Data Engineer

Irlam
1 year ago
Applications closed

Related Jobs

View all jobs

Data Engineer (Data Science)

Data Engineer (Data Science) - Build ML Pipelines

Data Engineer for Data Science — Marketing Analytics

Data Engineer (Data Science)

Data Engineer (Data Science)

Data Engineer, Data Engineer Data Analyst ETL Developer BI Developer Big Data Engineer Analytics Engineer Data Platform Engineer Cloud Data Engineer Azure Data Engineer Data Integration Specialist DataOps Engineer Data Pipeline Engineer

This hybrid, 12 month FTC, offers a great balance of home and office working. You’ll join your colleagues in your local office at least 2 days a week.

As the UK’s largest fibre-only network, and its only proven wholesale challenger, we’re busy setting new standards for what digital infrastructure can and should be.

Designed from scratch for the internet, our network is greener, more reliable and ready for the future. The products we provide over it not only lead the market on speed, value and service, they help businesses to innovate, provide entire communities with a better foundation for their digital lives and support economic growth, locally and nationally.

What does that mean for you? The opportunity to make internet connections (and daily life) a whole lot better, for a lot of people!

Joining us as a Data Engineer

Working with the Network Architect you'll help to define reporting and analytical needs for meeting network capacity demands. You'll gather business requirements and translate them into technical specs for custom monitoring and reporting tools. This will ensure the solution supports scenario planning, data scalability, and system integration.

You’ll receive a salary of up to £50,000, a performance related bonus, and a range of benefits to support you across your financial, physical and mental wellbeing.

This is some of what you can expect to be doing:

  • Design, develop, and optimise data pipelines using Python for accurate and efficient data processing

  • Integrate with APIs to retrieve and upload data, ensuring data integrity and handling any API-related issues

  • Use GIT for version control to manage changes and collaborate with team members

  • Ensure data availability, quality, and security across systems, and troubleshoot pipeline issues

  • Collaborate with departments to meet data needs and maintain clear documentation for all processes

    What you’ll bring to the role

    With a BSC level qualification in Data Science or IT-related area, you’ll also:

  • Be proficient in Python, with experience in data libraries like Pandas and NumPy

  • Be skilled in working with RESTful APIs, including data retrieval, authentication, and error handling

  • Have strong experience with GIT version control, including branching, merging, and collaboration

  • Have excellent problem-solving and troubleshooting skills for data engineering challenges

    Diversity, Inclusion & Belonging

    We’re a Times Top 50 Employer for Gender Equality. We’re endorsed by WORK180 and we’re a partner of Diversifying. We have pledged our commitment to the Armed Forces Covenant and we’re a Disability Confident Employer. Working together with our Employee Networks, we’re wholly committed to ensuring that our people’s voices are heard, and that everyone feels a sense of belonging and pride to be a part of CityFibre.

    What you can expect from us

    We want to offer you all the support you need to thrive inside and outside of work. This means giving you the tools to grow your career with us, as well as a comprehensive benefits package that you can adapt to your lifestyle. This includes 25 days annual leave, a day off on your birthday, a day off to support a charity or organisation of choice, a range of wellbeing and savings initiatives including private medical insurance, and supportive family friendly and menopause policies

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.

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.