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Data Engineer IT, Telecom & Internet Copenhagen
Build and maintain scalable ELT pipelines and data infrastructure for Spirii’s EV charging platform, ensuring reliable data flow into Amazon Redshift and supporting analytics for charging events, subscriptions, and financial transactions.
Mid-level Data Engineer for Circle Gas
Build and maintain scalable data pipelines for IoT telemetry using PySpark, Airflow, and Iceberg on AWS, ensuring high-quality data for analytics and billing in a clean-cooking fuel company.
Data Engineer: Spark, Airflow & Lakehouse in AWS
Build and maintain scalable data pipelines using Python, SQL, Apache Spark, and Airflow in a product-focused team.
Senior Data Engineer with Oracle and PostgreSQL experience
Senior Data Engineer to migrate Oracle databases to PostgreSQL, convert ODI pipelines to Azure Data Factory, and build Power BI reports for business insights.
Data Engineer
Build and scale cloud-native data pipelines and infrastructure for a healthcare company, using Azure Databricks, PySpark, and Python to power analytics and AI across the business.
Talent Pipeline for opportunities within Data Engineering
Build and maintain data pipelines, ETL processes, and storage infrastructure to ensure reliable, scalable data flow for analytics and decision-making.
Senior Data Engineer
Senior Data Engineer builds and maintains cloud-based data pipelines and models for media analytics, enabling 1:1 retargeting and CRM for global brands using Spark, Python, and GCP/AWS/Azure.
Head of Data Engineering
Lead the design and build of a modern, scalable data platform for a biotech company using AWS and Databricks, enabling scientists and teams to access and analyze data for drug discovery.
Senior Data Engineer
Senior Data Engineer building and scaling a modern data platform to turn business needs into robust, high-quality data solutions and drive data-driven decisions.
Data Engineering Talent Pipeline: Ingest, Build, Insight
Designs and builds data ingestion pipelines, transforms raw data for analysis, and optimizes cloud-based data systems using Python, SQL, and ETL tools like Apache Airflow.
Lead Data Engineer
Lead a data engineering team to design and build scalable data pipelines, warehouses, and integrations for marketing tech stacks using GCP, Snowflake, dbt, and Airflow.
Data Engineer
Build and maintain scalable ELT pipelines and data infrastructure in Amazon Redshift to power analytics for EV charging events, subscriptions, and financial transactions.
Senior Software Engineer
Lead architecture and development of secure, scalable healthcare platforms integrating AI models, multi-modal databases, and real-time data pipelines for clinical insights.
Senior Data Engineer
Build and maintain scalable ELT pipelines in Snowflake using dbt and Airflow, ingesting data from APIs, databases, and streams to power a regional digital bank’s analytics and reporting.
Data Engineering Tech Lead
Lead the design and governance of Deriv’s data infrastructure, ensuring reliable, observable, and compliant pipelines that power trading, compliance, and AI systems at scale.
Senior Data Engineer
Build and optimize high-volume ETL/ELT pipelines, real-time data streams, and cloud data warehouses to power search, recommendations, and fraud detection for a large Southeast Asian marketplace.
Associate Director, Data & AI Architect
Architect enterprise-grade data and AI solutions for an insurer, designing cloud-native pipelines, Databricks lakehouses, and Agentic AI systems while aligning with insurance domains like IFRS17 and actuarial needs.
Senior Data Engineer
Build and maintain reliable, governed data pipelines for a global fintech, ensuring real-time accuracy for trading, compliance, and AI systems using GCP, BigQuery, Airflow, and Python.
AM Data Engineering
Lead a team to build and maintain data pipelines, ETL processes, and a data warehouse using SQL Server, SSIS, and Airflow to support analytics and AI initiatives in a fintech company.
Data Engineer
Designs and builds scalable Microsoft Fabric-based data pipelines and warehouses for analytics, using Azure, Python, and Spark to support banking or telecom reporting needs.