Data Engineer

⚡️ What We Do

Swiftly gaining ground as Sweden’s 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 industry-leading AI software 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.

🌟The Team

We're committed to shaping tomorrow's energy system with flexible power at its core. Our ambitious team shares a common goal, working together to create a sustainable future. We are now looking for a passionate and skilled Data Engineer based in Stockholm to fulfill that goal with us.

👩‍💻 About The Role

We are looking for a passionate, self-driven and dedicated Data Engineer to join our Implementation and Operations team. As a Data Engineer, you will be responsible for designing, building, and maintaining our data pipelines and systems that power our data-driven solutions. You will also work closely with our Data Scientists from the Trading Strategy and Modeling team. Your work will contribute to the development and maintenance of an important stage in our solutions, by making sure that the data travels seamlessly from end to end in our pipelines.

Key Responsibilities

• Develop and maintain scalable, robust, and efficient data pipelines
• Build and optimize data ingestion and processing systems for structured and unstructured data
• Work with the data science team to maintain data models and build and maintain MLOps and ETL pipelines
• Implement and maintain data quality checks, validation, and monitoring
• Create and maintain CI/CD pipelines in GitHub and AWS
• Build and maintain data lake and storage solutions
• Collaborate with cross-functional teams to define data requirements and develop data-driven solutions
• Design and implement data security and privacy controls
• Create and maintain documentation of data pipelines, processes, and procedures
  
  

Qualifications

• 3+ years of experience as a Data Engineer or similar role
• Strong programming skills in Python and SQL
• Familiarity with DevOps practices such as Docker, CI/CD, git, testing
• Familiarity with cloud data services, preferably from AWS, such as Lambda
• Understanding of data modeling, data storage, and database design
• Knowledge of data security and privacy regulations and best practices
  
  

📍 Location

We value office collaboration but support some hybrid work. Our office is at Söder Mälarstrand, minutes away from Gamla Stan subway station in Stockholm.

🛒 Apply

To apply, please submit your resume and a cover letter highlighting your relevant experience and why you feel you would be a great addition to our team. In the recruitment process you will meet with the Talent Acquisition Specialist, Engineering Team, Hiring Manager and the CEO.

Our corporate language is English, as we have over 20 nationalities in the office, so we want you to submit your CV in English.

We look forward to hearing from you!