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.
21/07/2026
Full time
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.
AI and data centres are booming, electrification is accelerating, and trillions in generation, storage, and connection projects are queued - but the real bottleneck is the grid. Grid planning and operations are becoming a national-scale systems problem: complex network models, messy legacy data, strict governance, overloaded teams, and high-stakes decisions that affect real infrastructure. Squid is building the agentic modelling platform for power grids: a versioned, auditable source of truth where network models, data, changes, assumptions, and decisions can be tracked - and where humans and AI agents can safely work together. We unify legacy planning models, operational data, and grid workflows into software that helps teams run checks, compare models, explain changes, validate assumptions, and move faster without losing engineering rigour. Based in London, Squid is backed by premier investors like Y Combinator and partners with industry leaders including National Grid and Northern Powergrid. About the role We are hiring a Software Engineer with power systems experience to join Squid as one of our first engineers. You will work closely with the founders and early engineering team to build production software for grid operators. The role combines general software engineering, power systems, applied AI and direct customer work. You will contribute across the product, from backend services and data pipelines to frontend interfaces, cloud infrastructure and AI evaluation systems. You will also work with planners, operators and engineers to understand real grid workflows and turn them into reliable, usable software. This is a high-ownership role based in our central London office, with the opportunity to shape the product, technical architecture and engineering culture from an early stage. Pay Range £75k-£200k (salary + equity), based in London, UK. What you'll do Build and ship production software across backend, frontend, data and cloud infrastructure. Develop tools for loading, validating, comparing, visualising and explaining power system models and datasets. Build workflows for grid planning, connections, scenario analysis, data quality and model governance. Design APIs, data pipelines and product interfaces for complex engineering workflows. Create benchmarks and evaluation tools for testing AI models and agents on real power systems tasks. Build human-in-the-loop systems that allow AI to assist engineers while keeping people in control. Work directly with customers to understand their problems, test solutions and improve the product. Use modern AI development tools to prototype, test and ship software quickly. Qualifications Professional software engineering experience building and maintaining production systems. Experience with Python, TypeScript, React, Postgres, APIs, cloud infrastructure or data pipelines. A background in power systems, electrical engineering, grid modelling or energy software. Experience with load flow, short-circuit analysis, contingency studies, grid connections, network modelling or similar areas. Familiarity with tools such as pandapower, PyPSA, GridCal, OpenDSS, PowerFactory, IPSA, PSS E or ETAP. Strong product judgement and the ability to turn unclear, real-world problems into practical software. Experience working across multiple parts of a software stack rather than within one narrow specialism. An interest in applied AI, model evaluation, agent systems and AI-assisted software development. The ability to communicate clearly and work directly with technical customers. High ownership, curiosity and a willingness to learn quickly. Experience with CIM or CGMES, GIS, SCADA, ADMS, DMS, EMS, model validation, data-heavy products or domain-specific AI evaluation would be valuable, but is not required.
