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.

Connells Group

Data Engineer

Connells Group Simpson
32 - 40 hour


Show Recently closed jobs

    Connells Group

    Data Engineer

    Connells Group Simpson
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Job Description

    We’re looking for a talented and passionate Core Data Engineer to join our Group Technology team in Milton Keynes. You’ll play a key role in delivering Connells Group Reporting Data, covering architecture, data modelling, design, and pipelines. You’ll work closely with technical specialists to innovate, share ideas and continually enhance team capability. Your work will support strategic decision‑making across the Group by delivering accurate, timely reporting for all brands and business units.

    We offer a hybrid working arrangement with 1 day per week in our Milton Keynes office.

    Key Responsibilities

    Apply best practices for data design, ensuring scalable, high‑quality and consistent architecture and modelling.

    Provide timely and accurate root‑cause analysis and resolution within SLA timeframes.

    Work with the Core Data Lead to build a unified team work plan aligned with business objectives and data initiatives.

    Collaborate with Reporting Engineers to define, develop and enhance the Common Data Model.

    Team Roles & Responsibilities

    Work within the overall data architecture, ensuring that it aligns with the business's data strategy, scalability and future requirements. Continuously optimise for improved data flow, accessibility and security.

    Design and develop data ingestion processes, integrating multiple data sources. Maintain the Common Data Model to ensure organisation‑wide consistency.

    Apply Agile principles for iterative and collaborative development.

    Ensure data pipeline quality, reliability and performance. Develop, test and implement monitoring to ensure effective operation.

    Support cross‑functional data projects, providing expertise as required.

    Deliver data solutions that support project goals and business outcomes.

    Proactively monitor systems and pipelines, identifying issues early and responding promptly to minimise disruption.

    Experience & Skills Required

    Proven experience in Data Engineering, with strong hands‑on experience in Python, Data Modelling, Data Warehousing.

    Strong background in incident resolution, requests, changes and problem‑solving within SLAs.

    Hands‑on experience with Spark, Data Architecture, SQL and Delta Lake.

    Cloud development experience (AWS, GCP or Azure).

    Working knowledge of Medallion Architecture.

    Demonstrated capability in implementing and supporting pipelines in demanding environments.

    Strong communication skills and confidence presenting ideas and technical approaches.

    Willingness to learn, adopt and improve best practices and standards.

    Ability to work effectively in complex, high‑pressure environments using both legacy and modern technologies.

    Strong analytical thinking and attention to detail.

    Desirable

    Experience with Fabric, Azure, JIRA, Confluence, CI/CD, GitHub and Git Actions.

    Certifications in Data Engineering, Cloud, Data Modelling or Data Architecture.

    Experience with development lifecycle processes for data pipelines.

    STEM degree (Computer Science, Mathematics, Engineering, Physics) or equivalent practical experience.

    **Please note that we are unfortunately unable to provide visa sponsorship for this position. Applicants must have the right to work in the UK.

    Connells Group UK is an equal opportunities employer and encourages applications from suitably qualified candidates regardless of sex, race, disability, age, sexual orientation, transgender status, religion or belief, marital status, or pregnancy and maternity.

    CF00810
    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


    Simpson 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