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    Head of Data Engineering - Birmingham, United Kingdom - Clearwater People Solutions

    Clearwater People Solutions
    Clearwater People Solutions Birmingham, United Kingdom

    3 weeks ago

    Default job background
    Full time
    Description

    A fantastic opportunity has a risen with our Financial Services client, for a Head of Data Engineering to join the team.

    The Head of Data Engineering will be responsible leading a team of data engineers to architect, build, and maintain a new data lakehouse solution and pipelines that drive the digital transformation initiatives and support business reporting requirements.

    The Head of Data Engineering will be involved from the very beginning of the project and will have experience of Azure Datalake and Databricks.

    Key responsibilities for the Head of Data EngineeringDefine and drive the data engineering strategy and technical roadmap in alignment with the company's digital transformation goals.

    Lead and mentor a team of data engineers to design, develop, and deploy data pipelines and solutions that meet business needs.

    Lead the development of the new solution with a small team, whilst being hands-on.
    Collaborate with cross-functional teams to understand requirements and translate them into technical solutions.

    Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications.

    The Head of Data Engineering will be a remote based role with the need to go into the office once per week in Birmingham.

    Key Responsibilities for the Head of Data Engineering10 years+ Data Engineering experience, leading data engineering teamsProven track record of leading successful digital transformation initiatives involving data engineering and analytics.

    Significant hands-on Microsoft Azure stack experience is a must: Data Lake, Data Factory, Synapse, Databricks, Power BIStrong in delivering solutions at scale, on time and within budget.

    Strong background in data warehousing, data architecture, data modelling, integration, ETL/ELT processesPlease apply as directed
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