21/07/2026
Full time
AI and data centres are booming, electrification is accelerating, and trillions in generation, storage, and connection projects are queued - but the real bottleneck is the grid. Grid planning and operations are becoming a national-scale systems problem: complex network models, messy legacy data, strict governance, overloaded teams, and high-stakes decisions that affect real infrastructure. Squid is building the agentic modelling platform for power grids: a versioned, auditable source of truth where network models, data, changes, assumptions, and decisions can be tracked - and where humans and AI agents can safely work together. We unify legacy planning models, operational data, and grid workflows into software that helps teams run checks, compare models, explain changes, validate assumptions, and move faster without losing engineering rigour. Based in London, Squid is backed by premier investors like Y Combinator and partners with industry leaders including National Grid and Northern Powergrid. About the role We are hiring a Software Engineer with power systems experience to join Squid as one of our first engineers. You will work closely with the founders and early engineering team to build production software for grid operators. The role combines general software engineering, power systems, applied AI and direct customer work. You will contribute across the product, from backend services and data pipelines to frontend interfaces, cloud infrastructure and AI evaluation systems. You will also work with planners, operators and engineers to understand real grid workflows and turn them into reliable, usable software. This is a high-ownership role based in our central London office, with the opportunity to shape the product, technical architecture and engineering culture from an early stage. Pay Range £75k-£200k (salary + equity), based in London, UK. What you'll do Build and ship production software across backend, frontend, data and cloud infrastructure. Develop tools for loading, validating, comparing, visualising and explaining power system models and datasets. Build workflows for grid planning, connections, scenario analysis, data quality and model governance. Design APIs, data pipelines and product interfaces for complex engineering workflows. Create benchmarks and evaluation tools for testing AI models and agents on real power systems tasks. Build human-in-the-loop systems that allow AI to assist engineers while keeping people in control. Work directly with customers to understand their problems, test solutions and improve the product. Use modern AI development tools to prototype, test and ship software quickly. Qualifications Professional software engineering experience building and maintaining production systems. Experience with Python, TypeScript, React, Postgres, APIs, cloud infrastructure or data pipelines. A background in power systems, electrical engineering, grid modelling or energy software. Experience with load flow, short-circuit analysis, contingency studies, grid connections, network modelling or similar areas. Familiarity with tools such as pandapower, PyPSA, GridCal, OpenDSS, PowerFactory, IPSA, PSS E or ETAP. Strong product judgement and the ability to turn unclear, real-world problems into practical software. Experience working across multiple parts of a software stack rather than within one narrow specialism. An interest in applied AI, model evaluation, agent systems and AI-assisted software development. The ability to communicate clearly and work directly with technical customers. High ownership, curiosity and a willingness to learn quickly. Experience with CIM or CGMES, GIS, SCADA, ADMS, DMS, EMS, model validation, data-heavy products or domain-specific AI evaluation would be valuable, but is not required.
Squid, based in London, is hiring a Software Engineer with power systems experience to join early on as one of the first engineers. You will build production software for grid operators, spanning backend services, data pipelines, frontend interfaces and cloud infrastructure. The role blends power engineering with applied AI and close customer collaboration. You will work directly with founders and early engineers, shaping product, architecture and engineering culture in a high-ownership
21/07/2026
Full time
Squid, based in London, is hiring a Software Engineer with power systems experience to join early on as one of the first engineers. You will build production software for grid operators, spanning backend services, data pipelines, frontend interfaces and cloud infrastructure. The role blends power engineering with applied AI and close customer collaboration. You will work directly with founders and early engineers, shaping product, architecture and engineering culture in a high-ownership
About Squid AI and data centres are booming, electrification is accelerating, and trillions in generation, storage, and connection projects are queued - but the real bottleneck is the grid. Grid planning and operations are becoming a national-scale systems problem: complex network models, messy legacy data, strict governance, overloaded teams, and high-stakes decisions that affect real infrastructure. Squid is building the agentic modelling platform for power grids: a versioned, auditable source of truth where network models, data, changes, assumptions, and decisions can be tracked - and where humans and AI agents can safely work together. We unify legacy planning models, operational data, and grid workflows into software that helps teams run checks, compare models, explain changes, validate assumptions, and move faster without losing engineering rigour. Based in London, Squid is backed by premier investors like Y Combinator and partners with industry leaders including National Grid and Northern Powergrid. 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 the 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 (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. Qualifications You do not need to meet every requirement. We are looking for strong data engineers who enjoy making difficult, messy datasets reliable and usable. Professional experience building and maintaining production data pipelines. Strong Python and SQL skills, with experience working with Postgres or similar databases. Experience designing data models, schemas and transformation layers for complex datasets. Experience with directed acyclic graph-based orchestration tools such as Airflow, Dagster, Prefect or similar systems. Familiarity with data warehouses, object storage, queues, APIs and cloud infrastructure. Experience with data quality testing, lineage, observability, versioning or change data capture. The ability to work with incomplete, inconsistent or poorly documented source data. Strong software engineering fundamentals, including testing, code review and maintainable system design. An interest in applied AI, data evaluation and building reliable data foundations for AI systems. High ownership, clear communication and a willingness to work directly with technical customers. Experience with geospatial data, graph data, time series data, scientific computing, energy data or other complex engineering datasets would be valuable, but is not required.
