Lead Data Engineer

Eppleworth
2 weeks ago
Create job alert

Lead Data Engineer

We’re Quickline, and we believe everyone deserves great internet. Whoever you are, wherever you are and whatever you do online. So we’re on a mission to provide just that. Lightning fast, reliable broadband that reaches the places other providers leave behind.

Our mission relies on a team full of inspiring people, and we’re looking for a Lead Data Engineer to build and strengthen the foundations of our data platform, delivering reliable pipelines, governed, high-quality data products that teams across Sales, Network, Customer Experience, Finance and Operations can trust.

If building robust, production-grade data systems motivates you, and seeing trusted data improve how a business performs gives you a sense of achievement, we’d be very interested in learning more about your experience and expertise.

Here’s why you’ll love this role…

  • Build and own core data engineering foundations in a business where data is becoming central to operational performance and decision making.

  • Design and deliver reliable ingestion and transformation pipelines that reduce failures and “multiple versions of the truth”.

  • Create trusted, well modelled datasets that underpin executive KPIs and operational dashboards across the organisation.

  • Improve platform maturity: environments, testing, monitoring, documentation, and release practices that make delivery safer and faster.

  • Work closely with IT, Systems Development and business teams to align system changes with data flows and change control.

  • Be part of a data function that’s building towards a modern, governed single source of truth with clear ownership and quality expectations.

    Here’s why you’ll be great in this role…

  • Extensive hands-on data engineering experience within complex, high-growth or technology-led organisations, including building data platforms from inception to production.

  • Proven track record of transforming fragile or fragmented pipelines into trusted, governed, production-grade data platforms through practical engineering improvements.

  • Strong expertise across the full data engineering lifecycle: data ingestion, transformation and modelling, and enabling consumption through BI layers and semantic models.

  • Deep hands-on experience with modern cloud data platforms, including best practices for testing, monitoring, environments, deployment, and data quality management across pipelines and upstream systems.

  • Experienced leader and communicator, capable of building and developing high-performing data engineering teams while clearly explaining trade-offs and delivery decisions to non-technical stakeholders.

    The benefits…

  • Pension – 5% employer / 5% employee contribution.

    -  Health Cashback Scheme – Can claim back prescription, GP and optician charges, therapy allowance, private outpatient consultations, EAP, 24/7 remote GP service, member discounts.

  • 25 days annual leave + bank holidays, your birthday, house move and wedding day off.

  • Option to buy or sell up to 5 additional days annual leave

  • Enhanced Paternity/Maternity/Adoption leave 

  • High Street Shopping Discount Scheme - Holidays, food and drink, insurance, sport, tech, high street, Ikea, M&S, cinema etc.

  • Free Parking on site.

  • Regular ‘Lunch & Learns’ 

  • Social Events – Summer and End of Year parties etc.

  • Customer Obsessed Awards - Regular opportunities to win!

    Note to agencies –

    Quickline have an internal recruitment team. We will not accept unsolicited CVs from any source other than directly from a candidate via our Applicant Tracking System (“ATS”). Any unsolicited CVs sent to Quickline, via the Quickline careers email address, directly to Quickline employees or managers, will be considered Quickline property and Quickline are free to contact those prospective candidates directly with zero financial repercussions. For further information refer to our careers page.

    Please note: You must have the right to work in the UK in order to be successfully appointed to this role

    #LI-Hybrid

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data/Head of Data Engineer

Senior/Lead Data Engineer

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.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.