Data Engineer

Harnham

Nottingham

Hybrid

GBP 59,000 - 72,000

Full time

3 days ago
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Job summary

Harnham in Nottingham is seeking a Data Engineer to join a financial services data transformation programme. You will help build and scale a Microsoft Fabric data platform that becomes the central source of truth for reporting, analytics and decision-making across the business.

Working with the Lead Data Engineer and a data team, you will shape the next phase of the platform, build Bronze/Silver/Gold data architectures, and develop data pipelines with Python, SQL and PySpark.

Qualifications

  • Hands-on experience with Microsoft Fabric in data engineering
  • Strong Python development skills
  • Experience building and maintaining ETL/ELT pipelines
  • Experience working within Microsoft Azure environments
  • Strong SQL skills for data transformation and modelling
  • Knowledge of data warehousing, lakehouse environments and medallion architecture
  • Strong communication skills with both technical and non-technical stakeholders

Responsibilities

  • Build and enhance data solutions within Microsoft Fabric.
  • Develop and maintain Bronze, Silver and Gold data architectures.
  • Integrate and transform data from multiple source systems into Lakehouse environments.
  • Build scalable data pipelines using Python, SQL and PySpark.
  • Support the development of a centralised enterprise data platform and single source of truth.
  • Collaborate with stakeholders to gather requirements and understand business data needs.
  • Support the adoption of CI/CD practices and modern engineering standards.

Skills

Microsoft Fabric
Python
PySpark
SQL
ETL/ELT pipelines
Azure
Data warehousing
Lakehouse
Medallion architecture
Stakeholder communication

Job description

Data Engineer

Up to £65,000 + Benefits

Nottingham (2 Days in Office)

This is a great opportunity to join a well-established financial services organisation that is undertaking a significant data transformation programme. You'll play a key role in building and scaling a modern Microsoft Fabric data platform that will become the central source of truth for reporting, analytics and decision-making across the business.

THE COMPANY

This organisation is a long-established and highly respected UK financial services provider with a large customer base and a strong reputation for trust and stability. Currently investing heavily in technology and data, the business is modernising its data estate and building a cloud-first platform to support future growth, improved insights and better customer outcomes.

THE ROLE

Working closely with the Lead Data Engineer and a collaborative data team comprising engineering, governance and analytics specialists, you will help shape and deliver the next phase of the organisation's Microsoft Fabric platform.

Key responsibilities include:

  • Building and enhancing data solutions within Microsoft Fabric.
  • Developing and maintaining Bronze, Silver and Gold data architectures.
  • Integrating and transforming data from multiple source systems into Lakehouse environments.
  • Building scalable data pipelines using Python, SQL and PySpark.
  • Supporting the development of a centralised enterprise data platform and single source of truth.
  • Collaborating with stakeholders to gather requirements and understand business data needs.
  • Supporting the adoption of CI/CD practices and modern engineering standards.
YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

  • Hands-on experience with Microsoft Fabric and delivering data engineering solutions within the platform.
  • Strong Python development skills.
  • Experience building and maintaining ETL/ELT pipelines.
  • Experience working within Microsoft Azure environments.
  • Strong SQL skills for data transformation and modelling.
  • Knowledge of data warehousing, lakehouse environments and medallion architecture.
  • Strong communication skills and the ability to work with both technical and non-technical stakeholders.
THE BENEFITS

You will receive a salary of up to £65,000 depending on experience.

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