Data Engineer - Platform
Data Engineer - Platform
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Job Description
What We Do
Swiftly gaining ground as Swedens industry leader in battery storage and expanding rapidly in selected European markets Flower is on a mission to enable the energy system of tomorrow.
With an industryleading AIpowered platform at its core our service includes stabilizing the energy system by enhancing predictability and flexibility for both energy producers and consumers. By combining pioneering technology with a portfolio of flexible energy assets we break new ground towards a fossilfree energy system allowing clean energy to power society.
Who We Are
Tech company at heart purpose in our DNA. Flower consists of a diverse group of innovative individuals with a strong desire to improve the state of the world.
At Flower we believe trust collaboration and diversity are essential to not only create an inclusive work environment but also drive career growth. By embracing varying perspectives we allow creativity and progress to flourish.
To accelerate towards our goal of becoming the pioneering force powering the energy system of tomorrow we are now looking for a passionate and skilled Data Engineer.
About The Role:
As a Data Engineer on the central Engineering squad you will build and maintain the data infrastructure that powers our analytics data science and product teams. Youll design develop and optimize scalable pipelines and platforms driving architectural decisions and best practices. Youll ensure our systems are robust highperformance and secure. This handson role directly enables the company to turn data into strategic insights and operational efficiency.
What Youll Do:
- Architect and implement endtoend data pipelines using SQL Python on tools like Databricks and dbt to ingest transform and serve data.
- Leverage IaC to define provision and continuously improve CI/CD pipelines ensuring infrastructureascode best practices and reliable reproducible deployments
- Identify performance bottlenecks tune queries and automate repetitive workflows to ensure reliability and efficiency at scale
- Collaborate with data scientists analysts and engineers to understand requirements iterate on solutions and deliver highquality productiongrade data assets/systems.
- Develop monitoring and alerting around data jobs ownership of SLAs and troubleshooting of platform issues.
- Stay current with industry trends and emerging technologies; pilot new tools and frameworks to continuously elevate our data platform capabilities.
Who You Are:
- Proficient in Python and SQL with handson production experience developing clean welltested and maintainable code.
- Experience with IaC and CI/CD methodologies with a proven background designing deploying and optimizing automated delivery workflows.
- Curious and selfdriven being eager to deepdive into Databricks dbt and other cuttingedge data engineering tools to solve complex challenges.
- Quickly adapts to new environments frameworks and business domains; able to ramp up independently and contribute from day one.
- Meticulous in your work with a keen eye for data quality correctness and edgecases; you take pride in delivering bulletproof solutions that scale.
- Great team player and communicator ready to share knowledge solicit feedback and collaborate effectively within a diverse agile team.
Location
Our beautiful office is located in the heart of Sdermalm just a short walk from Slussen subway station. We encourage inoffice collaboration but support a hybrid work model.
Apply
Our corporate language is English as we have over 20 nationalities in the office. We therefore appreciate it if you could submit your CV in English.
Throughout the recruitment process you will meet with the People & Talent Partner Data Lead COO and CEO.
We look forward to hearing from you!
We kindly but firmly decline any engagement in recruitment assistance for our hiring processes. This includes partnership offers or the sale of recruitment tools.
Employment Type
Full Time
