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Design, develop, and scale backend services, APIs, and cloud solutions on Azure using Python to support offshore wind engineering activities.
Data Engineer building and owning the data lakehouse behind a flight optimization engine at Jeppesen ForeFlight in Odense, focusing on data quality at ingestion, training dataset creation, and scalable batch pipelines on AWS using Python and SQL.
Build and maintain an AI-native data governance platform using Unity Catalog, Confluent Schema Registry, and OpenMetadata, crafting scalable APIs and automating data access controls for a global jewellery retailer.
Lead a small, specialized team operating and developing Linux-based big data platforms for Denmark's foreign intelligence service, combining hands-on platform engineering (Terraform, Ansible, OpenSearch, SQL/NoSQL) with agile project leadership (Scrum/Kanban).
Senior Data Engineer building and evolving the data platform for an agentic maritime operations platform at ZeroNorth, focusing on data ingestion, pipeline reliability, and high-performance APIs using Python, SQL, AWS, and Snowflake.
Senior Data Engineer building a modern AWS-based data platform from scratch for a Nordic bank, designing pipelines, ensuring governance, and mentoring teammates in a hybrid role across Sweden.
Data & AI Engineer designing and scaling backend services, APIs, databases, and cloud-native solutions to support RWE Offshore Wind's engineering and renewable energy operations, using Python, Azure, Databricks, Docker/Kubernetes, and AI/LLM frameworks.
Senior Data Engineer building a modern cloud data platform on AWS from the ground up for a Nordic bank, working hybrid with visits to HQ in Helsingborg and collaborating with data scientists, analysts, and business stakeholders.
Data & AI Engineer designing and scaling backend applications, databases, APIs and cloud-native solutions for RWE Offshore Wind's Engineering department, using Python, Azure, Databricks and LLM-based AI tooling.
Data Engineer building and owning an Iceberg/S3 data lakehouse for flight recorder data ingestion, quality validation, and savings reporting to optimize airline fuel efficiency.
Data & AI Engineer at RWE Offshore Wind designing and scaling backend services, databases, APIs, and cloud-native solutions to support engineering and renewable energy operations. Core stack: Python, REST APIs, SQL/NoSQL, Azure, Docker, Kubernetes, Databricks, and LLM-based AI applications.
Student worker building data pipelines with dbt and dashboards in Databricks to generate consumer interaction insights for LEGO's digital properties.
The Teamlead Data Engineering & Architecture manages the Digital Foundations team to establish data structures and engineering standards for AI and data products. The role focuses on quality management, capability building, and the continuous development of the company's data and platform landscape.
ETL Developer designing, developing, and optimizing enterprise data pipelines using DataStage, Python, SQL/HQL, and UNIX in support of AML initiatives. Hybrid role in downtown Toronto.
Data Engineer & Analyst on RBC's Retail Credit technology team, building ETL pipelines, data models, and climate risk analytics using Python, PySpark, and SQL to support climate risk disclosures and regulatory governance.
BI/Data Specialist working fully remote from Italy on client projects, building ETL pipelines on Azure Data Lake using Azure Data Factory, Databricks, and Power BI.
Design, build, and maintain scalable data pipelines and databases on Azure, collaborating with product teams to enable AI-driven data products and analytics using SQL, C#/.NET, Azure Data Factory, Cosmos DB, and Azure ML.
Data Engineer at Credem building and evolving cloud data infrastructure, migrating from legacy systems to a modern data lake on Google BigQuery using Python and SQL pipelines.
Design and develop batch and near-real-time data solutions for a major banking group, focusing on Data Governance, Data Quality, and regulatory compliance using data warehousing, microservices, and cloud/high-availability technologies.
Own and maintain ETL/ELT data pipelines, databases, and workflow orchestration for a credit risk research initiative at NUS's Asian Institute of Digital Finance, with opportunities to contribute to AI/LLM research.
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