About the role

Pay Range: £75k-£200k (salary + equity), based in London, UK. We are hiring a Data Engineer to join Squid as one of our first engineers. You will work closely with the founders and early engineering team to build the data foundations of our platform for grid operators. The role combines data engineering, software engineering, infrastructure and applied AI. You will work with large, complex and often inconsistent technical datasets, building reliable systems to ingest, transform, validate, connect and serve them. This is a high-ownership role based in our central London office, with the opportunity to shape our data architecture, engineering practices and product from an early stage.

What you'll do

• Build production data pipelines for ingesting, transforming, validating and serving complex datasets.
• Design scalable data models, schemas and storage systems for structured, semi-structured and geospatial data.
• Build pipeline orchestration using directed acyclic graphs, or DAGs, to manage dependencies, retries, scheduling and observability.
• Develop systems for data quality testing, lineage, versioning, reconciliation and change detection.
• Create tools for combining datasets from different systems while preserving provenance and auditability.
• Build APIs and services that make processed data available to products, customers and AI systems.
• Develop workflows for batch processing, event-driven processing and long-running computational jobs.
• Create monitoring and alerting for pipeline failures, unexpected data changes and quality regressions.
• Work directly with customers and domain experts to understand source systems and data problems.
• Use modern AI development tools to accelerate data mapping, validation and pipeline development.