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Immersive Labs is a cyber resilience platform trusted by 30%+ of the Fortune 100, ranked #1 in the Forrester Wave 2026. The company helps organizations test whether people, AI-enabled workflows, and security teams can perform securely under realistic pressure, then turn that performance into evidence for improvement and readiness reporting.
You will join the Product Engineering team as a Senior Data Engineer, responsible for developing, maintaining, and refactoring customer-facing analytical reporting. This is a key technical role where you'll collaborate closely with Data Analysts and Analytics Engineers to deliver valuable insights to customers. You'll be a key influencer within the product team, using strong technical and communication skills to work cross-functionally across the organization.
Your main responsibilities include:
- Design, build, and maintain high-quality Python applications for customer-facing reporting
- Maintain and develop data pipelines to ensure data quality and consistency
- Collaborate with analytics engineers to implement data model changes
- Apply domain knowledge to enable the business to access data needed for informed decision-making
- Work in a friendly, multi-disciplinary agile team and participate in Hack Weeks for innovative problem-solving
Immersive Labs values determination, ingenuity, collaboration, and finding unique technical solutions for unique products. The company was founded in 2017 and has grown to over 300 employees globally with more than $180 million in funding. The Bristol office is centrally located, a 10-minute walk from the train station.
REQUIREMENTS:
- Proficient in Python programming with experience using Plotly graphing libraries and application development (Flask and SQLAlchemy experience is a plus)
- Experience maintaining data pipelines, managing infrastructure as code, and implementing data model changes
- Strong proficiency with SQL in cloud data warehouses (BigQuery, Redshift, Snowflake) including performance optimization, data partitioning, and window functions
- Experience following software engineering best practices including version control and continuous integration
- Experience with dbt for data transformation layer
- Experience with IaC tooling such as Terraform or CloudFormation
- Experience with BI tooling such as Power BI or Looker
- Experience with AWS, Azure, or GCP
Note: The posting encourages applications even if you don't match all requirements exactly, acknowledging the confidence gap in hiring.
