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Erin Associates

Data Engineer

Erin Associates Orchard Square
55,000 to 60,000
32 - 40 hour


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    Erin Associates

    Data Engineer

    Erin Associates Orchard Square
    55,000 to 60,000
    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 £60,000
    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Data Engineer – Remote (occasional visits to Yorkshire)
    £55,000 - £60,000 + bonus, 35-hour work week and great benefits
     
    Joining a well-established and highly skilled Data team, an experienced Data Engineer is required to help design and develop modern cloud solutions. To hit the ground running in this role, you will have proven experience designing, building and maintaining enterprise‑scale Data Lakes and Data Warehouses on Amazon Redshift.
     
    As a Data Engineer, you will turn complex data into clarity, build scalable solutions, and help deliver insights that transform how the organisations client’s work. Utilising modern technologies, this role presents an exciting challenge to join a business that promote a healthy work-life balance and encourage professional development.
     
    The role will be primarily remote, with occasional meetups with the team in Yorkshire.
     
    Package:

    Bonus opportunities
    35-hour work week with flexible working
    25 days holiday + 5 days buy/sell + bank holidays.
    Professional development opportunities
    5% employer pension, rising with service + many more. 
    Responsibilities:

    Convert raw data into trusted analytical assets and bring insight to life through Power BI.
    Build and maintain the Redshift‑based Enterprise Data Warehouse and S3 Data Lake.
    Develop and optimise ELT/ETL pipelines across diverse data sources.
    Develop Power BI datasets, dashboards, and reports.
    Build strong semantic models using DAX and best‑practice design.
    Work with stakeholders, analysts, and data scientists to deliver effective solutions.
    Keep abreast of the latest tech and make recommendations that will benefit the department 
    Requirements:

    3+ years’ experience in data engineering and data warehousing.
    Amazon Redshift.
    Data Lake architectures (S3, lakehouse patterns).
    SQL and Power BI development experience.
    DAX / Data Modelling
    Familiarity with ELT/ETL tools.
    Knowledge of data governance, security, and access control.
    Scripting skills
    Agile 
    The company have an excellent reputation within their sector, and have experienced 10 consecutive years of growth, posting record revenues for the last financial year. They promote a healthy work-life balance and will give you the opportunity to develop your technical knowledge.
     
    Click APPLY to be considered for the role as my client is aiming to interview as soon as possible. All interviews are to be conducted virtually, with the process requiring two stages.
     
    Erin Associates welcomes applications from people of all ethnicities, genders, sexual orientations, and disabilities. Please inform us if you require any reasonable adjustments at any stage of the application process.
     
    Contact – Millie Ellis
     
    Due to a high-volume of applications, if you have not heard back from us within 5 working days, please assume that your application has been unsuccessful on this occasion. Your profile may be considered for other suitable vacancies that arise within the next 12 weeks.

    Key words; Data Engineer, Data Specialist, Data Developer. Leeds, Hull, York, Wakefield, Bradford, Manchester, Liverpool, Newcastle, Middlesbrough, Nottingham, Derby, Leicester, Sheffield, Stoke, Peterborough, Coventry, Birmingham, Lincoln, Preston, Cambridge, Oxford

    Erin Associates Ltd is acting as an Employment Agency in relation to this vacancy
    Salary description

    £55000.00 - £60000.00 per year

    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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