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    Senior Engineer, Data Engineering - Edinburgh, United Kingdom - Royal London

    Royal London
    Royal London Edinburgh, United Kingdom

    1 week ago

    Default job background
    Description

    Job Title:
    Senior Data Engineer


    Contract Type:
    Permanent

    Hybrid 50% home/office based
    We are seeking a highly skilled and experienced Senior Data Engineer to join our team at Royal London.

    As a Senior Data Engineer, you will play a critical role in driving delivery for Analytics, Data Science, Machine Learning and AI projects & initiatives across the organisation.

    You will be responsible for analysing complex data sets, developing statistical models, and providing actionable insights to optimise business performance.

    As a Senior Data Engineer, you will have the opportunity to mentor other Data Engineers, work with senior stakeholders in a cross functional environment.

    This will be a hands-on role, as you will have the opportunity to, shape and develop how the team strategically work on various cloud-based projects across the business areas.

    We are looking for Data Engineers who have experience with SQL, Python and Databricks. As well as Azure and AWS cloud environments.

    You will source and prepare data for use in Business Intelligence (BI), Analytics and Data Science project and initiatives.

    You will source, evaluate, interpret, and manage multiple disparate data sources.
    You will own, and manage the team's data - working with business, technology, and external partners. As well as play a lead role in the strategic evolution of the data model to meet business need.
    In addition, you will design and develop data pipelines, from both the on-premises and cloud platforms.

    As well as, prototype solutions to explore business hypothesis in an agile and iterative way which supports a learn fast/fail fast methodology.

    Extensive years experience working as a data engineer in a complex business setting.
    Proficiency in programming languages such as Python, R, SQL, Pyspark, Spark, Scala. As well as considerable experience in Cloud based Databricks, AWS and Azure.
    Experience in building and maintaining reliable and scalable ETL on big data platforms.
    Experience working with large-scale datasets and data manipulation tools.

    We're the UK's largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services.

    We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance.

    Inclusion, diversity and belonging
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