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As a Data Engineer you'll scale the way data powers Veygo. Our engineering teams are encouraged to be full-stack in mindset, breaking down silos and working across the entire data landscape to deliver meaningful outcomes for customers and colleagues alike. Data is central to decision-making, product development, and operational performance. You'll work closely with software engineers, analysts, and teams across marketing, claims, finance and more, helping to build scalable, reliable, and efficient data solutions. A typical day could involve optimising ETL pipelines in Matillion, designing data models in Snowflake, improving observability and governance, or managing cloud-based infrastructure in AWS.
Job Responsibility
Provide technical guidance on data architecture, pipeline design, and optimisation to support scalable and reliable data solutions
Build and maintain ETL/ELT pipelines to ensure efficient ingestion and transformation of data
Design and optimise data models to support analytics, reporting, and real-time decision-making
Collaborate with cross-functional teams to ensure data is embedded into product and business initiatives from the outset
Improve data quality and observability through monitoring, logging, and lineage tracking best practices
Champion engineering standards including automated testing, CI/CD, and effective data governance
Support and troubleshoot production data pipelines, identifying opportunities to improve performance and resilience
Deploy and maintain secure, scalable cloud-based data infrastructure within AWS
Share knowledge through mentoring, paired working, and collaborative learning sessions
Requirements
Proven experience in a Data Engineering role
Strong SQL skills with experience designing efficient and scalable data models
Hands-on experience with Snowflake and Matillion
Experience working within cloud-based environments, ideally AWS
Good understanding of ETL/ELT methodologies and data warehousing best practices
Experience using Python or other scripting languages
Experience supporting real-time or near real-time data solutions
Experience improving data observability and monitoring capabilities
Exposure to CI/CD practices within data engineering environments
Understanding of data governance, security, and best practices within modern data platforms
Strong problem-solving skills with the ability to break down complex technical challenges
Ability to work collaboratively with engineers, analysts, and business stakeholders
Comfortable mentoring others and working in a collaborative engineering environment
Strong attention to detail and a proactive approach to improving performance and reliability
Passion for continuous improvement and knowledge sharing
What we offer
All colleagues eligible for up to £3,600 of free shares each year after one year of service
33 days holiday (including bank holidays) when they join us, increasing the longer you stay with us, up to a maximum of 38 days (including bank holidays)
option to buy or sell up to an additional five days of annual leave