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Build and operate open-source data platforms: pipelines, processing, orchestration, and deployment using Python, Spark, Kubernetes, and observability tools.
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.
Build and maintain open-source data platforms using Python, SQL, Spark, and Trino; design pipelines, orchestration, and observability for batch/streaming data.
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 an AI-native data governance platform using Unity Catalog, Confluent Schema Registry, and OpenMetadata to automate ownership, compliance, and metadata management at scale for a global jewellery brand.
Lead the architecture and hands-on development of a modern data platform using Azure, Databricks, and dbt to deliver scalable, governed data products and pipelines for an investment firm focused on health and sustainability.
Senior role designing and advising on open-source data platforms for clients, focusing on ingestion, processing, governance, and serving layers using Python, Spark, Kafka, Kubernetes, and related tools.
Build and maintain an AI-native data governance layer for Pandora’s global platform, using Unity Catalog, Schema Registry, and OpenMetadata to automate ownership, compliance, and metadata at scale.
Senior Data Engineer to migrate finance cost allocation from Alteryx/SQL Server to Databricks, replacing legacy workflows with PySpark pipelines and SAP HANA sources.
Design and build cloud-based data pipelines and storage for large-scale analytics, using Python, SQL, and Cloud platforms to deliver insights across industries.
Build and maintain scalable data pipelines on Databricks using SQL, Python, and PySpark, focusing on ingestion, transformation, governance, and delivery with Unity Catalog.
Build and maintain data pipelines and reporting systems on Azure to support renewable energy asset operations, using Python, SQL, and modern data tools.
Build and optimize a Databricks-based Lakehouse platform for a multi-channel retail business, transforming raw data into scalable, business-ready insights using PySpark, Delta Lake, and Unity Catalog.
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.
Lead a Databricks-based data platform, designing scalable pipelines, governance, and standards while mentoring engineers and aligning solutions with business goals.
Lead data engineering efforts to build and migrate a Databricks-based data lake and ML pipelines for an automotive client, using PySpark, Python, and CI/CD.
Build and maintain cloud data pipelines and analytics solutions using Python, SQL, and cloud platforms to turn large datasets into business insights.
Build and maintain data pipelines and reporting systems on Microsoft Azure to support renewable energy asset operations and performance analytics for global wind farms.
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