Data Engineer

Picture More Ltd

Manchester, Leeds

Hybrid

GBP 65,000 - 95,000

Full time

47 hours ago
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Job summary

Picture More Ltd. seeks a hands-on Data Engineer to build the next generation of its data platform on Microsoft Fabric, collaborating with Finance and senior stakeholders. You will design pipelines, lakehouses and warehouses, and ensure trusted financial data across the firm.

You’ll work in Leeds or Manchester, three days per week, shaping data models, reporting layers and governance for enterprise-scale data solutions while aligning with enterprise platforms and CI/CD practices.

Qualifications

  • Proven experience as a Data Engineer delivering end-to-end data solutions in enterprise environments.
  • Strong knowledge of Microsoft Fabric (Data Factory, OneLake, lakehouses, warehouses, notebooks).
  • Proficiency in SQL and Python for data transformation and integration.
  • Experience with source control, testing and deployment practices for data projects.

Responsibilities

  • Design and build pipelines, lakehouses and warehouses in Microsoft Fabric.
  • Integrate financial systems with enterprise platforms, APIs and internal services.
  • Create data models and reporting layers for Finance with reliable information.
  • Choose batch or real-time approaches and apply testing and deployment practices.

Skills

Microsoft Fabric
Data engineering
SQL
Python

Tools

Azure DevOps
OneLake
Power BI

Job description

Data Engineer (Microsoft Fabric)

Want to put Microsoft Fabric to work on the financial data behind a major international professional services company?

We are working with a leading organisational based in Leeds & Manchester who is growing its in-house Data Engineering team and is looking for a hands-on Data Engineer to build the next generation of its data platform on Microsoft Fabric.

This is a chance to shape how a major professional services firm uses its financial data. You'll work closely with Finance and senior business stakeholders, turning complex financial and operational data into trusted, well-governed solutions that people across the firm rely on.

What you'll be doing
  • Designing and building pipelines, lakehouses and warehouses in Microsoft Fabric
  • Integrating the firm's financial systems with enterprise platforms, APIs and internal services
  • Building data models and reporting layers that give Finance consistent, reliable information
  • Choosing the right approach for each problem, whether batch or real-time, platform capability or custom code
  • Applying proper testing, source control and deployment practices to everything you build
  • Explaining options and trade-offs clearly to technical and non-technical colleagues
  • Evaluating new Fabric capabilities and recommending where they could add value
Required Experience:
  • Proven background working as a Data Engineer with experience designing and delivering enterprise data solutions end to end in enterprise environments.
  • Strong knowledge of Microsoft Fabric, including Data Factory, OneLake, lakehouses, warehouses and notebooks
  • SQL plus Python or Spark for data transformation and integration
  • Experience with source control, testing and deployment practices for data solutions
  • The ability to understand business and finance processes and turn them into effective data solutions
  • Previous experience working in financial or professional services organisations - Preferred
  • Able to work out of either Leeds or Manchester three days a week
Nice to have
  • Experience with financial systems, reconciliations or financial reporting data
  • Power BI, including semantic models and DAX
  • Azure DevOps or other CI/CD tooling
  • Microsoft Purview or other data governance tools
  • Microsoft Fabric, Azure Data or Power BI certifications
Why join

You’ll join a collaborative, down-to-earth team in an organisation known for its award-winning culture and investment in professional development.

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive workplace where all employees feel valued and respected. We encourage applications from candidates of all backgrounds.

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