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Data Engineer, Investment Services
Build and maintain high-throughput data pipelines in Databricks and AWS to ingest, normalize, and enrich financial and alternative data for AI/ML models.
Data Engineer, Investment Services
Build and maintain high-throughput data pipelines in Databricks and AWS to ingest, normalize, and enrich financial and alternative data for AI-driven investment workflows.
AI Full Stack Software Engineer (Agentic AI & UI Focus)
Build and maintain data pipelines and ETL processes to support AI agents and ML workflows, ensuring reliability, security, and compliance for healthcare-focused AI initiatives.
Head of Data Engineering
Lead a team to build and maintain VELUX’s global data platform (Snowflake/dbt) and AI initiatives, ensuring scalable, secure, and cost-efficient data pipelines and governance.
Staff I Data Engineer
Build and own the data platform for an AI-powered SaaS finance product, designing Snowflake pipelines, Power BI analytics, and AI-driven development workflows to deliver trusted insights for enterprise customers.
Data Engineer, Medical Data Foundation
Build and govern a medical-data foundation for AstraZeneca, designing ETL pipelines, data models, and governance to make AI-ready datasets available to medical teams and analytics platforms.
Senior Data Engineer (Azure)
Senior Data Engineer builds and optimizes Azure-based ETL pipelines, data warehouses, and BI reports using SQL, Azure Synapse, and Power BI to deliver clean, governed data for analytics.
Data Engineering Tech Lead
Lead a team of data engineers to design, build, and optimize cloud-based data pipelines and warehouses using Python, SQL, Scala, and Azure, while mentoring engineers and ensuring data quality and security.
Hybrid Data Engineer – GCP, Real-Time Pipelines
Build and maintain production-grade GCP data pipelines with Python and SQL, ensuring data quality and integrity in a regulated environment.
Senior Data Engineer
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
Lead Data Engineer
Lead a team to design, build, and maintain scalable data pipelines and analytics platforms using Azure Data Factory, Databricks, and SQL Server, ensuring high-quality financial data for decision-making.
Lead Data Engineer
Lead a team to design, build, and maintain scalable data pipelines in Azure Data Factory, SQL Server, and Databricks, ensuring high-quality, reliable data workflows for financial markets infrastructure.
Senior Data Engineer
Design, build, and optimize large-scale data pipelines and warehouses for a finance-automation SaaS, ensuring data quality and accessibility for analytics and product teams.
Senior Data Engineer
Senior Data Engineer designs and builds enterprise data platforms, ELT pipelines, and AI-ready architectures to power analytics and machine learning at a global company transitioning to smoke-free products.
Senior Data Engineer
Build and maintain secure, scalable data pipelines and models across on-premise and cloud systems for a Nordic bank’s credit risk platform, using SQL, Snowflake, and Kafka.
Senior Data Engineer
Senior Data Engineer builds and evolves a scalable enterprise Lakehouse platform using Python, PySpark, Databricks, and Azure services to power analytics and AI workloads.
Analytics / Data Engineer
Build and maintain the data warehouse and pipelines that power reporting, AI workflows, and decision-making for a prop-trading discovery platform.
Azure Data Engineer
Builds and maintains Azure-based data pipelines and products using Databricks, Python, and Spark to process and integrate large datasets for clients.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines, ETL processes, and cloud-based data platforms (Azure, Databricks, Snowflake) to support Heineken’s global operations and analytics.
Senior Data Engineer
Build and optimize cloud data pipelines for a retail client using Snowflake, Python, DBT, and Azure/AWS, focusing on automation, governance, and Data Vault modeling.