Data Engineer

Data Engineer

An exciting opportunity to join a new scale-up team with many exciting and ambitious plans to create a new Data Engineering and Data Science team over the next 6 - 12 months.

This is a fully remote working position with many creative opportunities. You will also have the chance to create your own career development plan as you progress and make the role your own, as they understand the true value of Data. You will also start working with some exciting technology and exciting Greenfield projects and have a voice when it comes to working with new technologies as the team grows.

Salary: up to £75,000

Location: Remote (within the UK)

Tech Stack: Redshift, DBT, Python and SQL

The Opportunity

You’ll be the team's first dedicated Data hire, building on their strong foundations to take their capabilities to the next level. You’ll work closely with product, engineering, and business teams to refine their data pipelines, optimise tracking, and empower decision-making across the company.

Key Responsibilities

• Enhance and scale our data infrastructure: Build upon our existing DBT pipelines, Redshift warehouse, and Segment integration to ensure robust, scalable, and accessible data systems.
• Enable self-service data capabilities: Create data marts and user-friendly dashboards that empower teams to make informed, data-driven decisions.
• Collaborate with stakeholders: Partner with product, engineering, and business teams to understand data needs and deliver impactful solutions.
• Optimise event tracking and analytics: Improve tracking and customer insights using tools like Segment, PostHog, and GA4.
• Prepare for advanced analytics: Lay the groundwork for data science projects such as churn forecasting, dynamic pricing, and recommendation engines.
• Maintain data quality: Ensure all data pipelines, systems, and models are accurate, reliable, and performant.
• Deliver value through automation: Streamline reporting processes to provide clear, timely insights with minimal manual intervention.

Requirements

• Proven experience with Python and SQL, including DBT for transforming data.
• Proven experience working with modern data warehousing systems like Redshift, Snowflake, or similar.