Apply to the vacancy...
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Apply to the vacancy...
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Sign up for Jobbird
An error occurred while opening the sign-up page. Please try again.

Loading window...

Forgot my password
Unfortunately, something went wrong while opening the page. Please try again.

Loading window...

Log out
Unfortunately, something went wrong while signing out. Please try again.

Loading window...

Job application sent
Something went wrong while logging in. Please try again.
Something went wrong while signing up. Please try again.

Loading window...

logo
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
Filters
Filters
Location and distance
  • 5 km
  • 10 km
  • 30 km
  • 50 km

  • All
Jobs posted from
Salary from (per month)
Filters
How our sorting works

The order in which job vacancies are displayed is determined by a composite score based on the following factors:

  • Keyword Relevance: How well your search terms match the vacancy details. We prioritize matches found in the job title, followed by job requirements, location names, and educational levels. Matches within general employer information or the organization's name carry a lower weight.
  • Commercial Prioritization (Premium Jobs): Vacancies paid for by employers ('Premium' or 'Sponsored') receive a ranking boost and will appear higher in the search results.
  • Recency (Date Relevance): Newer vacancies are prioritized. The relevance score of a vacancy is reduced by half once the posting is older than 30 days.
  • Proximity (Distance Relevance): Vacancies located closer to your search location are ranked higher. For vacancies located more than 30 km from the search center, the relevance score is halved.
The final ranking is established by multiplying all these individual factors to calculate the total relevance score.

Datatech

Lead Data Engineer

Datatech London
80,000 to 90,000
32 - 40 hour
new


Show Recently closed jobs

    Datatech

    Lead Data Engineer

    Datatech London
    80,000 to 90,000
    32 - 40 hour
    new
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £80,000 to £90,000
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Lead Data Engineer | Build and Lead the Function
    Salary: Up to £90,000
    Location: London | Four days per week in the office
    Ref: J13197

    A scaling AI-powered SaaS business is looking for a Lead Data Engineer to build and lead its Data Engineering function, shaping the team, setting the standards and creating the foundations for its next stage of growth.

    You'll have real ownership and a direct influence on how the business builds and delivers its data products. From improving engineering practices to delivering critical pipelines, you'll see the results of your work in live products and the value they create for customers.

    Working closely with technical and product leaders, you'll develop engineers, bring structure to delivery and stay hands-on with the most complex technical challenges. It's an opportunity to build a function you can be proud of, with strong engineering principles at its core.

    What you'll own:
    ·Engineering standards, tooling and ways of working.
    ·Line management, mentoring and future recruitment.
    ·SQL-led transformation pipelines and Python orchestration.
    ·Code review, automated testing, Git workflows and CI/CD.
    ·Data modelling, deployment controls and production reliability.
    ·Integration of AI outputs into production data pipelines.
    ·Practical adoption of AI engineering tools, supported by validation and quality controls.

    What you'll bring:
    ·Experience building a Data Engineering function or significantly improving an existing team's practices.
    ·Proven line-management experience and a track record of developing engineers.
    ·Strong hands-on SQL and Python skills.
    ·Solid experience in data modelling, cloud infrastructure and deployment automation.
    ·The judgement to balance delivery demands with maintainability and technical quality.

    This would suit a Lead Data Engineer or hands-on Data Engineering Manager who has raised engineering standards, developed people and made delivery more reliable.

    If you're ready to bring that experience to a scaling AI business, apply or message me for a confidential conversation.

    Alternatively, you can refer a friend or colleague through our referral scheme. For each relevant candidate you introduce whom we successfully place, you will be entitled to our gift or voucher scheme.
    Datatech is one of the UK's leading recruitment agencies specialising in data and analytics and is the host of the critically acclaimed Women in Data event. For more information, visit (url removed) <(url removed)
    Salary description

    £80000.00 - £90000.00 per year

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


    Vacancy actions

    Save as favorite
    Share vacancy
    Or apply later


    London England

    Jobs

    • Search for jobs
    • Jobs per location
    • Jobs per job profession
    • Jobs per employment
    • Jobs per educational attainment

    Jobbird

    • Switch to different region
    • Terms and Conditions
    © 2026 Jobbird