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Build and implement data solutions that optimize pharmaceutical production by integrating IT/OT systems like PLCs, HMIs, and industrial networks into Lundbeck’s Aspentech Inmation platform.
Lead a team of data engineers building and maintaining data pipelines for Open Intelligence, focusing on adtech/martech data connectors using Python, SQL, and Scala in cloud environments like GCP/AWS.
Design and operate scalable AWS-based data pipelines and platforms to power analytics and AI products, using Python, Scala, Spark, and Flink.
Builds and maintains financial-data pipelines for debt collection analytics using SQL and Informatica, working closely with public-sector partners.
Leads a data engineering team building open intelligence pipelines with SQL, Python/Scala, and modern data tools while mentoring engineers and collaborating with product teams.
Senior Data Engineer builds and maintains data pipelines and tools to enable data-driven audiological development at a global hearing-aid company, using Python, SQL, Spark, and Databricks.
Build and maintain Azure-based data pipelines for renewable energy assets, enabling analytics and reporting for wind and solar projects.
Designs and maintains data warehouses, builds PowerBI dashboards, and models large datasets using SQL and Informatica for a Danish government agency.
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.
Lead data engineering efforts to build and migrate a Databricks-based data lake and ML pipelines for an automotive client, using PySpark, Python, and CI/CD.
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.
Senior Data Engineer builds and maintains cloud data pipelines for digital marketing solutions using Spark, Python, SQL, and cloud infrastructure.
Build and maintain cloud data pipelines and analytics solutions using Python, SQL, and cloud platforms to turn large datasets into business insights.
Build and maintain scalable data pipelines and infrastructure using Azure and Databricks to support advanced analytics and machine learning for global healthcare diagnostics.
Designs, builds, and maintains data pipelines and ETL flows for life-sciences clients using Python and databases, while collaborating with cross-functional teams to deliver data-driven solutions.
Build and own Turf Tank’s IoT data platform from scratch, designing scalable pipelines to process telemetry from thousands of autonomous robots and deliver actionable metrics to operations.
Design and build scalable data pipelines and AI-driven solutions using Python, SQL, and cloud platforms like Azure and AWS.
Design and maintain scalable data pipelines to support AI applications, collaborating with cross-functional teams on cutting-edge solutions.
Build and model data pipelines for AI agents using Weld’s API and MCP, onboarding customers and designing warehouse setups for agentic workflows.
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