Data Engineer

TL;DR

Data Engineer (Data Science/ML): Building and maintaining scalable, robust data pipelines and ingestion frameworks in a modern cloud environment with an accent on data platform infrastructure, scalability, and cost-effectiveness. Focus on designing efficient data processing workflows, collaborating cross-functionally, and applying best practices in data engineering to support smart energy solutions.

Location: Hybrid in Stockholm, Sweden

Company

hirify.global is a forward-thinking energy tech company focused on accelerating the energy transition by empowering customers with smart data-driven solutions.

What you will do

• Build and maintain scalable, robust, and efficient data pipelines in a modern cloud environment.
• Design and develop data ingestion and processing frameworks to deliver timely and accurate data.
• Collaborate closely with cross-functional teams to create data-driven solutions.
• Own and evolve the data platform infrastructure leveraging emerging technologies.
• Stay updated on data engineering best practices to improve architecture, scalability, and governance.
• Iterate workflows based on stakeholder feedback and evolving market requirements.

Requirements

• Location: Hybrid role based in Stockholm, Sweden
• Strong experience with SQL and Python for scalable data processing.
• Several years of hands-on data engineering experience with pipelines, transformations, and data modelling.
• Familiarity with CI/CD, version control, and basic data security principles.
• A growth mindset and passion for building scalable data solutions.
• English: B2 level or higher required

Culture & Benefits

• Work in a mission-driven company accelerating the energy transition.
• Collaborative and innovative team environment.
• Offices in multiple European cities with hybrid work options.
• Focus on sustainability and circular approaches in products and ecosystem.
• Diversity and inclusion valued across all backgrounds and experiences.