Data Engineer

Watford
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer Position based in Horsham or Watford
We are seeking a highly skilled and motivated Data Engineer – Power BI to lead the design, development, and implementation of Business Intelligence (BI) solutions. This role involves engaging with stakeholders across the organisation to deliver insightful, data-driven reports that support strategic decision-making.
Location: Astral House, Imperial Way, Watford WD24 4WW or Albion House, Springfield Road, Horsham RH12 2RW
Working Hours: 40 hours per week (Monday – Friday, 9:00 AM start)
Contract Rate: £400 – £500 per day (depending on experience)
Key Responsibilities


  • Collaborate with business stakeholders to identify and define BI reporting requirements and improvement opportunities.

  • Design and develop functional and visually compelling BI reports using Microsoft Power BI and other reporting tools.

  • Maintain and enforce BI-related policies, standards, and governance procedures.

  • Translate business needs into technical specifications and deliver actionable insights via reporting solutions.

  • Support and maintain BI solutions across development, UAT, and production environments.

  • Apply advanced analytics and data visualisation techniques to uncover trends and patterns in complex datasets.

  • Ensure documentation and processes align with the organisation’s development methodologies, including SDLC.

  • Provide operational support and administration for deployed BI platforms, ensuring optimal performance and accuracy.

Key Skills and Experience


  • Minimum 5 years of experience in Business Intelligence development.

  • At least 2 years of experience working within structured, managed ICT service environments.

  • Degree in IT, Computer Science, or a related field.

  • Proven expertise in:
    *
    Power BI, DAX, R Script, Cognos
    *
    SQL Server, Azure SQL Server
    *
    Fact/dimension modelling and database design
    *
    Report deployment via Microsoft Visual Studio and Azure DevOps

  • Strong command of Microsoft Office Suite and Windows Server environments (2012/2016)

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.