Senior Data Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer based in Sweden.

As a Senior Data Engineer, you will own the complete data lifecycle, from ingestion and infrastructure to modeling, analytics, and business insights. Working in a fully remote, high-growth environment, you will design scalable data platforms that support strategic decision-making across product, finance, and growth teams. This role offers the opportunity to build resilient, production-grade data systems while leveraging modern cloud technologies and AI-powered development tools. You will collaborate closely with cross-functional stakeholders, solve complex data challenges at scale, and play a critical role in shaping a data-driven organization. If you enjoy end-to-end ownership, continuous innovation, and building systems that can grow alongside the business, this is an excellent opportunity to make a lasting impact.

• Design, build, and maintain scalable data pipelines from source systems through data warehouses and analytics platforms.
• Develop and optimize data ingestion workflows using cloud-native technologies, orchestration tools, and Python-based data loaders.
• Create and maintain reliable data models that enable accurate reporting, business intelligence, and self-service analytics.
• Deliver actionable analyses that explain business performance and support strategic decision-making.
• Build data infrastructure with scalability, reliability, performance, and cost optimization as core design principles.
• Manage infrastructure as code to ensure consistent, automated deployment and maintenance of the data platform.
• Partner closely with product, finance, growth, and engineering teams to translate business questions into trusted data solutions.
• Leverage AI-powered development tools to improve engineering productivity while maintaining full ownership of production quality.
• Monitor, troubleshoot, and continuously improve data pipelines and platform performance.
• Stay current with emerging technologies and best practices in data engineering, cloud infrastructure, and artificial intelligence.

Requirements

• 5+ years of experience designing, building, and operating production-grade data pipelines and modern data platforms.
• Strong expertise with cloud data technologies such as Google Cloud Platform, BigQuery, dbt, Airflow, Dataflow, or equivalent solutions.
• Experience with infrastructure as code using tools such as Pulumi or Terraform.
• Advanced SQL skills and proficiency in Python for data engineering and automation.
• Experience working with analytics platforms and transforming complex datasets into business insights.
• Familiarity with AI-assisted development tools and an understanding of how to apply them responsibly within engineering workflows.
• Strong analytical thinking with the ability to identify root causes behind business metrics and performance changes.
• Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams.
• Comfortable working independently in a fast-paced, remote-first environment with a high level of ownership.
• Passion for scalable data engineering, continuous learning, and building reliable systems that support business growth.

Benefits

• Fully remote position with the flexibility to work from anywhere.
• Co-working space membership or allowance to support your preferred work environment.
• Equity participation through an employee stock ownership program (ESOP).
• Technology allowance to build your ideal home office setup.
• Comprehensive health insurance, including full employee coverage and substantial dependent coverage.
• Flexible, asynchronous work schedule that promotes autonomy and work-life balance.
• Annual professional development budget for courses, conferences, books, and learning resources.
• Annual company off-site events that bring together global team members for collaboration and networking.
• Opportunity to work with modern cloud technologies, large-scale data systems, and cutting-edge AI tools.
• Collaborative, international environment focused on innovation, ownership, and continuous growth.