21/07/2026
Full time
About Squid AI and data centres are booming, electrification is accelerating, and trillions in generation, storage, and connection projects are queued - but the real bottleneck is the grid. Grid planning and operations are becoming a national-scale systems problem: complex network models, messy legacy data, strict governance, overloaded teams, and high-stakes decisions that affect real infrastructure. Squid is building the agentic modelling platform for power grids: a versioned, auditable source of truth where network models, data, changes, assumptions, and decisions can be tracked - and where humans and AI agents can safely work together. We unify legacy planning models, operational data, and grid workflows into software that helps teams run checks, compare models, explain changes, validate assumptions, and move faster without losing engineering rigour. Based in London, Squid is backed by premier investors like Y Combinator and partners with industry leaders including National Grid and Northern Powergrid. 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 the 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 (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. Qualifications You do not need to meet every requirement. We are looking for strong data engineers who enjoy making difficult, messy datasets reliable and usable. Professional experience building and maintaining production data pipelines. Strong Python and SQL skills, with experience working with Postgres or similar databases. Experience designing data models, schemas and transformation layers for complex datasets. Experience with directed acyclic graph-based orchestration tools such as Airflow, Dagster, Prefect or similar systems. Familiarity with data warehouses, object storage, queues, APIs and cloud infrastructure. Experience with data quality testing, lineage, observability, versioning or change data capture. The ability to work with incomplete, inconsistent or poorly documented source data. Strong software engineering fundamentals, including testing, code review and maintainable system design. An interest in applied AI, data evaluation and building reliable data foundations for AI systems. High ownership, clear communication and a willingness to work directly with technical customers. Experience with geospatial data, graph data, time series data, scientific computing, energy data or other complex engineering datasets would be valuable, but is not required.
Squid is hiring a Software Engineer to join as one of the first engineers in London, working with founders to build production software for grid operators. The role spans backend, frontend, data-heavy workflows, cloud infrastructure and applied AI, with high ownership over product and architecture. You will collaborate with customers, shape the product and engineering culture, and help ship software using modern AI tools in a growing company based in central London.
20/07/2026
Full time
Squid is hiring a Software Engineer to join as one of the first engineers in London, working with founders to build production software for grid operators. The role spans backend, frontend, data-heavy workflows, cloud infrastructure and applied AI, with high ownership over product and architecture. You will collaborate with customers, shape the product and engineering culture, and help ship software using modern AI tools in a growing company based in central London.
Pay Range: £75k-£200k (salary + equity), based in London, UK. We are hiring a Software Engineer to join Squid as one of our first engineers. You will work closely with the founders and early engineering team to build production software for grid operators. This is a broad software engineering role spanning backend systems, frontend products, data-intensive applications, cloud infrastructure and applied AI. You will help turn complex engineering workflows into reliable, intuitive software used by planners, operators and engineers. This is a high-ownership role based in our central London office, with the opportunity to shape the product, technical architecture and engineering culture from an early stage. Responsibilities Build and ship production software across backend services, frontend applications and cloud infrastructure. Design APIs, data models and product interfaces for complex, data-heavy workflows. Develop tools for loading, validating, comparing, visualising and explaining technical datasets. Build reliable systems for versioning, collaboration, approvals and auditability. Integrate AI models and agents into practical, human-in-the-loop product workflows. Create benchmarks and evaluation tools for testing AI systems on real customer tasks. Improve system performance, reliability, security and developer experience. Work directly with customers to understand problems, test solutions and improve the product. Use modern AI development tools to prototype, test and ship software quickly. Qualifications You do not need to meet every requirement. We are looking for strong, product-minded software engineers who are comfortable working across a broad technical surface area. You may be a strong fit if you have: Professional software engineering experience building and maintaining production systems. Experience with Python, TypeScript, React, Postgres, APIs, cloud infrastructure or data pipelines. Experience with Columnar storage, Relational DB's, Object stores. Experience working across