National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

Warrington
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Following the acquisition of Brookson by People2.0, the responsibilities of the Data and Analytics team have significantly expanded. We are now seeking a skilled Data Engineer to join our dynamic team.

As a Data Engineer within the Data and Analytics team, you will play a pivotal role in designing, maintaining, and optimising the data architecture for People2.0 Group. This architecture ensures the seamless flow of data from source systems to the Data Warehouse, providing a robust foundation of aggregated analytical base tables and operational sources. Our data architecture is critical in enabling People2.0 Group to become a data-driven organisation.

Your responsibilities will include maintaining existing data pipelines, developing new branches within the architecture, and collaborating closely with stakeholders across the business. You will engage with stakeholders from various regions, including EMEA, US, and APAC, ensuring that the architecture aligns with regional and global requirements.

Reporting directly to the Senior Data Engineer within the Data and Analytics team, you will work alongside internal and external stakeholders, depending on project requirements. Your ability to communicate effectively and adapt to different regions and business needs will be key to your success.

This role offers an exciting opportunity to be part of a team that directly contributes to the data-driven evolution of People2.0 Group.

Our Warrington office (WA1) is easily accessible by car and a 10-minute walk from the nearest train station. We offer hybrid working, with a minimum requirement of 2 days in the office and the flexibility to work from home the rest of the week.

What will you be doing as Data Engineer:

  • ETL Maintenance: Collaborating with the Senior Data Engineer to ensure that the ETL process between source systems and the Data Warehouse remains fully operational, with minimal downtime and blockages.

  • Implementing new systems: Working with key stakeholders to integrate new systems and acquisitions into the People2.0 Data Architecture. This includes mapping fields to existing systems, evaluating master data management (MDM) opportunities, and building core data sources for end-user consumption.

  • Building Data Marts: Working with analytical operations and business analyst to develop key data sources for business end users. This includes analytical base tables for MI, operational metrics for data integrity,

  • Develop Native Databases: Working with the business and/or the Analytics team to build bespoke and native applications that require database structures. This includes designing, optimising and promoting it through the Development process.

  • Improve Data Literacy: Work with the Senior Data Engineer to improve data literacy on end point architecture. Improving engagement, business buy-in and understanding of the data, thus promoting a self-serve analytical culture.

    What are the qualities that can help you thrive as a Data Engineer?

    Essential Experience and Qualifications:

  • Experience and knowledge in SQL databases

  • Strong experience in Data movement methodologies and standards, ELT & ETL.

  • A self-motivated, enthusiastic problem solver, with the ability to work under pressure and prioritise workload in order to meet deadlines.

  • Educated to degree level BSc in - for example - Computer Science, Mathematics, Engineering or other STEM

  • A strong team player with empathy, humility and dedication to joint success and shared development.

    Desirable Experience and Qualifications:

  • Experience building architecture and Data Warehousing within the Microsoft Stack

  • Experience in development Source control (e.g. Bit Bucket, Github)

  • Experience in Low Code Analytical Tools (e.g. Alteryx)

  • Experience in Power Platform Stack (Power BI, Power Automate)

    In Return for joining us as a Senior Data Engineer:

  • Salary of £34,000 - £38,000, depending on experience

  • 23 days annual leave, plus bank holidays

  • Your birthday off

  • 2 Press Pause Days (An opportunity to step back, breathe, and focus on your wellness — whatever that may look like)

  • Hybrid working

  • 5% company pension contribution after 3 months

  • Access to free Financial Advice including Mortgages, and Savings

  • Cyle2Work scheme

  • Perkbox employee discounts

    Next Steps

    If you are interested in being considered for this opportunity, please apply with your CV highlighting your relevant skills in relation to the above criteria.

    Regardless of the outcome of your application, all candidates will be contacted. If your application is successful, Vicky from our talent team will reach out to you within three working days to guide you through the next steps
National AI Awards 2025

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 Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.