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.

SF Partners

Data Engineer

SF Partners St Helens
55,000 to 65,000
32 - 40 hour


Show Recently closed jobs

    SF Partners

    Data Engineer

    SF Partners St Helens
    55,000 to 65,000
    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
    £55,000 to £65,000
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Data Engineer - Python / PySpark / Microsoft Fabric

    £55,000 - £65,000 + Benefits
    St Helens - 1-2 days per week

    This is an opportunity to join an organisation at a particularly interesting point in the development of its data capability.

    The business has invested heavily in modernising a sizeable legacy data estate, moving away from traditional SQL-based platforms and establishing a modern Microsoft Fabric/Azure data environment.

    The foundations are now in place.

    The next stage is about building on them.

    As the Data Engineer, you'll join a growing team responsible for developing the pipelines, transformations and data products that sit on top of the new platform.

    Importantly, this isn't a traditional Azure Data Engineer role dominated by ADF, stored procedures and drag-and-drop development.

    The team is deliberately moving towards a more code-led engineering approach, with a strong emphasis on Python, PySpark and notebook-based development.

    What you'll be working with

    The environment includes:

    Python / PySpark
    Microsoft Fabric
    Spark and notebook development
    Lakehouse architecture
    Medallion / Bronze, Silver & Gold patterns
    Delta tables
    SQL
    Azure
    Git / source control
    CI/CD
    Testing, monitoring and data quality

    Experience with Azure Databricks is particularly relevant and transfers well into what the team is building within Fabric.

    You don't necessarily need commercial Fabric experience if you've worked in a modern Databricks/Spark/Python engineering environment.

    Equally, we're open to strong Python Data Engineers who have built production-grade data solutions through code and are looking to move deeper into PySpark, distributed processing and Fabric.

    What makes this different?

    The business isn't simply replacing one data warehouse with another.

    With the core modernisation underway, attention is moving towards how the organisation uses its data, including more sophisticated data products, automation, AI and Generative AI.

    That creates an opportunity to join while there's still a significant amount to build, improve and influence.

    We're looking for somebody who enjoys engineering - someone who would rather write code, solve problems and build something properly than spend their career connecting boxes together in a UI.

    Salary: £55,000 - £65,000
    Hybrid: 1-2 days per week in the St Helens
    Salary description

    £55000.00 - £65000.00 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


    St Helens 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