Data Engineer

Essential Employment
Newbury
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer needed in Newbury Paying £271.57 per day ref 5289648


Full time hours on a temporarybasis


Key Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines using SSIS in production environments.
  • Engineer high‑quality data integration solutions following best‑practice patterns including incremental loads, CDC, SCD, data quality rules, idempotency, and error handling.
  • Manage and optimise Microsoft SQL Server environments (2016), ensuring high performance, reliability, and scalability.
  • Build and maintain dimensional models, relational schemas, and analytical data structures (Kimball approach preferred).
  • Support the full project management life cycle, including requirements gathering, technical design, documentation, testing, deployment, and post‑release support.
  • Deliver application support, maintenance, and root‑cause analysis across critical data and reporting systems.
  • Implement and enhance data governance practices, including metadata definition, cataloguing, lineage tracking, and quality frameworks.
  • Develop and schedule workflows using SQL Server Agent, SSISDB deployment pipelines, SSIS logging, and/or orchestration tools.
  • Produce high‑quality technical documentation for processes, data flows, and solution components.

If you are interested in the role, please email your CV the reference number.


Essential Employment is acting as an Employment Business in relation to this vacancy. Essential Employment is an Equal Opportunities Employer.


All our roles may be subject to pre-employment checks including references so please beprepared


#J-18808-Ljbffr

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.

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.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.