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Backend Engineer builds and maintains scalable data ingestion services and APIs using Python and Terraform-backed cloud infrastructure.
Lead the design and implementation of data infrastructure for hearing technology, building scalable pipelines and dashboards to support product development and research in audiology.
Senior Data Engineer builds and maintains modern data platforms and AI initiatives for a product company, collaborating with teams to design and implement solutions.
Build and maintain cloud-based data pipelines and AI-driven analytics using Azure Databricks, PySpark, SQL, and Power BI to deliver business insights.
Senior Data Engineer builds cloud-based data platforms on Azure, designs pipelines with Kafka and Azure Synapse, and develops web apps using Angular, Python, and FastAPI for energy-sector projects.
Builds and maintains BI back-end pipelines using Azure, Databricks, and PySpark to deliver clean, structured data for analytics and decision-making across the Aarsleff Group.
Designs and builds Azure-based BI and analytics pipelines for clients, integrating data sources and delivering insights through reporting tools.
Design and enhance event-driven, scalable data platforms using Kafka and Flink for a global energy-management company in Kolding.
Build and maintain data ingestion pipelines for a unified data platform supporting Bunker Holding Group’s logistics operations.
Build and maintain data pipelines, models, and governance controls to ensure high-quality, traceable data for a large financial institution.
Builds and deploys cloud data pipelines and models for clients in Copenhagen, working directly with engineers and business users to deliver production-ready solutions.
Build Palette’s AI-native signal engine: ingest team tool data, model it as a queryable graph, and power shared context for both humans and agents using LLMs and vector search.
Build Palette’s core AI/data engine that unifies signals from team tools into a real-time context graph for AI-driven workflows.
Build and deliver BI and data-science solutions using Power BI, Python, Azure, SQL Server, and SSIS/SSAS for internal teams and customers.
Designs and builds data pipelines and models to integrate engineering data, enabling AI-ready digital workflows for modern engineering at Saab.
Builds data pipelines and models to connect engineering systems and enable AI-driven analytics for modern engineering workflows.
Design and implement data protection controls using Microsoft Purview and insider risk solutions to safeguard sensitive data in a regulated financial environment.
Build and secure data pipelines, models, and integrations for a new defense-sector data platform in Copenhagen.
Builds and maintains data connectors and pipelines for brand, adtech, and marketing data using SQL, Python/Scala, and platforms like Databricks or Snowflake.
Build and maintain data pipelines that feed VML’s Open Intelligence platform, focusing on adtech/martech data connectors, SQL-based pre-aggregation, and cloud-native tooling.
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