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Build and maintain cloud data pipelines for a banking client, migrating legacy systems to AWS (S3, Redshift, Athena) using Python, PySpark, and AWS Glue.
Senior Data Engineer builds and maintains CDC pipelines and lakehouse architecture using Databricks, ensuring data quality and query performance while migrating legacy systems.
Build and maintain REMA 1000’s Azure/Databricks lakehouse platform, creating scalable data pipelines and models that power analytics, business decisions, and future AI initiatives across Norway.
Build and maintain data pipelines using Databricks, Azure Data Factory, and Python to support analytics and reporting for a large insurance group.
Lead a data engineering team to design and operate scalable Databricks pipelines in Python and Azure Data Factory, ensuring robust data ingestion, orchestration, and performance for an insurance group.
Lead a data engineering team to design and operate scalable Databricks pipelines on Azure, integrating SQL/NoSQL databases and optimizing performance for an insurance group.
Build and maintain REMA 1000’s Azure/Databricks lakehouse platform, designing scalable data pipelines and robust data products to power analytics and future AI initiatives across Norway’s largest grocery chain.
Builds and maintains AWS-based data pipelines and Databricks Lakehouse solutions for a banking client, using PySpark, Glue/EMR, and orchestration tools like Airflow.
Senior Data Engineer builds scalable data pipelines and products to turn raw insurance data into trusted, business-ready datasets for analytics and AI at Tryg’s new Nordic AI Hub.
Senior Data Engineer designs and operates scalable data pipelines (CDC, ETL) on AWS/Databricks, builds medallion architecture with Delta Lake, and prepares gold tables for BI while ensuring data quality and compliance with Peruvian privacy laws.
Builds scalable data pipelines and lakehouse systems to turn noisy edge sensor data into reliable measurement and forecasting for in-store Retail Media, using Spark, Kafka, Trino, and privacy-preserving architectures.
Build and optimize Databricks-based data platforms and ELT pipelines for Swiss clients, using PySpark, Delta Lake, and CI/CD, while advising on scalable data architecture.
Build and maintain Proton’s on-premise data pipelines and platform, enabling reliable, scalable analytics and reporting for privacy-focused products used by millions globally.
Design and build scalable data pipelines and platforms (Lakehouse, Data Warehouse) to feed ML models and generative-AI applications, using Python, Spark, Snowflake/Databricks, and cloud stacks (AWS/GCP/Azure).
Build and maintain scalable data pipelines for a hospital’s BI platform, integrating clinical and administrative data to support analytics and decision-making.
Builds and consults on Databricks Lakehouse data pipelines and transformations for enterprise clients.
Build and migrate an on-premise data lakehouse, then run pipelines, monitor, and advise teams on data use for BI and AI.
Build and maintain scalable data pipelines and BI solutions for clinical and operational decision-making using Python, SQL, and cloud-native data platforms.
Build and maintain data ingestion pipelines in Databricks for a MedTech company, cleaning and structuring clinical data for downstream teams.
Design and build scalable data platforms for clients, including ETL/ELT pipelines, cloud migrations, and analytics models using SQL, Python, and cloud tools like Azure/AWS.
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