Data Engineer: Low-Latency Pipelines for Trading (Hybrid)

Flower; Stockholms kommun; Hybrid; SEK 502,200 - 725,400; Full time

Job summary

Flower is seeking a Data Engineer to design and operate data pipelines that ensure high-performance trading algorithms within a dynamic energy landscape. This position requires 4+ years of experience in building robust data systems primarily using Python and SQL. You’ll interact with a talented team to drive technical excellence and contribute to the company’s growth.

Located in Södermalm, Stockholm, this full-time role supports a hybrid work model encouraging in-office collaboration.

Qualifications

• 4+ years of experience designing and operating production-grade data systems.
• Strong programming skills in Python and SQL.
• Experience in cloud-native solutions with an emphasis on scalability and reliability.

Responsibilities

• Design and operate robust, low-latency data pipelines for trading algorithms.
• Develop and maintain data models, analytical dashboards, and monitoring frameworks.
• Automate data quality checks and alerting systems.

Skills

Python

SQL

Data Pipeline Engineering

Cloud-Native Solutions

Infrastructure as Code (Terraform, CloudFormation)

Analytical Dashboards

Job description

Flower is seeking a Data Engineer to design and operate data pipelines that ensure high-performance trading algorithms within a dynamic energy landscape. This position requires 4+ years of experience in building robust data systems primarily using Python and SQL. You’ll interact with a talented team to drive technical excellence and contribute to the company’s growth.

Located in Södermalm, Stockholm, this full-time role supports a hybrid work model encouraging in-office collaboration.