About the Role This is a newly created strategic leadership position within a growing SaaS and digital services organisation. The Data Engineering Lead will play a pivotal role in modernising the company’s data infrastructure, leading a small but high-performing team, and delivering scalable, secure, and insightful data solutions across both internal operations and external client platforms. The role is ideal for someone who thrives in a fast-paced, transformation-focused environment and is passionate about building robust data systems that drive business performance. You will be responsible for setting the technical direction, guiding platform migration efforts, and ensuring the delivery of high-quality data products and services. Key Responsibilities Lead and mentor a team of data engineers, fostering a culture of technical excellence, innovation, and accountability Oversee the migration from legacy systems (e.g. Pentaho, Jasper) to modern cloud-native platforms including DBT Cloud, Snowflake, Hex, and Looker Design and maintain scalable, secure, and efficient data pipelines and integrations across cloud and on-premise environments Translate business requirements into technical solutions that support reporting, analytics, and data science initiatives Collaborate with cross-functional teams including analytics, product, engineering, and client success to deliver impactful data solutions Champion best practices in data governance, quality, and security Guide technology selection and platform strategy to support long-term scalability and cost efficiency Deliver key projects such as the redesign of reporting platforms and optimisation of data flows, cost models, and transformation processes Maintain comprehensive documentation of data architecture, processes, and workflows Monitor platform performance and proactively address issues to ensure high availability and reliability Required Skills and Experience Minimum 5 years of experience in data engineering, with at least 2 years in a leadership role Strong proficiency in DBT, Snowflake, S3, Looker, SQL, Python, and Bash Proven experience in designing and maintaining data architectures and pipelines in cloud environments Deep understanding of modern data engineering tools and methodologies Experience leading platform migrations and delivering end-to-end technical solutions Excellent stakeholder engagement and communication skills, with the ability to translate complex technical concepts for non-technical audiences Demonstrated ability to mentor and coach technical teams Desirable: Experience in SaaS, gaming, or lottery industries; exposure to analytics, AI, or machine learning workflows What’s on Offer A strategic leadership role with high visibility and impact across internal and client-facing platforms A hybrid working model that supports flexibility and work-life balance, with core collaboration hours from 10am to 2pm A collaborative team environment with strong ties between data engineering, analytics, and product groups Access to best-in-class tooling and ongoing investment in platform innovation Competitive salary package and long-term career development opportunities Interview Process Initial phone screen with Talent Acquisition First-round interview with senior technical leadership (Head of Data and Platform Manager or GM) Second-round interview with executive leadership (GM and Platform Manager) Final offer and onboarding process How to Apply If you are ready to lead the transformation of data infrastructure and help shape the future of scalable SaaS analytics, we encourage you to apply.
