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Analytics/ML Engineer - Data Team

Aira Group AB

Sammanfattning

Join Aira's central data team as an analytics engineer, where you'll work on enhancing the customer journey through data-driven insights. Located in Stockholm, you'll help transition from traditional BI to self-service analytics, utilizing SQL, machine learning, and statistical modeling to improve products and processes. This role offers the opportunity to collaborate with diverse teams and make a tangible impact in the clean energy sector.
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Det här erbjuder vi

Hands-on experience in a fast-growing scale-up with career advancement opportunities.Collaboration with diverse teams across international markets.Personal and professional development in an entrepreneurial environment.Influence on product development and market growth.New office location in Stockholm, near public transport.

Stockholm

Ansök senast: 2027-05-04
Publicerad: 2026-11-05

Beskrivning

10% of Europe's CO₂ emissions are caused by residential heating and energy bills are out of control. Aira is here to change that.

With our intelligent Aira Heat Pump at the heart, we're making the switch to clean energy-tech easier and more affordable. Helping Europe turn off gas and slashing energy costs one home at a time.

Founded in 2022, and with 800+ employees and counting, Aira is driving the clean energy revolution by providing homes with modern clean energy-tech solutions such as solar power, battery storage solutions and heat pumps. With a state-of-the-art production facility in Poland, and HQ in Stockholm, Sweden, and hubs across the UK, Germany and Italy, Aira is well on track to install clean energy-tech into 5 million homes by 2034.

About the role:

You'll join Aira's central data team, working across the entire customer journey, from acquisition and sales to technical design, installation and live heat pump data. Our work has a direct impact on the tools and processes used across Aira.

We're moving from traditional BI towards self-service analytics, where teams can explore data and answer questions themselves. This will allow us to spend less time on ad hoc reporting and more time solving complex problems using statistics, optimisation and machine learning.

The work is varied. One day you might build data models and metrics for self-service analytics, the next you might use machine learning, statistical modelling or thermodynamics to improve how we design and sell our products.

We're looking for someone who enjoys both sides of that spectrum: strong analytics engineering and quantitative problem solving, combined with a keen business mindset.

What you'll be doing:

Build and maintain data models and metrics using SQL and dbt.

Work with Product teams to define KPIs, track performance and identify areas for improvement.

Develop the semantic layer that powers self-service analytics across Aira.

Use statistics, experimentation, optimisation and machine learning to improve our products and processes.

Use AI-assisted tools such as Claude in your day-to-day work.

What you'll bring to the role:

3+ years of experience in analytics engineering, data science, machine learning or a similar quantitative role.

Strong SQL skills and experience working with large datasets.

Experience with data transformation and dimensional data modelling.

Strong analytical and problem-solving skills, with the ability to tackle problems that don't have an obvious solution.

An interest in understanding the business and working closely with Product teams to improve how things work.

Bonus:

A strong quantitative background in mathematics, physics, engineering, statistics or a related field.

Experience developing or deploying machine learning models.

Experience with statistical modelling, experimentation or causal analysis.

Experience working with optimisation problems, physical models or time-series/telemetry data.

Familiarity with cloud data platforms such as GCP, AWS or Azure.

What you can expect:

Work close to the decisions that shape Aira's customer journey, where your insights can translate directly into changes to our products and processes.

Help move Aira from traditional BI towards self-service analytics, creating more room for advanced modelling and ML.

Work on a broad range of problems spanning analytics engineering, statistics, data science, machine learning and real-world physical systems.

Collaborate closely with Product teams and diverse teams across our international markets.

Gain hands-on experience in a fast-growing scale-up, with a supportive and inclusive culture, and career advancement opportunities.

Develop and grow personally and professionally in an entrepreneurial-minded environment.

Thrive in a dynamic, solution-oriented culture, tackling challenges and driving meaningful solutions that make a positive impact on the world.

What is in it for you?

Gain hands-on experience in a fast-growing scale-up, with a supportive and inclusive culture, and career advancement opportunities.

Collaborate with diverse teams across international markets and launch products globally.

Develop and grow personally and professionally in an entrepreneurial-minded environment.

Thrive in a dynamic, solution-oriented culture, tackling challenges and driving meaningful solutions that make a positive impact on the world.

Influence the company's success, with a visible impact on product development and market growth.

Enjoy our brand-new office at Norra Stationsgatan 93 in Stockholm. Conveniently located near public transport, with Sankt Eriksplan and Odenplan stations just a few minutes walk away.

At Aira, we champion next-generation energy as well as diversity and inclusion. We firmly believe that a diverse workforce fosters innovation and creativity, enhancing our ability to serve customers and communities effectively. We welcome individuals from all backgrounds, cultures and perspectives to join our team. Our commitment is to uphold equality and inclusivity, fostering a collaborative environment where everyone can thrive and contribute to a better future for our people and the planet.

Ansök till tjänsten

Analytics/ML Engineer - Data Team

Denna arbetsplats har annonserats på Arbetsförmedlingen-tjänsten den 2026-11-05 och publicerades av Arbetsförmedlingen.
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