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Data Engineer

Coforge
Milton Keynes
1 month ago
Applications closed

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Data Engineer

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Data Engineer

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Data Engineer

Data Engineer

Coforge Milton Keynes, England, United Kingdom

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Location: Milton Keynes, UK (Hybrid – 3 days/week onsite)

Experience: 8–10 years

We are looking for a skilled Data Engineer with strong data analysis capabilities and deep expertise in SAS, complemented by working knowledge of IBM Mainframe systems. Prior experience with Santander and familiarity with diverse banking systems is highly desirable.

Key Responsibilities:

  • Perform advanced data analysis and engineering tasks using SAS, Hadoop, SQL, Spark, Scala, and Python.
  • Work with IBM Mainframe systems to support data integration and transformation.
  • Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.
  • Solve complex data-related problems and optimize data workflows.
  • Contribute to the development and maintenance of scalable data pipelines and architectures.

Preferred Skills & Experience:

  • Strong proficiency in SAS and experience with IBM Mainframe environments.
  • Hands-on experience with big data technologies including Hadoop, Spark, Scala, and SQL.
  • Familiarity with Python for data processing and automation.
  • Prior experience in the banking domain.
  • Excellent communication and stakeholder management skills.

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesIT Services and IT Consulting

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Data Engineering Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the data engineering jobs market in the UK is evolving fast. Almost every organisation is talking about AI, analytics & data-driven decision making – but behind all that sits the data engineering function. Cloud costs, complex data estates, stricter regulation & the explosion of AI workloads are all changing how data platforms are built & run. Some companies are tightening budgets & consolidating teams, while others are doubling down on modern data stacks, lakehouses & real-time pipelines. Whether you are a data engineering job seeker planning your next move, or a recruiter building data teams, understanding the key data engineering hiring trends for 2026 will help you stay ahead.

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

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For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.