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    Senior Data Engineer - London, United Kingdom - La Fosse

    La Fosse
    La Fosse London, United Kingdom

    1 week ago

    La Fosse background
    Description

    Senior Data Engineer - 6 month FTC

    London (Hybrid Role)

    £85,000 per annum

    Senior Data Engineer Opportunity

    An exciting opportunity has arisen for a Senior Data Engineer to join a dynamic team dedicated to shaping effortless, digital-first customer experiences. This role is pivotal in driving value for customers through modelling, sourcing, and data transformation. The Senior Data Engineer will collaborate closely with core technology and architecture teams, delivering strategic data solutions while promoting Agile and DevOps methodologies in data engineering delivery.

    Responsibilities:

    • Automate data engineering pipelines to eliminate manual stages.
    • Develop a comprehensive understanding of the organisation's data structures and metrics, advocating changes for product development.
    • Educate and embed new data techniques into the business through role modelling, training, and experiment design oversight.
    • Craft data engineering strategies to build a scalable data architecture and feature-rich datasets for data scientists.
    • Create solutions for streaming data ingestion and transformations in alignment with the organisation's streaming strategy.

    Key Skills and Qualifications:

    To excel in this role, candidates should be intermediate-level programmers and data engineers with qualifications in Computer Science or Software Engineering. A strong understanding of data usage and dependencies, coupled with a proven track record in extracting value from large-scale data, is essential.

    Key skills and experiences include:

    • Extensive experience in ETL technical design, automated data quality testing, QA, documentation, data warehousing, data modelling, and data wrangling.
    • Proficiency in RDMS, ETL pipelines, Python, Hadoop, SQL, and a solid grasp of modern code development practices.
    • Ability to manage multiple data and analytic systems with an awareness of decentralised data architectures.
    • Experience in maintaining ML models, MLOp pipelines, and model factories, along with proven mentoring abilities and good critical thinking with problem-solving skills.

    Nice to Have:

    • Experience with relevant technologies such as Synapse, Azure Data Lake, Azure Data Factory, and Databricks.

    Why Join:

    • This is an opportunity to join a collaborative environment that encourages innovation and values each team member's contribution to shaping the future.
    • The Senior Data Engineer will have the chance to make a meaningful impact on digital-first customer experiences and contribute to the ongoing success of the dynamic team.

    How to Apply:

    Interested candidates are invited to apply by sending Current CV's to

    The organisation is an equal opportunity employer, celebrating diversity, and is committed to creating an inclusive environment for all employees.

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