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Requirements
You will be an experienced Data Engineer / Analytics Engineer with strong expertise in data modelling, warehouse development and BI-ready datasets within a modern cloud data environment.
You will ideally bring:
• 5+ years’ experience in data engineering, analytics engineering or a closely related role
• Strong SQL skills and deep experience designing dimensional models, including facts, dimensions and marts
• Hands-on experience with a modern cloud data warehouse, ideally BigQuery
• Experience with DBT or a similar transformation framework
• Good working knowledge of Python for data pipelines, orchestration or backend data tooling
• Experience building and supporting production-grade analytics workflows and downstream BI consumption
• A pragmatic mindset with a focus on correctness, scalability and business usability
• The ability to work effectively in a small, fast-moving environment where ownership and adaptability are important
Additional experience of interest:
• Experience with Prefect, Airflow or other workflow orchestration tools
• Familiarity with Looker / LookML
• Experience supporting Power BI users or other BI consumers
• Exposure to data quality checks, testing frameworks or observability tooling
• Previous experience in a startup or similarly agile business environment
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Role & Responsibilities
As a Senior Data Engineer, you will play a key role in strengthening the company’s data warehouse and analytics platform, ensuring data is reliable, well-structured and ready to support business reporting and decision-making.
Your responsibilities will include:
• Designing, building and maintaining scalable data models within a BigQuery-based warehouse
• Developing and improving SQL-based transformation layers, with an emphasis on clean, well-documented dimensional modelling
• Contributing to and extending Python-based data infrastructure used for orchestration, monitoring and platform reliability
• Ensuring data quality, consistency and usability for reporting, analytics and downstream tools
• Supporting and enhancing the BI ecosystem, with data consumed through Looker ML and Power BI
• Working closely with engineering, product and business stakeholders to translate analytical needs into durable data structures
• Helping improve the performance, scalability and resilience of the wider data platform
• Contributing to best practice across documentation, testing and maintainability
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Additional Details
Technology Stack
• Data Warehouse: BigQuery
• Transformations: SQL, DBT
• Orchestration: Prefect
• Infrastructure & Tooling: Python, GitLab
• BI & Analytics: Looker ML, Power BI
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Why Join?
This is an excellent opportunity to join a mission-led, venture-backed technology business where data plays a central role in product development, reporting and operational decision-making.
You will have the chance to work in a fully remote role, help shape a growing data warehouse and BI platform, and make a visible impact within a business where your work will directly support both internal teams and end users in the real world.
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