Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Lead Data Engineer

PXC
Manchester
1 day ago
Create job alert
Lead Data Engineer

Join to apply for the Lead Data Engineer role at PXC


On a mission to find great talent | Talent Acquisition Specialist @ PXC

We are PXC, the UK’s largest provider of wholesale connectivity. Our vision is to be the UK’s #1 wholesale platform, a one-stop shop provider of connectivity, voice, cloud and security underpinned by the UK’s most robust, secure, resilient and reliable network.


Born from the combination of Virtual1 and TalkTalk’s wholesale services and national network business, we operate across our 3 core sites (Salford, London and Skopje, North Macedonia).


Our mission is clear, to be the UK’s best company to work for and best to work with. We believe this success is driven by the power of our employees. We empower our people to become true experts in their field who embody our values every day: we care; we challenge; we commit.


About the Team

The Strategy, Insights & Performance department exists as a force multiplier in PXC. The department’s Insights function is made of multi-disciplinary Hubs which are aligned to specific business domains. As the centre for PXC’s data engineering, reporting and analytics, the Hubs work to make insights the engine of business success. They partner with senior leaders (up to the Executive Leadership Team), expert analysts (Analyst Community) and Data Authority (Quality, Governance, Architecture, etc.) to deliver value. The role sits within a Hub, reporting to the Insights Hub Manager.


About the Role

As a Lead Data Engineer, you will be fundamental to the success of the Insights Hub, managing pipelines that transform, collate and organise data into a data model that enables value to be derived from it. In addition, you will be responsible for the continued maintenance and updates of the data model used by your Hub, working in partnership with other Lead Engineers to avoid duplication. To be successful, you will bring curiosity, accountability and enthusiasm to your day-to-day role, with strong communication and task management. A passion for data is essential.


Key Responsibilities

  • Manages, coaches and develops data engineering team within the Hub
  • Works with Delivery Manager on backlog management and workload allocation
  • Engages with stakeholders to understand requirements in order to shape design and modelling
  • Supports workshops and discovery sessions where required
  • Breaks down work for more junior data engineers, so that they can work independently from backlog items, with all blockers removed
  • Provides effort estimation to Delivery Manager for own work, and for those of their team being assigned work items.
  • Manages code branching and deployment pipelines for own work and that of other data engineers
  • Delivers code, makes deployments when required as well as design responsibilities
  • Ensures own work meets development standards (ways of working and technical standards) and supervises the quality and standards aspects of the work of data engineers
  • Supports incident investigation and problem solving where required by Operations team
  • Consults SME whenever requirements suggest introduction of new tech or new technique
  • Contributes to knowledge base through documentation and feedback on technical standards
  • Works as a leader within the Hub by setting the example of best practice, mentor/support more junior team members and take an active role in continuous improvement.
  • Develops and maintains working knowledge of the business’s products, systems, key processes.

Must have

  • Work collaboratively with business and technology stakeholders to define, document and analyse reporting and analytical requirements
  • Design and document flexible and practical data warehouse models to recommended industry standards
  • Design robust, secure data pipeline architectures to populate data lake and SQL databases in the cloud
  • Experience in Agile delivery and DevOps ways of working
  • Line manage a small team of Senior Data Engineers and Data Engineers
  • Mentor and guide the wider development team to transition to cloud data architectures and design patterns
  • Act as SME for the Enterprise Data Warehouse and its underlying technologies providing support to end users and stakeholders, plus the wider development and test teams.
  • Conscientious approach to documenting solutions and ‘can do’ attitude

How we look after our employees

  • Our brand new “PXC Flex” benefit launched in January 2025, which includes Flex30, an additional 30 hours* of leave every year for you to use how you wish
  • Our hybrid working policy offers you flexibility to work from home as well as connecting with your colleagues in one of our accessible and collaborative office spaces
  • A starting holiday allowance of 25 days* holiday and up to 10 extra days* leave via our holiday purchase scheme
  • Free private healthcare for all employees, competitive pension scheme and the opportunity to earn bonus
  • Free broadband for all employees plus gifts for major life events such as marriages and births
  • Flexible salary sacrifice scheme including dental, gym plus a huge range of shopping and leisure discounts so you can save even more cash
  • A range of inclusive employee networks to help integrate employees into life at PXC

(* Days and hours are based on a full-time employee’s working pattern and leave is pro‑rated for part‑time employee)


At PXC, we know that diversity means success and innovation. We want our workplace to reflect the communities and customer we serve. Being inclusive is part of our DNA; we are all 100% human, and we create a culture where you can truly be yourself.


We’re also not your usual 9‑5. We are a dynamic workplace and we want to talk to you about how you like to work.


Seniority level Mid-Senior level


Employment type Full‑time


Industries Telecommunications


#J-18808-Ljbffr

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.