Data Analytics Engineer

We are looking for a highly skilled Data Analytics Engineer to support product analytics, product marketing, customer support, and operational teams. This role enables data‑driven decision‑making by developing scalable data models and delivering high‑quality insights across the business. The position works cross‑functionally with engineering, data science, and business stakeholders and plays a key role in ensuring the accessibility, quality, and reliability of data.

The successful candidate will become a specialist in our modern data stack, including Snowflake, dbt, Looker, and Hightouch, and will contribute to building a robust analytics capability at scale.

• Data Modeling & Engineering: Build and maintain scalable data models using dbt and Snowflake.
• Transform raw data into clean, reliable datasets for analysis.
• Apply engineering best practices to analytics code to ensure scalability and maintainability.
• Insight & Business Impact: Translate data models into actionable insights for stakeholders across product, marketing, and operations.
• Partner with business teams to define analytics requirements and measurable success outcomes.
• Collaboration & Stakeholder Engagement: Work collaboratively with data engineers, data scientists, and business stakeholders.
• Support cross‑functional teams by delivering high‑quality data solutions.
• Data Governance & Quality: Maintain data documentation, definitions, and lineage.
• Advocate for and uphold data quality and coding standards through code reviews.
• Tools & Technology: Utilize Snowflake, dbt, Looker, Git, and modern data tooling to deliver analytics solutions.

• Collaborates – Builds strong partnerships across technical and business teams to achieve shared outcomes.
• Drives Results – Consistently delivers high‑quality outputs in a fast‑paced, data‑driven environment.
• Ensures Accountability – Takes ownership of data quality, accuracy, and delivery standards.
• Tech Savvy – Adopts and applies modern data technologies to improve efficiency and scalability.
• Manages Complexity – Analyses complex datasets and translates them into clear, actionable insights.

• 3+ years of experience in a data analyst, analytics engineer, data engineer, or similar role.
• 2+ years of experience working with product and/or customer data.
• 3+ years of hands‑on experience writing and optimising SQL for data analysis and transformation.
• Experience using Python, R, or similar tools for data analysis and manipulation.
• 1–3 years of experience working with modern data warehouses and transformation tools (e.g., Snowflake, dbt).
• Experience transforming raw data into clean, production‑ready datasets and maintaining technical documentation.
• Experience working with large‑scale datasets (e.g., high‑volume event or behavioural data).
• Exposure to API integrations and data ingestion processes is desirable.
• Demonstrated ability to work effectively in a remote or distributed team environment.
• Legal right to work in the United Kingdom.

This role is hybrid based in Bath, UK.

The hiring range for this position is between £35,000 - £39,400 annually, however, base pay offered may vary depending on job‑related knowledge, skills, experience, and location. Additionally, this position is eligible for an Annual Bonus.