UK FoodTech Start-up \| Data \& Insights Engineer \| London (hybrid) \| £55K + Share Options + 20% Bonus
About the Company:
Our client is an exciting UK FoodTech start-up on a mission to redefine how original food brands reach consumers. Often described as “the record label of food,” they combine brand development, technology, and franchise operations to bring trend-setting food concepts to hundreds of neighbourhoods nationwide.
The company partners with exciting up-and-coming food brands, helping them scale rapidly through a network of local kitchen operators.
About the Role:
They are seeking a highly skilled
Data \& Insights Engineer
to join their growing analytics and technology function. This is a hybrid role at the intersection of engineering and insight, responsible for building the company’s data infrastructure while driving actionable intelligence across all business units.
The ideal candidate will be as comfortable designing robust data pipelines as they are analysing and communicating insights to non-technical teams. This is an opportunity to own core parts of the company’s data ecosystem and make a tangible impact on strategic decisions in a high-growth environment.
Responsibilities:
Design, develop, and maintain scalable data pipelines and ETL/ELT processes for ingestion and transformation of data from diverse internal and external sources.
Build and optimise data infrastructure in
GCP
, with strong use of
BigQuery, Dataform, Cloud Run
, and
Mage
for orchestration.
Source and integrate external data efficiently using
Python
.
Ensure end-to-end pipeline reliability with comprehensive
monitoring, alerting, and incident response
systems.
Collaborate closely with cross-functional teams including Product, Marketing, Brand, and Operations to deliver clear, actionable insights.
Conduct in-depth analyses, transforming raw data into compelling insights that guide decision-making.
Lead initiatives to enhance data governance, architecture, and best practices across the business.
Stay up to date with the latest developments in data engineering to improve scalability, efficiency, and data quality.
Requirements:
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field.
3+ years of experience as a Data Engineer or technical Data Analyst in a fast-paced, data-driven environment.
Advanced
Python
skills for data extraction, transformation, and automation.
Expertise in
SQL
and
Dataform
, with experience managing large datasets in cloud-based warehouses (BigQuery, Redshift, or Snowflake).
Proven experience using
Mage
or
Airflow
for pipeline orchestration.
Strong understanding of
GCP
infrastructure, particularly
Cloud Run
and
GCS
.
Analytical mindset with excellent problem-solving and debugging skills.
Strong communicator able to translate complex technical topics for diverse stakeholders.
Enthusiastic, proactive, and collaborative, thriving in a fast-paced culture.
Full right to work in the UK.
Benefits:
Competitive salary (£55K) plus Share Options and performance bonuses (20%).
25 days’ holiday + bank holidays.
Central London HQ (Victoria) with a collaborative, fast-paced environment.
Opportunity to shape the data function at a key stage of growth.
Exposure to cross-functional projects influencing product, brand, and operations strategy.
Supportive, ambitious team culture with clear career development opportunities.