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Engineering Lead - Analytics Platform

Оценка ИИ

Отличная вакансия в компании-лидере рынка с сильной инженерной культурой и социально значимой миссией. Гибкость в вопросах зарплаты и высокие рейтинги работодателя делают это предложение крайне привлекательным для топ-менеджмента в данных.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует редкого сочетания глубоких технических навыков (Python, dbt, Kubernetes) и управленческого опыта. Высокая планка ответственности за глобальную стратегию данных в быстрорастущей компании делает позицию сложной, но перспективной.

Анализ зарплаты

Медиана110 000 £
Рынок95 000 £ – 140 000 £
Оценка ИИ

Компания не указывает зарплату в описании, предпочитая обсуждать её индивидуально. Однако для позиции Engineering Lead в Лондоне в секторе Energy/Tech рыночные показатели обычно находятся в диапазоне £90,000 - £130,000 в год плюс бонусы и опционы.

Сопроводительное письмо

I am writing to express my strong interest in the Engineering Lead - Analytics Platform position at Octopus Energy. With a solid foundation in software engineering and extensive experience in the analytics development lifecycle, I am excited by the prospect of leading a team that directly contributes to the global transition toward Net Zero. My background in building scalable data products using Python, dbt, and Databricks aligns perfectly with your current tech stack and ambitious goals for global data strategy.

Throughout my career, I have focused on bridging the gap between technical innovation and business value. I have a proven track record of fostering collaborative communities among analytics engineers and implementing robust CI/CD and observability practices. I am particularly impressed by Octopus Energy's commitment to autonomy and its unique culture, and I am eager to bring my expertise in managing multi-skilled teams and modern BI platforms like Lightdash to help drive the next iteration of your analytics platform.

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Описание вакансии

Over the past ten years, Octopus Energy Group has expanded from a UK startup to become the UK's largest energy provider and a global leader, serving over 10 million customers across 8 countries.

We’re starting up a new Analytics Platform team to drive the data strategy across our global business.

About the role

At Octopus we’ve developed data & analytics platforms to power our businesses around the world. We embed automation across all our data workflows – from ELT, to machine learning, to natural language query for thousands of data-hungry users. This supports work across the whole energy domain, from measuring performance of our green energy generation assets to processing trillions of device readings for innovative smart tariffs.

We’re looking for an analytics engineering leader to own the next iteration of our platform and drive its adoption globally. You and your team will be responsible for technical innovation, setting standards, and enabling users who generate insight from data.

The role requires someone who can pair deep technical expertise with a product mindset, and help our Analytics Engineering teams deploy data products that scale.

This is a fantastic opportunity to work on data, analytics and AI problems that genuinely move us closer to Net Zero with a company that is passionate about building great technology to change the way customers use energy.

What You'll Do...

  • Build & maintain awesome tooling for data transformation, visualisation, and AI – combining the best of open source, SaaS, and in-house tech
  • Establish a data architecture that enables easy discovery, cross-team working, and global reuse of data products – for technical and non-technical users
  • Partner with data teams to scope & prioritise opportunities, and deliver solutions that have measurable business impact
  • Foster a growing community of Analytics Engineers with training, documentation and collaboration
  • Manage a multi-skilled team of 3 - 5 engineers, supporting their development and happiness

What You'll Have...

  • Passion for being at the cutting edge of analytics engineering – dbt is just the start!
  • Breadth and depth of experience in the Analytics development lifecycle
  • Extensive knowledge of Python and Git, with solid software engineering foundations e.g. testing, CI/CD, and observability
  • Ability to work with a range of technical & non-technical stakeholders, managing competing needs and prioritising value
  • Autonomy and pragmatism, as projects will be varied and self-driven

Bonus point if you have experience in:

  • Leading small teams
  • Looking after BI platforms like Lightdash, Looker, Omni or Metabase
  • Managing software vendors

Our Data Platform Stack...

  • We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies:
  • Python, SQL and dbt
  • Lightdash as our BI tool & semantic layer
  • Streamlit for interactive data applications
  • Databricks data platform with Delta Lake
  • Airflow for orchestration
  • Kubernetes for application deployment
  • CI/CD with GitHub and CircleCI
  • Infrastructure on AWS, deployed with Terraform / Spacelift

💚 Why else you'll love it here 💚

💰 Wondering what the salary for this role is?Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!

• 🎉 Octopus Energy Group is a unique culture. An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recordeda podcast about our culture and how we empower our people. We’ve also been placed in thetop 10 companies for senior leadership

• 🎁 Visit our UK perks hub - Octopus Employee Benefits

If this sounds like you then we'd love to hear from you. 🚀

P.S. Our process usually takes up to 4 weeks, but we’ll always do our best to flex around what works for you. Along the way, you’ll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at talent@octoenergy.com and we’d love to help!

Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic!

Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone.

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Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Python
  • SQL
  • dbt
  • Databricks
  • Delta Lake
  • Airflow
  • Kubernetes
  • AWS
  • Terraform
  • GitHub
  • CircleCI
  • Lightdash
  • Streamlit
  • Git
  • CI/CD

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Расскажите о случае, когда вы помогали члену вашей команды вырасти из технического специалиста в лидера или эксперта. Какие методы наставничества вы использовали?

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Почему, на ваш взгляд, dbt стал стандартом в индустрии, и какие ограничения этого инструмента вы видите при масштабировании на глобальный уровень?

Проверка навыков проектирования сложных систем.

Как бы вы спроектировали архитектуру данных, которая обеспечивает одновременно и свободу самообслуживания (self-service) для бизнес-пользователей, и строгий контроль качества данных?

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Как вы подходите к разрешению конфликтов приоритизации, когда несколько глобальных команд одновременно требуют доработки платформы под свои нужды?

Проверка инженерной культуры и отношения к качеству кода в данных.

Какие практики из классической программной инженерии (Software Engineering) вы считаете наиболее критичными для внедрения в процесс аналитической разработки и почему?

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octoenergy
Страна
Великобритания