Senior Engineering Manager – Data Engineering - Bristol, UK (Hybrid)

In this role you lead and grow Immersive's data engineering team, shaping a modern, scalable data platform that powers insights and decision-making. You partner with product, analytics, and commercial teams to translate data needs into reliable infrastructure and governance. You drive modernization, data quality, and platform reliability at scale, guiding a high-performing, inclusive engineering culture. This position offers impact across the business by aligning data strategy with product and growth goals.

• 25 days annual leave
• 2 volunteering days
• birthday off
• enhanced parental leave
• private healthcare plan
• 7% matched pension

• Lead and develop a team of 8+ data engineers, fostering learning, inclusion, and technical excellence
• Define and execute data engineering strategy aligned with product and business priorities
• Modernize data infrastructure including cloud data warehouse, orchestration, and tooling
• Establish and monitor team performance metrics, delivery timelines, and quality standards
• Collaborate with product, analytics engineering, and commercial teams to bridge data engineering and business
• Advocate scalable, secure, future-proof data solutions and promote best practices
• Represent data engineering in business forums and with senior leadership to articulate value
• Cultivate an inclusive, high-performing culture that values diverse perspectives and growth

• Proven experience leading data engineering, analytics engineering, or platform teams (3+ years)
• Strong coaching/mentorship style and ability to develop others
• Deep understanding of modern data architectures, integration practices, orchestration, and cloud platforms (AWS, GCP, or Azure)
• Technical credibility in data engineering: SQL, data modeling, pipelines; tools like dbt, Airflow, Fivetran
• Hands-on with cloud data warehouses (BigQuery, Redshift, Snowflake) and data quality patterns
• Ability to communicate complex data strategies to technical and non-technical audiences
• Stakeholder management and data-driven decision making in fast-moving environments
• Experience setting/executing data or technology strategy with KPI-driven outcomes
• Collaborative, inclusive leadership valuing psychological safety
• Familiarity with infrastructure-as-code (Terraform, CloudFormation) and CI/CD practices

• collaboration
• clear communication
• mentorship
• SQL
• data modeling
• pipeline design