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Lead Data Engineer ​/ Data Tech Lead

Job in Leeds, West Yorkshire, ME17, England, UK
Listing for: Enablis
Full Time position
Listed on 2026-08-11
Job specializations:
  • IT/Tech
    Data Engineering
Job Description & How to Apply Below

Lead Data Engineer / Data Tech Lead

Permanent, Leeds / Hybrid

Who are we?

Enablis is a technology delivery consultancy who partner with clients to accelerate digital roadmaps. By combining our deep knowledge and best practice experience with the client’s domain expertise, we are able to deliver technology solutions quickly, efficiently and as stress free as possible.

We keep things simple and have a ruthless, uncomplicated focus on how our customers can use technology to add value to their business. That’s why we avoid tricky or ambiguous jargon in our service offerings: as far we we’re concerned, we’re always there to collaborate with clients and use our experiences to shape and affect the delivery of their technology roadmaps as positively as possible.

It’s as simple as that.

We’re looking for passionate, talented tech experts who want to work on projects that matter. At Enablis, you’ll have the chance to collaborate with some of the most talented minds in the industry and create real impact. If you have the skills and ambition, we’ll open the door to incredible opportunities and introduce you to a network of equally driven, like-minded professionals.

Job Brief

The Lead Data Engineer role is responsible for owning the technical direction, design and delivery of data platforms and data engineering solutions for our clients, while providing leadership and guidance to data engineering teams.

As a senior member of a cross-functional delivery team, the Lead Data Engineer takes accountability for the end-to-end architecture and implementation of scalable, reliable and high-quality data solutions. This includes overseeing data pipelines, data warehousing, integration patterns and analytics enablement, ensuring that data platforms are robust, secure and aligned to business outcomes.

Acting as both a hands-on engineer and a technical leader, the Lead Data Engineer sets best practice, mentors engineers, and shapes ways of working to ensure consistently high standards of delivery. They work closely with client stakeholders, product managers, analysts and software engineers to translate business requirements into effective data solutions that support insight, reporting and decision-making.

As a consultant at Enablis, the Lead Data Engineer is fully customer-facing, building trusted relationships and providing clear technical direction. They are also supported by and contribute to Enablis’ engineering communities, helping to evolve shared standards, tooling and approaches across the organisation.

Key Responsibilities

  • Own and lead the technical architecture and delivery of data engineering solutions
  • Provide technical leadership and mentoring to Data Engineers within delivery teams
  • Design and oversee scalable data pipelines, data platforms and warehousing solutions
  • Act as a hands-on engineer on complex or high-risk components where required
  • Define and promote best practices for data quality, performance, security and governance
  • Collaborate closely with clients and stakeholders to shape data strategies and solutions
  • Ensure data platforms meet non-functional requirements such as reliability, scalability and maintainability
  • Shape engineering processes, tooling and ways of working within teams
  • Support engineers’ technical development and progression
  • Contribute to Enablis technical communities and quality forums

Key Skills

  • Strong experience designing and delivering scalable data engineering solutions
  • Expertise in cloud-based data platforms such as AWS (Redshift, Glue), Azure (Data Factory, Synapse) or GCP (Big Query, Dataflow)
  • Advanced proficiency in SQL, including optimisation and performance tuning
  • Strong experience with ETL / ELT pipelines and data transformation frameworks
  • Programming capability in Python, Scala or Java for data processing
  • Deep understanding of data warehousing concepts and best practices
  • Experience designing and maintaining reliable, production-grade data pipelines
  • Ability to take accountability for technical quality across a data engineering team
  • Strong stakeholder management and client-facing communication skills
  • Comfortable working in agile environments and shaping effective delivery practices
  • Strong analytical and problem-solving skills
  • Willing to embrace complexity and uncertainty
  • High attention to detail and quality

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

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