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Build and maintain open-source data platforms using Python, SQL, Spark, and Trino; design pipelines, orchestration, and observability for batch/streaming data.
Senior Data Platform Engineer designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and performance using tools like Trino, Spark, and Kubernetes.
Design and build scalable data pipelines and models using Databricks, Microsoft Fabric, and Azure tools to deliver business insights and solutions for clients.
Build and optimize ETL pipelines and data models using Databricks, Microsoft Fabric, and Azure tools to deliver scalable data solutions for clients.
Senior role designing and advising on open-source data platforms for clients, focusing on ingestion, processing, governance, and serving layers using Python, Spark, Kafka, Kubernetes, and related tools.
Build and maintain large-scale data warehouses and pipelines for a Nordic bank’s lending business, turning business needs into robust, AI-assisted solutions with a focus on long-term reliability.
Build and maintain scalable data pipelines for machine learning systems, ensuring data quality and security while collaborating with cross-functional teams to deliver AI solutions for clients.
Lead a team of data engineers in Copenhagen, designing and implementing modern data stacks for high-profile clients using tools like dbt and Airflow.
Build and maintain scalable ELT pipelines and data infrastructure for Spirii’s EV charging platform, ensuring reliable data flow into Amazon Redshift and supporting analytics for charging events, subscriptions, and financial transactions.
Build and maintain scalable data pipelines for IoT telemetry using PySpark, Airflow, and Iceberg on AWS, ensuring high-quality data for analytics and billing in a clean-cooking fuel company.
Build and maintain scalable data pipelines using Python, SQL, Apache Spark, and Airflow in a product-focused team.
Senior Data Engineer to migrate Oracle databases to PostgreSQL, convert ODI pipelines to Azure Data Factory, and build Power BI reports for business insights.
Build and maintain data pipelines, ETL processes, and storage infrastructure to ensure reliable, scalable data flow for analytics and decision-making.
Senior Data Engineer builds and maintains cloud-based data pipelines and models for media analytics, enabling 1:1 retargeting and CRM for global brands using Spark, Python, and GCP/AWS/Azure.
Lead the design and build of a modern, scalable data platform for a biotech company using AWS and Databricks, enabling scientists and teams to access and analyze data for drug discovery.
Senior Data Engineer building and scaling a modern data platform to turn business needs into robust, high-quality data solutions and drive data-driven decisions.
Designs and builds data ingestion pipelines, transforms raw data for analysis, and optimizes cloud-based data systems using Python, SQL, and ETL tools like Apache Airflow.
Lead a data engineering team to design and build scalable data pipelines, warehouses, and integrations for marketing tech stacks using GCP, Snowflake, dbt, and Airflow.
Lead architecture and development of secure, scalable healthcare platforms integrating AI models, multi-modal databases, and real-time data pipelines for clinical insights.
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.
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