Lead Data Engineer

We are hiring a Lead Data Engineer: Exciting role in the Financial Services Space Location: UK-based | Flexible/Hybrid Working Options Contract Type: Permanent / Full-Time Overview I'm currently recruiting on behalf of a prestigious UK financial services organisation that is expanding its Retail Data Operations team. Following a strategic internal merger, they are hiring three Lead Data Engineers to support the build-out of new data capabilities focused on retirement solutions. This is a fantastic opportunity to join a forward-thinking team working with cutting-edge technologies in a collaborative and inclusive environment. Key Responsibilities • Design, develop, and maintain scalable data pipelines using Snowflake, Azure Synapse, DBT, and Azure DevOps • Ensure solutions are GDPR-compliant and aligned with business and technical requirements • Lead Agile delivery within Scrum teams, translating user stories into actionable engineering tasks • Collaborate with architects, product owners, and stakeholders to deliver high-impact data solutions • Drive continuous improvement in engineering standards and release management processes • Mentor and support junior and mid-level engineers, fostering a culture of learning and excellence Ideal Candidate Profile • Proven experience in data engineering, including ELT/ETL, data integration, and data warehousing • Hands-on expertise with Snowflake, Azure Synapse/Data Factory, DBT Cloud, and Azure DevOps • Familiarity with cloud platforms, streaming technologies, and dimensional data modelling (Kimball) • Strong understanding of Agile methodologies (Scrum/Kanban) and DevOps/DataOps principles • Excellent communication and stakeholder engagement skills • A proactive mindset with a focus on quality, compliance, and innovation Interested? If you're a seasoned data engineer looking to take the next step in your career, I'd love to hear from you. Apply now or reach out directly to discuss the opportunity in more detail.