Data Engineer

Warrington
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer - Snowflake, Oracle - Redress and Remediation

Data Engineer (UKIC DV Clearance)

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.

    Should you have any questions, please feel free to reach out to Vicky from the Talent Team on (phone number removed)

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers Education

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Jobs Careers

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

🍪 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.