Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

Warwick
4 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Job Title: Senior Data Engineer
Location: Warwick, Hybrid - 2 days per week onsite
Remuneration: Up to £650 per day
Contract Details: Fixed Term Contract (6 months)
Working Pattern: Full Time

Join a leading organisation dedicated to connecting people to the energy they use safely, reliably, and efficiently! We're on the lookout for a talented Senior Data Engineer to elevate our data capabilities and drive our projects forward. If you're passionate about data engineering and thrive in a dynamic environment, we want to hear from you!

Responsibilities:

Lead the design, development, and maintenance of large-scale data systems, including data warehouses, data lakes, and data pipelines.
Create and manage ETL processes using tools like Matillion for seamless data integration.
Develop and maintain data warehouse objects such as tables, views, and security roles in Snowflake.
Extract data from various sources, ensuring accuracy and consistency throughout the process.
Transform and cleanse data, implementing data quality checks and security measures.
optimise ETL processes for performance, scalability, and reliability to support business goals.
Collaborate with data architects, analysts, and developers to enhance data integration initiatives.
Document ETL processes, data mappings, and configurations to ensure knowledge sharing.
Troubleshoot and resolve data issues, performance bottlenecks, and ETL failures efficiently.

Requirements:

Experience with relational databases, ETL, and data warehousing.
Expert knowledge of leading ETL/ELT tools such as ODI, Informatica, Matillion, or SSIS.
Proficient in SQL programming and relational database concepts.
Experience with cloud-based platforms like Snowflake and complex data integration solutions.

Nice to Have:

Domain knowledge in finance data is preferred.
Experience with SAP Systems and Databases.
Familiarity with data visualisation tools such as PowerBI or Tableau.

If you're ready to make a significant impact in the world of data engineering, don't miss this chance! Apply now and join our innovative team in shaping the future of data solutions. Together, we can achieve greatness!

Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you

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.

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.

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

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.