Data Engineer

G4S
Rotherham
2 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Role Responsibility:

Data Engineer

£35,000 - £40,000 per annum 

40 hours per week, Monday to Friday

Home Based with occasional travel to Wath upon Dearne, Rotherham, South Yorkshire (1 to 2 times per month)

About Us

G4S Employment Support Services (ESS) deliver the RESTART employability programme on behalf of DWP.  

The RESTART contract will support individuals into long term employment across the North West through our network of Suppliers and Stakeholders. 

To apply for our roles you don't necessarily need experience in Employability or Welfare to Work but you do need to be enthusiastic about understanding the industry, passionate about delivering quality and success and have the skill set to meet the requirements of the role.

About the Role

We are seeking an experienced Data Engineer to join our team.

To be successful for this role, you will have strong IT skills, including expertise in Power BI (Power Query and DAX) and Google GCP, including tools like Google BigQuery and Looker.

As a Data Engineer, you will support ETL processes and development, data analysis and data hygiene enhancement, ensuring all activities are value-driven and focused on improving performance.

Key Responsibilities:

  • Interpret and analyse data to provide actionable insights and reports for decision-makers.
  • Collaborate with colleagues to identify and implement process improvements.
  • Train colleagues to use and interpret operational systems and reports effectively.
  • Document all Data Team processes, activities and projects comprehensively.
  • Analyse data to improve ETL processes, reduce technical debt and enhance automation and data hygiene.
  • Support the Data Strategy Manager in developing a robust Data Warehouse and Framework for current and future business needs.
  • Evaluate the effectiveness of key programs and initiatives through data analysis.
  • Ensure reporting systems support contractual requirements and monitor improvement initiatives in collaboration with Operational Leaders.
  • Assist the Data Strategy Manager in client-facing calls requiring technical expertise.
  • Contribute to improving the data strategy, data quality and technical standards.
  • Produce timely reports and analyses as directed by your line manager.
The Ideal Candidate:

Essential Criteria:

  • Proven ability to transform raw data into actionable reports and effectively analyse and present insights.
  • Strong IT skills, including expertise in Power BI (Power Query and DAX) and Google GCP (tools like Google BigQuery and Looker).
  • Skilled in simplifying data communication to support performance goals.
  • Knowledge of data-related laws and ability to identify exceptions or key focus areas through analysis.

Benefits

While working for G4S, you are entitled to a number of benefits and offers from G4S partners and other organisations, from employee assistance provided through WeCare, to RAC cover and so much more, including the below;

  • Progression, training and development catered to you.
  • Charity work
  • Refer A Friend incentives 
  • Company pension scheme with employer contributions.
  • G4S Life Assurance Scheme.
  • Subsidised healthcare plan.
  • Charity work- Match-IT and Payroll Giving.
  • Confidential Counselling Services
  • 24/7 support specialising in health and medical 
  • Discounts on high street shops and brands including several leading high street brands, retailers and travel suppliers.

G4S  is committed to Inclusion and Diversity. We welcome applications from all suitably qualified candidates, regardless of their race, gender, disability, religion/belief, sexual orientation, or age. We are also committed to offering applicants with a disability an interview if they meet the minimum requirements for the role.

Please contact our recruitment team at to discuss any access needs, reasonable adjustments or additional support that may be required at any point during the recruitment process.

#LI-RG1 

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.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.