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 industry-leading AI-powered 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 fossil-free 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 Platform.
About The Role
As a Data Engineer on the Platform squad you will take ownership of the infrastructure that powers our entire data ecosystem. This isnt just about moving data from A to B; its about building a scalable self-service platform that enables our Data Scientists and Product teams to ship at pace. You will work in the intersection of software engineering and data ensuring our systems are robust observable and high-performance.
What Youll Do
Develop and maintain our core data platform (Data Lakehouse orchestration and observability) using Databricks dbt and Python.
Implement CI/CD pipelines for data systems and leverage Infrastructure as Code (Terraform) to ensure reliable reproducible deployments.
Identify bottlenecks optimize distributed compute (Spark) jobs and assist with cost management to keep our platform lean and fast.
Partner with product teams to design ingestion frameworks and declarative configurations that allow others to scale their own data needs.
Ensure data quality lineage and security standards are embedded into every workflow not treated as an afterthought.
Who You Are
23 years of professional experience in Data Engineering with a strong grasp of cloud-based data platforms (Databricks Snowflake BigQuery or similar).
Proficient in Python and SQL with an understanding of distributed systems and a passion for writing clean well-tested code.
Hands-on experience with Infrastructure as Code (Terraform CloudFormation) and modern orchestration (Airflow Dagster or similar).
Meticulous in your work with a keen eye for data quality correctness and edge-cases; you take pride in delivering bullet-proof 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 Södermalm just a short walk from Slussen subway station. We encourage in-office 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 Talent Partner Head of Platform the Team and VP of Engineering.
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.
What We DoSwiftly 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 industry-leading AI-powered platform at its core our service includes stabilizing the energy syste...
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 industry-leading AI-powered 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 fossil-free 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 Platform.
About The Role
As a Data Engineer on the Platform squad you will take ownership of the infrastructure that powers our entire data ecosystem. This isnt just about moving data from A to B; its about building a scalable self-service platform that enables our Data Scientists and Product teams to ship at pace. You will work in the intersection of software engineering and data ensuring our systems are robust observable and high-performance.
What Youll Do
Develop and maintain our core data platform (Data Lakehouse orchestration and observability) using Databricks dbt and Python.
Implement CI/CD pipelines for data systems and leverage Infrastructure as Code (Terraform) to ensure reliable reproducible deployments.
Identify bottlenecks optimize distributed compute (Spark) jobs and assist with cost management to keep our platform lean and fast.
Partner with product teams to design ingestion frameworks and declarative configurations that allow others to scale their own data needs.
Ensure data quality lineage and security standards are embedded into every workflow not treated as an afterthought.
Who You Are
23 years of professional experience in Data Engineering with a strong grasp of cloud-based data platforms (Databricks Snowflake BigQuery or similar).
Proficient in Python and SQL with an understanding of distributed systems and a passion for writing clean well-tested code.
Hands-on experience with Infrastructure as Code (Terraform CloudFormation) and modern orchestration (Airflow Dagster or similar).
Meticulous in your work with a keen eye for data quality correctness and edge-cases; you take pride in delivering bullet-proof 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 Södermalm just a short walk from Slussen subway station. We encourage in-office 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 Talent Partner Head of Platform the Team and VP of Engineering.
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.
View more
View less