We are Tibber, the energy company that wants you to use less energy. Crazy, right? We are by definition an energy company, but we’re more techy than most. How and why you might ask? Well, a third of our employees are actually working on developing products and solutions that can help you use fossil-free energy in a smarter way, or even better: less energy. Our main goal is to empower people to reduce the amount of energy being used all around the globe. Good for our customers, their wallets, and the planet.

Our growth rate has been quite stunning, and still, we’re just getting started. With hundreds of thousands of smart devices connected to the Tibber platform (like electric vehicles and smart thermostats), we have one of the most unique portfolios for trading energy and offering flexible services to the grid.

Job Mission🚀🚀

You will report to our Data Director and be part of our data platform team consisting of Analytics Engineers and Data Engineers with the mission to enable Analysts and Data Scientists to work more efficiently with data and analytics by providing high-quality data, tooling, and frameworks.

The larger data area consists of Data Scientists and Data Analysts working in a hybrid embedded/centralized model. They span across the entire company, working on a range of different analytical use cases.

In your role as Analytics Engineer, you will act as an important bridge between Data Engineers, Data Scientists, and Analysts to facilitate getting user-friendly data out in the company. Ensuring that they have the tools and support needed to drive change through insights into the company.

Some of your responsibilities will include:

Data modeling. Design and develop our business central data models and guide, encourage, and educate stakeholders on how to use these.

Support. Collaborate with and support analysts and data scientists in designing, building, and optimizing their data models.

Development experience. Own and maintain the development experience for analytics through setting best practices and building CI/CD pipelines.

Data quality and documentation. Implement and inspire how to use suggested frameworks for data testing, quality assurance, and documentation.

⚡⚡️Ideal Profile

Ideally, we would like to see the following:

Relevant work experience. We expect you to have 3+ years of experience working in a Data Analyst/Data Engineer/Analytics Engineering type of position. The actual title matters less than the contents of your role.

Technical expertise. You’ve spent at least 2-3 years writing SQL independently and with high quality. This will be your bread and butter in this role. Additionally, at least a couple of years using dbt or a similar tool.

Data modeling know-how. You’ve delved into the world of data modeling, having at least 1-2 years hands on experience working specifically with dimensional modeling.

Technical and business literacy. You feel comfortable bridging the gap between Data Engineers and Analysts and you’re fluent in translating business needs into technical terms.

Coaching abilities. You’re excited about and have prior experience in coaching Analysts in using the data model and optimising their models.

Proactive and business-minded mindset. Cares about making an impact, rolling up your sleeves, and leaning forward on projects.

A team player: yes, every ad says this but we need you to truly believe our team is more important than an individual. There is no room for big egos.

Bonus if you have (but not essential):

• Working knowledge of Pyspark and Python
• Having been part of a scale-up company
• Being familiar with our tech stack (Databricks, Thoughtspot, AWS)
• Infrastructure as code (we use terraform)

In general, if you feel like you’re a good fit for this role but you don’t tick all these boxes to 100% – please feel free to apply anyway! We appreciate the knowledge and that experience can come in many different forms.

🦹🏽‍♀️👨‍🎤Get Ready For

Innovation. A way to change the landscape of one of the most important industries on the planet.

Growth. A possibility to learn a lot and push the barriers of what you think is possible, with the opportunity to grow personally and professionally.

Autonomy. An autonomous and humble culture in a scale-up adventure.

Empowerment. Your voice matters we are a place to work where laughter and support amongst diverse and inclusive colleagues are guaranteed.

Flexible benefits. Whether this is towards health, working hours and/or location, wellness, equipment, or other allowances important to you, we will do our best to accommodate your needs.

💆🏻‍♀️💆🏽‍♂️The Tibber Mindset

Being on a mission to change an industry as we do fundamentally also means being prepared for the unexpected. Tibber is a startup in the true sense of the word which means we are on a journey of constant change. We do what others say can’t be done, try and fail together but never lose sight of our users.

We work passionately with sustainability and a circular approach, both with our products and in the entire ecosystem that is affected by everything we do.

We're very proud of being a mission-driven startup with thousands and thousands of new users every month. Starting with two passionate founders in 2016, we're now 300+ people working for Tibber in our offices in Stockholm, Førde, Berlin, Amsterdam, Oslo, and Helsinki, and with that number growing each week, we’re still just getting started. Throughout 2024 we will continue to expand within our markets, and we are thrilled to be backed by investors like Balderton Capital, Eight Roads Ventures, Founders Fund, Summa, and Schibsted.

At Tibber, we are committed to hiring, developing, and retaining exceptional people regardless of race, colour, religion, sex, sexual orientation, age, marital status, disability, neurodiversity, or gender identity. We strongly encourage people from underrepresented groups to apply.

Team

Engineering

Role

Data

Locations

Stockholm

Remote status

Hybrid

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