Data Engineer

HAYS Specialist Recruitment
Cambridge, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

Data Engineer

Erin Associates South Yorkshire, United Kingdom
£55,000 – £60,000 pa

Data Engineer

Gold Group City of London, United Kingdom

Data Engineer

Consortium Professional Recruitment Hessle, United Kingdom

Data Engineer

SF Partners Manchester, United Kingdom

Data Engineer

VIQU Energy London, United Kingdom

Data Engineer

Damia Group London, United Kingdom
Posted
5 Mar 2026 (Last month)

Your new companyYou will be working for a large, well-known organisation who are a big player within their industry. Your new roleOur client are seeking a talented Data Engineer to join their expanding data team. In this role, you'll support the development and ongoing enhancement of their data platforms, including their enterprise data warehouse.

  • Develop and refine advanced T-SQL queries, stored procedures, and database logic.
  • Design, build, and maintain scalable data pipelines and ETL processes that feed into the data warehouse and wider analytics platforms.
  • Play an active role in the growth, enhancement, and optimisation of the company's data warehouse, ensuring it remains accurate and aligned with business needs.
  • Support and maintain SSRS and Power BI reporting solutions that use warehouse and operational data.
  • Assist with SQL Server administration, including installation, configuration, patching, security, and performance tuning.
  • Monitor database and warehouse workloads, diagnosing and resolving performance or integrity issues.
  • Ensure strong standards around data quality, governance, modelling, and security across all datasets and warehouse layers.
  • Work closely with business stakeholders to translate requirements into well structured data models and reporting solutions.
  • Contribute to internal documentation, best practices, and conti...

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.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.