Analytics Engineer

Axle Careers · Londonmid

En corto

▸Ingeniero de análisis que gestiona operaciones energéticas críticas en Reino Unido
▸Trabaja en el 'control room' de Axle, optimizando trading, activos y pagos en mercados de flexibilidad
▸Destacado: impacto directo en la transición energética con datos reales de gigawatt-horas

No se requiere inglés, pero se valorará capacidad para comunicar en inglés con equipos int

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

¿Qué piden?

✓Experiencia sólida con SQL y Python para análisis, automatización y resolución de problemas
✓Capacidad analítica para trabajar con métricas técnicas (MW, kWh, £) diariamente
✓Habilidad para operar en entornos rápidos y ambiguos
✓Compromiso con la lucha contra el cambio climático
✓Habilidades de comunicación clara para equipos técnicos y comerciales
✓Capacidad para construir relaciones con DSOs y reguladores del mercado energético

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

SQLPythonEnergy tradingFlexibility markets (UK)Asset managementSettlementsData pipelinesOperational processesStakeholder collaborationReal-time data

¿A quién escribirle en Axle Careers?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

About Us At Axle Energy, we’re building the infrastructure that will underpin the decarbonised energy system. Our software moves energy usage to times when electricity is cheap and green, by controlling vehicle charging, heating systems, and home batteries. We control hundreds of thousands of energy assets. We’re building in a legacy industry and moving gigawatt-hours of electrons in the real world, but we operate at lightning speed, and we’re growing the team to meet customer demand. We’re proud to be supported by world-leading investors, including Energize Capital and Accel. Read more about what we’re building here . About the role Axle has quickly become the leader in our operational markets, and we are looking for someone to help run and optimise the rhythms at the heart of the business. We are looking for someone to develop a deep understanding of flexibility markets across the UK, who can collaborate cross-functionally, crunch numbers, and own critical daily and monthly operational processes. Owning daily operations means sitting at the heart of the ‘Axle control room’. This involves running and optimising the most critical operations processes in the business: asset management, trading across UK flexibility markets, and ultimately ensuring our clients and end customers get paid for the flex they deliver. A note on the job title: Analytics engineering is often closely associated with dbt. We don't use dbt at Axle because our data set up doesn't require a full ETL framework. Instead, this role is centred on the core analytics engineering skill set: developing a deep understanding of source data and building the data pipelines that power our analytics. g. Benefits A meaningful slice of equity in Axle, alongside a competitive salary, with total compensation ranging from £75k–£200k (base salary + equity). We operate with a deliberately flat structure and aim to keep pay equitable across the company, with a 1:1 median ratio between founder and team compensation. Enhanced parental leave to support you through life's meaningful moments. Bi-annual retreats to strengthen team connection & shared purpose. Hybrid working - We have a dog-friendly office around Farringdon. To maximize collaboration, we ask that you spend 2-3 days a week in the office. The opportunity to directly shape the future of energy markets and accelerate the transition to a low-carbon world. We are extremely keen to build a diverse company, and we’re particularly eager to hear from candidates who don't fit the traditional role stereotypes. If you’re motivated by our mission, please do reach out, even if you feel you might not ‘check all the boxes’. Interview process Initial interview Take-home exercise Final interview (in-person) Offer, references, and welcome to the team!

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