Data Platform Engineer for Grid AI & Pipelines

Squid; Greater London; Presencial; GBP 75.000 - 200.000; Jornada completa

Descripción de la vacante

Squid is hiring a Data Engineer in London to help build the data foundations of our grid-focused platform. You will work with founders and early engineers to ingest, transform, validate, and serve large, complex datasets for grid operators.

The role blends data engineering, software engineering, infrastructure and applied AI, with high ownership and opportunities to shape architecture and engineering practices from an early stage.

Formación

• Production data pipelines experience.
• Strong Python and SQL skills; PostgreSQL experience.
• Experience designing data models and transformation layers.

Responsabilidades

• Build production data pipelines for ingesting, transforming, validating and serving complex datasets.
• Design scalable data models, schemas and storage for structured, semi-structured and geospatial data.
• Build pipeline orchestration with DAGs to manage dependencies, retries, scheduling and observability.
• Develop systems for data quality testing, lineage, versioning and change detection.
• Create tools for combining datasets from different systems while preserving provenance and auditability.
• Build APIs and services to expose processed data to products, customers and AI systems.
• Develop workflows for batch, event-driven and long-running computations.
• Create monitoring and alerting for pipeline failures and data quality issues.
• Work directly with customers and domain experts to understand data problems.
• Use AI tools to accelerate data mapping and pipeline development.

Conocimientos

Python

SQL

Data pipelines

Data modelling

Herramientas

PostgreSQL

Descripción del empleo

Squid is hiring a Data Engineer in London to help build the data foundations of our grid-focused platform. You will work with founders and early engineers to ingest, transform, validate, and serve large, complex datasets for grid operators.

The role blends data engineering, software engineering, infrastructure and applied AI, with high ownership and opportunities to shape architecture and engineering practices from an early stage.