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Senior Data Engineer builds ELT/ETL pipelines and reporting solutions on Azure, leveraging AI-driven data platforms for analytics.
Senior Data Engineer builds and maintains cloud-based ETL/ELT pipelines on AWS and GCP, ensuring clean, structured data for analytics and AI tools at a media company.
Senior Data Engineer builds scalable data pipelines and architectures (Snowflake, Databricks, dbt) to help clients turn data into AI-driven business value.
Build and maintain data pipelines for product information systems, integrating and governing data for e-commerce platforms using cloud tools like Azure and AWS.
Migrate legacy Epic Clarity (Oracle) healthcare data to Google BigQuery, designing ETL pipelines and resolving schema/data-type incompatibilities.
Builds and maintains cloud data pipelines using Python, Golang, and ETL/ELT processes on AWS and Snowflake, ensuring scalable, reliable data architectures.
Build and optimize scalable ELT/ETL pipelines and data workflows in Snowflake and Oracle, using Python, SQL, and CI/CD to support capital and credit data foundations for banking compliance.
Lead a data engineering team to design and maintain scalable ETL/ELT pipelines and data platform architecture for analytics at Veikkaus Oy.
Build and maintain ETL/ELT pipelines and data platforms for Finland’s largest gaming company, using SQL, GCP, Kafka, and NiFi to turn gaming and e-commerce data into analytics-ready assets.
Lead a team of data engineers to build and maintain ETL/ELT pipelines and data platforms for Finland’s largest gaming operator, using SQL, GCP, Kafka, NiFi, and DBT.
Senior Data Engineer builds and maintains cloud data pipelines on AWS Redshift and GCP BigQuery using dbt, Airflow/Dagster, and Python/SQL to power Alma’s B2B data products.
Leads scalable ELT/ETL pipelines and data platforms in Snowflake/Oracle, ensuring data quality and governance while collaborating with engineers and product teams.
Design and build cloud-based data pipelines and platforms for clients, using Snowflake/Databricks/BigQuery and orchestration tools like Airflow/dbt to enable AI and analytics.
Build and maintain ETL/ELT pipelines and data platforms using SQL, GCP, Kafka, NiFi, and DBT to support analytics and operational systems for a gaming company.
Build and maintain scalable data pipelines, models, and platforms using cloud tools (Azure/GCP/AWS), Snowflake, dbt, and Databricks to help clients turn data into business value.
Build and maintain ETL/ELT pipelines and cloud data solutions using AWS, Snowflake, Python, and Go; integrate messaging and CI/CD tooling.
Design and maintain scalable ELT/ETL pipelines, optimize PLSQL queries, and automate data workflows in Snowflake & Oracle for a Nordic bank’s credit and capital data foundation.
Designs and builds scalable ELT/ETL pipelines and optimizes hybrid data workflows for a Nordic bank’s Capital and Credit Data Foundation.
Build and maintain data pipelines and AI-driven analytics on Arla’s Azure Databricks lakehouse to deliver insights that guide business decisions using PySpark, SQL, and Terraform.
Build and maintain modern data platforms in Microsoft Azure and Fabric, design scalable pipelines, and optimize SQL/Python-based solutions for Danish enterprises.
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