BI & Data Warehouse Developer

Northwich
1 month ago
Applications closed

Related Jobs

View all jobs

BI/Data Engineer

Data Warehouse Developer

Data Warehouse Manager

Senior Data Engineer

Data Engineer

Data Engineer

BI & Data Warehouse Developer – Cheshire – £60,000 + Benefits – REF 032

£50,000 pa - £60,000 pa + Company Bonus + Benefits

Cheshire
Mon – Fri
Full-time, Hybrid Working Model

An exciting opportunity has arisen to join a global medical device manufacturing organisation that develops, manufactures, and supplies innovative solutions used in applications worldwide.

The business operates across multiple international markets with manufacturing, R&D, and commercial operations spanning Europe, the UK, and further global locations. Having grown significantly through strategic acquisitions and international expansion, the organisation is investing heavily in its data and analytics capability to create a single source of truth across its global operations.

As part of this ongoing digital transformation, the company is now seeking a BI & Data Warehouse Developer to play a key role in designing, building, and optimising its enterprise data warehouse and BI reporting landscape.

The Role:

  • Collaborate with cross-functional teams to gather requirements and translate them into robust technical solutions

  • Design, develop, and maintain secure, scalable data warehouse architectures, including schema and storage structures

  • Build and support ETL / ELT pipelines integrating data from multiple global source systems

  • Create and optimise dimensional data models to support analytics and reporting

  • Develop clean, analytics-ready datasets through complex SQL queries, stored procedures, and functions

  • Partner with stakeholders to design and deliver high-quality BI dashboards and reports, following UX and reporting best practices

  • Support forecasting and sales reporting systems as key data sources for BI

  • Monitor, tune, and maintain data warehouse and BI performance, including capacity planning

  • Provide technical troubleshooting, root cause analysis, and ongoing system support

  • Work with third-party vendors where required to resolve technical issues

  • Produce and maintain technical documentation and support user training

  • Proactively identify opportunities to enhance BI capabilities and user experience

    Skills & Experience Needed:

  • Degree in Computer Science, IT, or equivalent hands-on experience

  • Strong experience with BI and data warehouse technologies (Qlik Sense, Power BI, Snowflake, Qlik Talend Cloud or similar)

  • Solid experience working with SQL-based databases (MS SQL and/or Oracle)

  • Proven capability designing and maintaining ETL / ELT processes

  • Advanced SQL and/or PL/SQL skills

  • Experience working with data governance, quality, and gap analysis

  • Strong analytical and problem-solving mindset with attention to detail

  • Confident communicator able to engage both technical and non-technical stakeholders

  • Ability to manage multiple priorities in a fast-paced environment

    This role offers the opportunity to work within a collaborative, forward-thinking organisation where data plays a critical role in supporting strategic decision-making across a global footprint. It is well suited to someone who enjoys hands-on development while contributing to a broader data transformation journey.

    To apply for this role, please call and/or send your CV to David Hopkin

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.

Jobs

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.

Careers

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.

Jobs

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.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.