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Amtis Professional Ltd

Data Engineer

Amtis Professional Ltd Burton upon Trent
54,000 to 59,000
32 - 40 hour


Show Recently closed jobs

    Amtis Professional Ltd

    Data Engineer

    Amtis Professional Ltd Burton upon Trent
    54,000 to 59,000
    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
    £54,000 to £59,000
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Data Engineer
    £54-59,000 + bonus
    Hybrid Working – 1 day on-site per week
    West Midlands based

    I'm recruiting for a Data Engineer to join an established data team, working on the development and improvement across Azure and Databricks.

    The role will focus on building scalable data pipelines, integrating data from a range of systems and transforming it into reliable, analytics-ready datasets. You'll work across the full engineering lifecycle, from ingestion and transformation through to data modelling, optimisation and supporting data solutions.

    You'll be working with Azure Databricks, Data Factory, Synapse, Data Lake, SQL and Python/PySpark.

    Key responsibilities:

    Build and enhance data pipelines across Azure and Databricks
    Develop ETL/ELT solutions to integrate data from multiple business systems and sources
    Transform and model data for use across analytics and reporting
    Support the ongoing development of the organisation's Data Lake and wider cloud data environment
    Troubleshoot pipeline and data issues, improving performance and reliability
    Help maintain strong standards around data quality, governance and security
    Work closely with Data, BI and the business to understand requirements and deliver effective solutions
    Contribute to engineering standards, documentation and the ongoing development of the platform

    Key experience:

    Experience with Azure Databricks
    Azure Data Factory
    Azure Synapse Analytics
    Azure Data Lake Storage
    SQL and Python
    Understanding of data warehousing and ETL principles
    Strong communication and stakeholder engagement skills

    What's on offer:

    Flexible hybrid working environment
    Opportunity to work with a modern Azure data platform
    Exposure to the latest Azure technologies in a collaborative team investing heavily in both people and technology
    Excellent benefits package
    If you'd be interested in finding out more, or know someone who could be a good fit, please get in touch
    Salary description

    £54000.00 - £59000.00 per year

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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