Design, evolve and future-proof scalable data architectures to meet performance, cost, and reliability goals.
Build and orchestrate resilient batch and real-time data pipelines.
Data modelling & cataloguing including; Performance Tuning in various technologies (e.g. Spark, Presto, Athena, Postgres).
Build automated testing frameworks including implement anomaly detection and validation checks (e.g. with Great Expectations).
Monitoring & Incident Response including; Enforce data access controls, encryption at rest/in transit, PII masking/anonymization, and collaborate on HIPAA/GDPR (or equivalent) compliance.
Manage and version cloud infrastructure using IaC tooling (e.g. Terraform).
Collaborate closely with Data Scientists, Analysts, Product, and Customer Success teams to design reliable, well-documented datasets and APIs that enable analytics, insights, and ML capabilities.
Drive development of customer-facing data products
APIs, timelines, dashboards
and support machine-learning data pipelines.
Mentor junior engineers, champion best practices, document architectures/runbooks/data dictionaries, and standardize coding conventions and CI/CD.

Bachelor’s degree in Computer Science, Mathematics, or related field (or equivalent practical experience).
Minimum of 5+ years as a Data Engineer with experience developing and supporting with data lakes, warehouses preferably on AWS.
Extensive experience designing, deploying, and maintaining data infrastructure on AWS (or equivalent), including data lakes, warehouses, and real-time pipelines.
Experience across a variety of AWS products such as S3, Glue, EMR, Lambda, Aurora or equivalents.
Professional software development experience with Python and SQL.
Able to work as a team to deliver against requirements in a collaborative and agile way.

Generous annual leave.
Two “well-being” days per year plus the day off for your birthday.
“Summer Fridays” – early office closing on Fridays during summer months.
Annual bonus programme – based on individual contribution.
Access to an annual stipend of £1,000 to assist with personal development activities.
Flexible working hours.
A flat organizational structure where every opinion matters, ideas are cultivated, and innovation is encouraged.

Senior Data Engineer

Key skills