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Bannerflow

Data Platform Engineer

Bannerflow

Data Platform Engineer building scalable data pipelines for analytics and AI-driven features at Bannerflow. Join a fast-growing global SaaS company focused on creative intelligence and data innovation.

Posted 5/30/2026full-timeStockholm • 🇸🇪 SwedenMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowAWSAzureBigQueryCloudPostgres

About the role

Key responsibilities & impact
  • Design and build scalable data pipelines for analytics and AI-driven features
  • Build on our existing lakehouse foundations to shape the architecture's next stage, balancing performance, flexibility, and cost
  • Ensure high data quality and reliability, implementing best practices in data modelling, governance and observability
  • Collaborate closely with our Data Analysts, Chief Architect, Engineers, and Product teams to create data-driven features and insights
  • Evaluate and implement new technologies to ensure a modern, scalable, and future-proof data stack

Requirements

What you’ll need
  • 5+ years of experience as a Data Engineer/Data Platform Engineer/Data Lead, working with large-scale data processing
  • Strong knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure, or AWS)
  • Experience working with data lake and lakehouse technologies (cloud storage solutions, Iceberg tables, Delta Lake, etc.)
  • Experience working with workflow orchestration platforms such as Prefect, Dagster, or Airflow, including designing, implementing, and operating data workflows in production environments
  • Experience with PostgreSQL, including data modeling, query optimization, and building reliable data movement patterns between operational and analytical systems
  • Experience with designing scalable architectures and pipelines that support large datasets efficiently
  • Passion for AI/ML-driven data features and enabling advanced analytics
  • Problem-solver mindset, you love optimizing performance and building robust systems
  • Curiosity & ownership – you thrive in an environment where you can experiment and improve.

Benefits

Comp & perks
  • Pension according to ITP1
  • Health allowance
  • Parental leave top-up
  • Health care insurance

ATS Keywords

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Hard Skills & Tools
data engineeringdata processingdata modelingquery optimizationworkflow orchestrationcloud data platformslakehouse technologiesscalable architecturesdata pipelinesAI/ML-driven features
Soft Skills
problem-solvingcuriosityownershipcollaborationcommunication