Data Engineering Lead - Madrid - Chubb

    Chubb
    Chubb Madrid

    hace 4 días

    Descripción
    Experteer Overview


    Asegúrese de presentar su candidatura con toda la información solicitada, tal como se expone en la descripción del puesto a continuación.

    In this Data Engineering Lead role, you will architect and optimize data platforms on Azure, Databricks, and Snowflake to enable scalable, high-performance data solutions.

    You will lead agile engineering squads, drive architecture decisions, and mentor teams to deliver cohesive data products. The role combines hands-on technical work with strategic leadership to improve data quality, governance, and decision-making across the organization.

    You will shape best practices, oversee end-to-end delivery, and stay ahead of industry trends to continuously improve our data capabilities.

    This is a high-impact opportunity to influence data strategy in a global insurance environment.

    Compensaciones / Beneficios


    • Design and architect scalable data-heavy applications on Databricks and Snowflake with strong database and data warehouse expertise
    • Define and enforce coding standards and Agile practices to improve team effectiveness
    • Lead technical discussions and guide end-to-end delivery from discovery to go-live
    • Serve as principal technical advisor for Data Engineering across architects, developers, and product managers
    • Oversee development lifecycle, including requirement analysis, deployment, and SQL optimization
    • Mentor junior and senior Data Engineers through workshops, training, and documentation
    • Foster cross-functional collaboration with technical and non-technical stakeholders
    • Conduct code reviews and promote automated testing using specified automation and configuration tools
    • Identify performance bottlenecks and implement optimizations; support backups and disaster recovery
    • Stay current with industry trends and prototype new technologies for continuous improvement
    • Lead data cleansing, curation, harmonization, and feature engineering with alignment to organizational goals
    • Design and implement secure, compliant data strategies addressing GDPR, HIPAA, CCPA
    Responsabilidades


    • Bachelor's degree or higher in Computer Science, Information Technology, or related engineering field
    • Extensive experience developing complex data solutions with Spark, xugodme Python, SQL, Databricks, and Snowflake
    • Strong software architecture understanding for data engineering, including metadata-driven pipelines and streaming patterns
    • Proven experience leading development teams and projects with mentoring
    • Excellent verbal and written communication for diverse audiences
    • Familiarity with Agile methodologies and project management tools
    • Ability to anticipate lifecycle challenges and adapt plans accordingly
    • Attention to detail and commitment to high-quality, precise work
    Requisitos principales


    • 32 days vacation
    • 2 days working from home
    • working from home allowance
    • private medical insurance
    • pension plan
    • stock purchase plan

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