Lead Data Engineer

Wallingford
10 months ago
Applications closed

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Lead Data/Head of Data Engineer

CGEMJP00330718 Lead Data Engineer

Are you a highly technical data expert ready to lead and innovate?

  • Do you have strong expertise in databases, SQL, MySQL, and Postgres?

  • Are you experienced with AWS tools like Redshift and S3, alongside Google Analytics?

  • Do you want to take the lead in modernising a company’s data infrastructure?

    Why This Role is Great

    This is a highly technical role, ideal for someone who thrives in database management and cloud-based data solutions. You’ll stay hands-on with database optimisation, data migration, and SaaS product analytics.

    In this role, you will:

  • Work across multiple platforms, supporting both internal and external SaaS products.

  • Lead the migration of legacy data systems to AWS, ensuring efficiency and scalability.

  • Optimise databases, particularly SQL, MySQL, Postgres, and Redshift.

  • Utilise AWS services (S3, Redshift) and Google Analytics to enhance data strategy.

  • Ensure robust data governance and performance monitoring across platforms.

  • Engage in collaborative whiteboarding sessions, working closely with cross-functional teams.

    About You

    This role is suited to a highly skilled database expert who enjoys problem-solving and working hands-on with data. The primary focus is on technical expertise and execution.

    What will make you stand out?

  • Strong expertise in SQL, MySQL, Postgres, with a deep understanding of databases.

  • Experience working with AWS tools (Redshift, S3) and Google Analytics.

  • Ability to migrate legacy data systems to AWS while optimising performance.

  • Strong problem-solving skills and a proactive, hands-on approach.

  • Comfortable working in-office three days a week, collaborating with the team.

    What’s in It for You?

  • Lead the technical transformation of a growing SaaS business.

  • Work with cutting-edge AWS and database technologies.

  • Be part of a collaborative, whiteboard-heavy problem-solving team.

  • A hybrid work setup, with flexibility for exceptional candidates.

    The Interview Process

  • First stage: 30-minute introductory call

  • Second stage: In-person technical task assessment

    Ready to Apply?

    For more information or a confidential discussion, get in touch today.

    Apply now and take the next step in your data leadership journey

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