DESCRIPTION

We’re seeking a strategic and hands-on Head of Data Engineering to lead our data engineering function through the next phase of our growth. This role will be critical in shaping our data infrastructure, enabling scalable data solutions, and guiding the data engineering team in supporting analytics, AI/ML, and business intelligence across the organisation.
You’ll be a leader who thrives on building future-ready data environments and driving best-in-class engineering practices while working closely with cross-functional stakeholders in product, engineering, and the wider business.

SKILLS KNOWLEDGE AND EXPERTISE

• Proven experience leading a data engineering function or large-scale data teams
• Deep technical knowledge in modern data stack: SQL, Python, Spark, Airflow, DBT, etc.
• Hands-on experience with cloud data platforms (AWS is a must; GCP or Azure also considered)
• Strong expertise in data modelling, warehousing (e.g. Redshift, Snowflake), and real-time data processing
• Solid understanding of data security, privacy, and compliance frameworks
• Ability to translate business needs into scalable technical solutions
• A growth mindset with strong people leadership, coaching, and communication skills
• Experience in fast-paced environments, ideally within tech, fintech, or scale-ups

• Lead and scale the Data Engineering team, fostering a high-performing, collaborative culture
• Own the design and implementation of data architecture, pipelines, and platforms across cloud (preferably AWS)
• Drive the roadmap for our data infrastructure and tooling to support analytics, data science, and product development
• Collaborate closely with Data Scientists, Analysts, Product Managers, and Engineers to align data solutions with strategic goals
• Ensure data governance, data quality, and security best practices are upheld across all environments
• Evaluate new technologies and vendors, leading innovation and process improvement
• Act as a thought leader in the data space, helping to shape the company’s long-range data strategy
• Provide technical leadership and mentorship across the team, supporting both career development and delivery excellence