Senior Data Engineer

ZipRecruiter; Derby; Hybrid; GBP 50,000 - 55,000; Full time

Job summary

A leading company is seeking a Senior Digital Data Engineer to join their team in Derby. This permanent position focuses on leading a significant digital transformation from legacy systems to a modern cloud-based environment. You will manage data workflows, ensuring data integrity and accessibility while collaborating with cross-functional teams. Your expertise in data engineering, SQL, and Python will be crucial for delivering impactful results during the migration and integration process.

Benefits

Collaborative and forward-thinking team

Opportunity to work with leading tools and platforms

Impact on strategic decisions through data

Qualifications

• Proven experience in data engineering and ETL development.
• Strong hands-on skills with SQL and Python.
• Familiarity with data governance and compliance frameworks.

Responsibilities

• Lead the data workstream and guide teams through the transformation.
• Design and implement ETL pipelines for ERP migration.
• Support migration planning to ensure data integrity.

Skills

SQL

Python

Data Modeling

ETL Development

Data Governance

Tools

Microsoft Azure

Power BI

Power Apps

Power Platform

Job description

Job Description

Senior Digital Data Engineer

Permanent opportunity

Salary: £50,000 – £55,000 per annum

Location: Derby (Hybrid – 2–3 days onsite per week)

Security Clearance: Due to the nature of the work, candidates must be eligible for SC clearance. Unfortunately, on this occasion we cannot consider applicants who require visa sponsorship.

ABOUT THIS ROLE

We’re working with an organisation currently going through a significant period of change, moving from legacy on-premise systems (SAP-based) to a modern, cloud-based Microsoft Azure environment. As part of this transformation, they’re looking for a Senior Data Engineerto help ensure data is well-managed, accessible, and reliable throughout the process.

WHAT YOU WILL DO

As the Senior Data Engineer, you will lead the data workstream and guide other teams through the transformation. This includes mapping the data currently held in various systems, speaking with data owners to understand how it is used, and helping define data workflows. You’ll play a key role in visualising how data flows across the business and identifying any risks or challenges related to migration. You’ll also support planning and implementation—making sure no data is lost or overlooked during the transition.

• Designing and implementing ETL pipelines as part of a large-scale ERP migration.
• Building a federated, enterprise-wide data model—ensuring accessibility, consistency, and usability.
• Supporting seamless data migration from legacy systems, ensuring integrity and availability.
• Collaborating with domain experts and stakeholders to improve data quality and governance.
• Leveraging tools like Microsoft Azure, Power Platform, Power BI, and Power Apps for integration and reporting.
• Applying SQL and Python for data transformation and analysis.
• Promoting best practices in data compliance, governance, and security.

WHAT DO YOU NEED TO BE SUCCESFUL?

• Proven experience in data engineering, data modelling, and ETL development.
• Strong hands-on skills with SQL, Python, and Microsoft tools (Azure, Power BI, Power Apps).
• Previous experience working on similar migration and integration from legacy ERP systems.
• A proactive communicator who thrives on cross-functional collaboration.
• Familiarity with data governance, compliance frameworks, and enterprise data environments.

NICE TO HAVE, BUT NOT ESSENTIAL

• Experience with SAP applications as a source or target ERP system.
• Exposure to digital twin concepts and enterprise architecture tools.
• Understanding of data warehousing principles.

WHY APPLY?

• Be at the heart of a major digital transformation programme.
• Work with modern cloud platforms and industry-leading tools.
• Join a collaborative and forward-thinking team.
• Make a measurable impact on how data drives strategic decisions.