance, reliability, and cost efficiency.
  • Collaborate with stakeholders to gather requirements and deliver aligned data solutions.
  • Ensure high-quality, secure, and compliant data management practices.
  • Support migration and modernization of legacy data systems into Azure environments.
  • Monitor, troubleshoot, and improve data workflows, implementing automation as needed.
  • Produce and maintain technical documentation for data pipelines and architecture.

Key Skills:

  • Strong hands-on experience with Microsoft Azure data services.
  • Direct experience delivering solutions using Microsoft Fabric.
  • Advanced SQL skills and experience with data modelling and transformation.
  • Familiarity with data governance and compliance frameworks.
  • Ability to work independently and collaboratively in a client-facing environment.
  • Excellent communication skills to translate technical solutions into business value.
  • Bachelor’s degree in Computer Science or related field preferred.
  • At least 3 years of experience as a Data Engineer.
  • Demonstrable expertise in building data pipelines on Azure.
  • Knowledge of Python or other scripting languages is an advantage.
  • Certification in Microsoft Azure Data Engineering is a plus.

Salary (Rate): £450 per day

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:
ABOUT DIGIMASTERS Digimasters Ltd was founded in 2017 as a digital transformation consultancy focused on technology, business process optimisation and data analytics. Digimasters works across all industries and provides experience in organisations of all sizes. Primarily based in London, UK, we work in many regions including the US, EU, APAC and the Middle East. Digimasters takes on additional talent during large programmes of work. For our engagements with clients in Architecture, Engineering, and Construction (AEC), as well as other sectors, we have several roles supporting the delivery of technology, business change, and data programmes. THE ROLE We are looking for an experienced Data Engineer to join our delivery team on a contract basis, with a specific focus on designing, building, and optimising data solutions on Microsoft Azure and Microsoft Fabric. This role is critical to helping our clients unlock the full value of their data assets, supporting advanced analytics, reporting, and digital transformation. The ideal candidate will be confident working with a modern data stack, automating data pipelines, and delivering reliable, scalable, and high-quality data solutions in enterprise environments. This position reports to the Managing Director of Digimasters and will work closely with our clients’ technical teams, as well as internal data architects, analysts, and governance specialists. RESPONSIBILITIES Design, build, and maintain scalable data pipelines and data integration workflows using Microsoft Azure services such as Data Factory, Synapse Analytics, Data Lake, Databricks, and related technologies. Implement and support Microsoft Fabric solutions, including dataflows, data warehouses, and real-time analytics features. Develop and maintain ETL/ELT processes to support business reporting, analytics, and machine learning. Optimise data architectures for performance, reliability, and cost efficiency in cloud environments. Collaborate with data architects, analysts, and business stakeholders to gather requirements and deliver data solutions aligned with business goals. Ensure high-quality, secure, and compliant data management practices, in line with G.D.P.R. and relevant data regulations. Support the migration and modernisation of legacy data systems into Azure and Microsoft Fabric environments. Monitor, troubleshoot, and improve data workflows, implementing automation and error-handling as needed. Produce and maintain technical documentation for data pipelines, architecture, and best practices. EXPECTATIONS IN THE ROLE Strong hands-on experience with Microsoft Azure data services (Data Factory, Synapse Analytics, Data Lake, Databricks). Direct experience delivering solutions using Microsoft Fabric. Advanced SQL skills and experience with data modelling, transformation, and integration. Familiarity with data governance, data quality, and compliance frameworks. Ability to work independently and collaboratively in a fast-paced, client-facing environment. Excellent communication skills, able to translate technical solutions into business value. QUALIFICATIONS Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field preferred. At least 3 years of experience as a Data Engineer, ideally in consulting, professional services, or large enterprise environments. Demonstrable expertise in building data pipelines and cloud data solutions on Azure. Experience with Microsoft Fabric is strongly preferred. Knowledge of Python or other scripting languages is an advantage. Certification in Microsoft Azure Data Engineering or related is a plus. This is a Hybrid role and does require candidates to work in central London as well as remotely. We do not sponsor visas so you must be eligible to already work in the UK.