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    Senior Engineer, Data Engineering - London, United Kingdom - Regal Cloud

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    Description
    6 Month Contract
    Hybrid, London 2 Days p/w
    £As a Senior Data Engineer, your role is multifaceted - from hands-on data platform engineering to consultative engagements with diverse customer stakeholders, including Business Owners, Business Analytics, Data Engineering teams, Application Development, End Users, and Management teams.
    Craft resilient and efficient data pipelines for both batch and real-time streaming. Architect and design cloud-based data infrastructure using Infrastructure-as-Code tools.

    Collaborate and Innovate:
    Work closely with product managers, software engineers, data analysts, and scientists to develop scalable, data-driven platforms and tools. Your expertise will guide deployment architectures and answer in-depth technical queries.
    Head a team of engineers to deliver impactful results, fostering an Agile project environment. Develop software frameworks that address and solve data problems at scale.
    Experience: 7+ years in data engineering with a focus on implementing large-scale lakehouses (Databricks, Snowflake, Synapse).


    Cloud and Data Services Mastery:
    Comprehensive knowledge of Azure data services (Databricks, Synapse, ADF) and associated infrastructure (firewalls, storage, key vault, etc.).
    Strong skills in SQL, Python, and Spark.

    Data Architecture Knowledge:
    Solid understanding of Data Modeling and lakehouse concepts.

    Software Tools:
    Familiarity with JIRA, Git, Jenkins, TFS, Shell, PowerShell, Bitbucket, and Agile methodologies in data-centric projects.
    Keen understanding of technology and industry trends affecting data analytics decisions within enterprise organizations.
    Certifications in Azure Data Engineering and related technologies are highly valued.

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