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.

Reed Technology

Principal Data Engineer

Reed Technology London
82,000 to 95,000
32 - 40 hour


Show Recently closed jobs

    Reed Technology

    Principal Data Engineer

    Reed Technology London
    82,000 to 95,000
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Salary
    £82,000 to £95,000
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Principal Data Engineer

    Lead the design and delivery of a modern cloud-based data platform, driving engineering standards, architecture, and innovation across a growing data function.

    The Opportunity

    This is a senior technical leadership role responsible for shaping data engineering strategy, architecture, and best practices across multiple product domains. Working within a modern cloud environment and Data Mesh architecture, you will drive the development of scalable, secure, and high-performing data solutions while mentoring engineers and influencing technical direction.

    Key Responsibilities

    Provide technical leadership across data engineering teams and product domains.
    Define and implement data platform architecture, standards, and best practices.
    Design and optimise data ingestion, transformation, quality, security, monitoring, and governance processes.
    Lead the development of Data Mesh principles, data models, and semantic data layers.
    Drive automation, CI/CD adoption, and continuous improvement initiatives.
    Mentor and coach data engineers, promoting engineering excellence.
    Ensure cross-domain interoperability, scalability, and compliance.
    Collaborate with architects, platform engineers, and business stakeholders to deliver robust data solutions.About You

    Extensive experience in cloud-based data engineering and distributed systems.
    Strong knowledge of Data Mesh, domain-driven design, and data product thinking.
    Proven ability to lead teams and deliver complex data engineering initiatives.
    Strong communication and stakeholder management skills.
    Passionate about engineering quality, innovation, and mentoring others.Essential Skills & Experience

    10+ years' experience in Data Engineering.
    Experience in a Lead or Principal Data Engineering role.
    Strong cloud data platform expertise, including Google Cloud Platform (GCP).
    Hands-on experience with BigQuery, Dataflow, Datastream, Data Fusion, Cloud Functions, Dataproc, and Airflow/Composer.
    Advanced SQL and Python skills.
    Expertise in data lakes, data warehouses, and modern data architectures.
    Strong understanding of data governance, lineage, MDM, data privacy, and PII handling.
    Experience optimising complex queries and large-scale data processing.
    Proven mentoring, coaching, and leadership capability.
    Experience working within Agile/Scrum environments and across the full software development lifecycle.This is an excellent opportunity for a senior data engineering leader to play a key role in the evolution of a modern cloud data platform, influencing architectural decisions and helping shape the future of a data-driven organisation.

    Sponsorship is not available - applicants must have full right to work in the UK
    Salary description

    £82000.00 - £95000.00 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