National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Engineer

identifi Global Resources
Derby
3 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer_London_Hybrid

Senior Data Engineer - Snowflake - £100,000 - London - Hybrid

Senior Data Engineer (SQL Server / AWS)

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.
National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.