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Build and operate open-source data platforms using Python, Spark, and Kubernetes, focusing on pipelines, orchestration, and data quality for AI-driven analytics.
Build and operate open-source data platforms: pipelines, processing, orchestration, and deployment using Python, Spark, Kubernetes, and observability tools.
Senior Data Engineer builds and maintains scalable data pipelines and AI-assisted solutions for lending data at a major Nordic bank, using Oracle/PL-SQL and DataStage.
Senior Data Platform Engineer designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and scalability using Python, Spark, Kafka, Kubernetes, and related tools.
Build and scale Unity’s data infrastructure for Ads and internal platforms, designing resilient, high-throughput distributed systems and self-service tooling used across the company.
Design and build scalable data infrastructure for Unity’s Ads and Commons platforms, enabling high-throughput, reliable data flows across distributed systems.
Senior data engineer builds and maintains end-to-end data pipelines and models for a large bank, integrating AI to improve reliability and efficiency while ensuring compliance.
Build and optimize cloud-native data infrastructure and CI/CD pipelines for a global AdTech platform handling massive real-time workloads using AWS/GCP, Kubernetes, and Terraform.
Build and maintain data architecture, predictive models, and digital twins to optimize Elopak’s manufacturing process and improve quality, delivery, and efficiency.
Build and maintain open-source data platforms using Python, SQL, Spark, and Trino; design pipelines, orchestration, and observability for batch/streaming data.
Designs and builds the data foundation for AI agent platforms, ensuring data quality, provenance, and real-time compliance while integrating with customer systems.
Senior Data Platform Engineer designs, builds, and advises on open-source data platforms for clients, focusing on stability, security, and performance using tools like Trino, Spark, and Kubernetes.
Build and maintain modern data pipelines and orchestration systems using open-source tools to deliver data flows for clients.
Own cloud architecture, data pipelines, and reliability for a live AI-native trading platform using Kubernetes, GCP, and Terraform.
Build and maintain Lunar’s real-time data platform using Flink, Iceberg, and Kubernetes, enabling self-service analytics for the bank’s teams.
Build and scale cloud-native data pipelines and infrastructure for a healthcare company, collaborating with analytics, BI, and AI teams to deliver reliable data solutions.
Builds back-end data models and pipelines for IoT, workplace safety, finance, and ESG reporting using Azure, Databricks, PySpark, and Power BI.
Design and build scalable data pipelines and models using Databricks, Microsoft Fabric, and Azure tools to deliver business insights and solutions for clients.
Build and optimize ETL pipelines and data models using Databricks, Microsoft Fabric, and Azure tools to deliver scalable data solutions for clients.
Consultants build and implement data, AI, and analytics solutions for clients in finance, public sector, healthcare, and energy, bridging technical depth with business impact.
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