multiple parts of a software stack rather than within one narrow specialism. Strong product judgement and the ability to turn unclear, real-world problems into practical software. Experience designing reliable systems for complex or data-intensive workflows. An interest in applied AI, model evaluation, agent systems and AI-assisted software development. The ability to communicate clearly and work directly with technical customers. High ownership, curiosity and a willingness to learn quickly. Experience with developer tools, data visualisation, geospatial products, collaborative software, workflow engines, technical computing or regulated industries would be valuable, but is not required. About Squid AI and data centres are booming, electrification is accelerating, and trillions in generation, storage, and connection projects are queued - but the real bottleneck is the grid. Grid planning and operations are becoming a national-scale systems problem: complex network models, messy legacy data, strict governance, overloaded teams, and high-stakes decisions that affect real infrastructure. Squid is building the agentic modelling platform for power grids: a versioned, auditable source of truth where network models, data, changes, assumptions, and decisions can be tracked - and where humans and AI agents can safely work together. We unify legacy planning models, operational data, and grid workflows into software that helps teams run checks, compare models, explain changes, validate assumptions, and move faster without losing engineering rigour. Based in London, Squid is backed by premier investors like Y Combinator and partners with industry leaders including National Grid and Northern Powergrid.
20/07/2026
Full time
Pay Range: £75k-£200k (salary + equity), based in London, UK. We are hiring a Software Engineer to join Squid as one of our first engineers. You will work closely with the founders and early engineering team to build production software for grid operators. This is a broad software engineering role spanning backend systems, frontend products, data-intensive applications, cloud infrastructure and applied AI. You will help turn complex engineering workflows into reliable, intuitive software used by planners, operators and engineers. This is a high-ownership role based in our central London office, with the opportunity to shape the product, technical architecture and engineering culture from an early stage. Responsibilities Build and ship production software across backend services, frontend applications and cloud infrastructure. Design APIs, data models and product interfaces for complex, data-heavy workflows. Develop tools for loading, validating, comparing, visualising and explaining technical datasets. Build reliable systems for versioning, collaboration, approvals and auditability. Integrate AI models and agents into practical, human-in-the-loop product workflows. Create benchmarks and evaluation tools for testing AI systems on real customer tasks. Improve system performance, reliability, security and developer experience. Work directly with customers to understand problems, test solutions and improve the product. Use modern AI development tools to prototype, test and ship software quickly. Qualifications You do not need to meet every requirement. We are looking for strong, product-minded software engineers who are comfortable working across a broad technical surface area. You may be a strong fit if you have: Professional software engineering experience building and maintaining production systems. Experience with Python, TypeScript, React, Postgres, APIs, cloud infrastructure or data pipelines. Experience with Columnar storage, Relational DB's, Object stores. Experience working across multiple parts of a software stack rather than within one narrow specialism. Strong product judgement and the ability to turn unclear, real-world problems into practical software. Experience designing reliable systems for complex or data-intensive workflows. An interest in applied AI, model evaluation, agent systems and AI-assisted software development. The ability to communicate clearly and work directly with technical customers. High ownership, curiosity and a willingness to learn quickly. Experience with developer tools, data visualisation, geospatial products, collaborative software, workflow engines, technical computing or regulated industries would be valuable, but is not required. About Squid AI and data centres are booming, electrification is accelerating, and trillions in generation, storage, and connection projects are queued - but the real bottleneck is the grid. Grid planning and operations are becoming a national-scale systems problem: complex network models, messy legacy data, strict governance, overloaded teams, and high-stakes decisions that affect real infrastructure. Squid is building the agentic modelling platform for power grids: a versioned, auditable source of truth where network models, data, changes, assumptions, and decisions can be tracked - and where humans and AI agents can safely work together. We unify legacy planning models, operational data, and grid workflows into software that helps teams run checks, compare models, explain changes, validate assumptions, and move faster without losing engineering rigour. Based in London, Squid is backed by premier investors like Y Combinator and partners with industry leaders including National Grid and Northern Powergrid.