+44 (0) 117 456 3370

Artis Recruitment Ltd

Queen Charlotte House

53 Queen Charlotte St

Bristol, BS1 4HQ

Data Engineering Lead

Data Engineering Lead

Join a prestigious and forward-thinking company as a Data Engineering Lead, celebrated for its dedication to innovation and personal development. This is a unique opportunity to become a pivotal member of their dynamic data engineering team as a Data Engineering Lead, renowned for its excellent culture and collaborative environment. They are seeking a Data Engineering Lead, a role that combines leadership and technical expertise to advance their data analytics capabilities and drive strategic business insights.

The Role:
As a Data Engineering Lead, you will be at the center of their data-driven transformation, leading a talented team of engineers in designing, developing, and maintaining their advanced data analytics platform. You will play a crucial role in their technology evolution, enhancing their analytics infrastructure to support the growth and impact of data science within the organisation.

Responsibilities Include:

  • Leading and mentoring a team of data engineers, fostering a collaborative and high-performance environment.
  • Partnering with BI Developers and Data Scientists to deliver impactful visualization and analysis products.
  • Collaborating with cross-functional teams to define requirements and ensure alignment with business objectives.
  • Designing scalable and efficient data architectures that meet security and governance standards.
  • Promoting a culture of continuous improvement, conducting code reviews, and maintaining coding standards.
  • Leading agile processes and refining project backlogs with key stakeholders.
  • Defining and enforcing development best practices to drive automation and efficiency.
  • Maintaining comprehensive platform documentation, including data lineage and process guides.
  • Exploring new technologies through proof of concepts, adopting a learn-fast approach.
  • Staying current with industry trends and emerging technologies in data development.

What You’ll Need to Succeed:

  • A proactive and visionary approach, with the ability to communicate effectively with both technical and non-technical stakeholders.
  • Strong problem-solving skills and the ability to present complex information clearly.
  • A collaborative mindset with a passion for technology and innovation.
  • Proven experience as a technical lead in data development, working within an agile methodology.
  • Proficiency in SQL and Python, with knowledge of data warehousing and big data frameworks.
  • Familiarity with technologies such as Airflow, Talend, AWS services, and visualization platforms like Databricks and Tableau.
  • Experience with testing, versioning, and documentation tools.
  • A bachelor’s or master’s degree in Computer Science, Software Engineering, or a related field.
  • Excellent leadership, communication, and collaboration skills.

What’s in It for You:

  • A role that not only challenges you but also promotes professional growth, providing opportunities to lead cutting-edge projects and work with the latest technologies.
  • A competitive salary of £70,000 – £80,000 (depending on experience) with a 10% annual bonus.
  • Hybrid working with a 2-3 day in-office split, offering the perfect balance of collaboration and flexibility.
  • Generous benefits including 25 days’ paid holiday, pension contributions, and comprehensive parental leave policies.
  • Benefit from a culture of continuous improvement, with ample opportunities for training and professional development.
  • Be part of a Gold Investors in People certified company that values diversity and fosters a supportive, inclusive work culture.
  • Enjoy benefits like charity matching, significant discounts, and more.

Next Steps:
Ready to take the next step in your career? Send your CV to Adam or give us a call to find out more about this exciting opportunity.

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    Advertised by:

    Adam Kamal

    Adam is a Data & Tech specialist across permanent and interim markets. Data Analysis, Data Science, Machine Learning, Data Architecture & Data Engineering

    TEL: 07301277009

    Connect on LinkedIn

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