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Senior Data Engineer
Senior Data Engineer designs and builds cloud-based data pipelines and warehouses using Google Cloud tools to deliver BI and analytics solutions for clients.
Data & Analytics - Data Engineering Lead (all genders)
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.
Data Engineer: Build the data foundation for the future of care
Build and maintain data pipelines in Python, C# and .NET that turn sensor, alarm and activity data into reliable datasets for AI-powered care products like Sensio Insight.
Software Engineer — Distributed Data Platform (Remote)
Builds and scales Dune’s blockchain analytics platform, designing distributed systems to ingest, decode, and process petabytes of on-chain data using Kotlin/Go with Java/Rust.
Staff Data Engineer – Data Modeling
Build and own end-to-end data pipelines in Snowflake and AWS, modeling billions of records into bronze, silver, and gold layers to power business insights and AI agents.
Lead Data Engineer
Lead data engineers design and build scalable data pipelines, modern data architectures, and analytics solutions for clients, using distributed storage/compute and TDD practices.
Data Engineer
Build and maintain cloud-based data pipelines and warehouses for clients in retail, finance, and healthcare, using Azure/GCP/AWS and modern data modeling techniques.
Senior Data Engineer - AI TechEx Data
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
Senior data engineer building and maintaining scalable data pipelines, storage, and architectures using modern tools like data mesh, while collaborating with scientists and stakeholders.
Senior Data Engineer: Architect & Scale Data Pipelines
Design and scale robust data pipelines and architectures for analytics and applications, writing high-quality code and ensuring data governance and privacy compliance.
Senior Data Engineer: Build Salesforce Data Products
Senior Data Engineer builds and maintains Salesforce-powered data products, including ELT pipelines and Snowflake data models, for a fintech company.
Senior Data Engineer – CRM and Customer Journeys
Build and operate Snowflake-based data products that power Salesforce CRM and Marketing Cloud customer journeys, including ELT pipelines, integrations, and data models.
Senior Software Developer
Build and operate microservices and APIs for a satellite-ground-network platform using Azure, Kotlin/Rust/Go, and SRE practices.
Backend Developer
Build and maintain backend services in Go/Python for an industrial automation platform, own CI/CD and observability, and ensure 99.95% SLA across cloud and on-prem deployments.
Sr Specialist Scientific Data Engineering
Design and build scalable data pipelines and architectures to support scientific research in food science, clinical studies, and pet health, using Python, SQL, cloud platforms, and orchestration tools.
Data Platform Engineer - Reference Data 100% (f/m/d) - (Contract through our external payroll partner with immediate start until 31.12.2026 with possible extension)
Build and maintain reference-data pipelines in Informatica IDMC for a global wealth-management firm, automating workflows and managing access controls.
Senior Data Platform Engineer
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.
Full Stack Software Engineer
Builds cloud-native insurance apps using Angular, React, .NET, and Azure Kubernetes, collaborating in an agile squad to deliver digital solutions for John Hancock customers.
P2625 - Data Platform Engineer - Full Stack
Build and maintain cloud-native data platforms (Azure/AWS) for clinical analytics, integrating SAS Viya and Medidata, while ensuring GxP compliance and automation.
Lead Data Engineer – Finance
Lead a team to build and maintain robust data pipelines and analytical datasets for Finance, supporting regulatory reporting, IFRS 17, and AI-driven use cases using Python, PySpark, SQL, and Databricks or Palantir Foundry.