Senior Engineering Manager – Data - (Remote)
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Description
Overview
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.
Pay / Benefits- 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
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