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Designs and maintains ETL pipelines for market abuse surveillance and compliance using DataStage, Python, Oracle SQL, and Kafka.
Leads Salesforce data architecture and integrations, building robust pipelines to keep financial data flowing across systems.
Senior Data Engineer builds and optimizes Databricks Lakehouse pipelines in Azure, using PySpark to create scalable data models and incremental loads for large datasets.
Design and build scalable data platforms using Databricks and modern warehousing tech to enable data-driven decisions across global projects.
Senior Data Engineer builds scalable Lakehouse architectures and ETL/ELT pipelines using Databricks, Spark, and cloud services to turn logistics data into BI insights and support analytics across Azure, AWS, or GCP.
Senior Data Engineer builds and optimizes cloud-based ETL pipelines and data models for sales analytics at a large bank, using GCP, Python, SQL, and Gen/Agentic AI tools.
Build and maintain Roche’s enterprise knowledge graph, design ontologies, and create scalable data pipelines to power AI assistants and data integration.
Build an automated canary-analysis system that ingests edge-device telemetry, detects anomalies, and triggers promote/pause/rollback decisions using Prometheus/VictoriaMetrics and Python.
Senior Data Engineer designs automated compliance pipelines, refactors data flows, and scales Snowflake/DBT/Airflow systems to support regulatory automation and due diligence.
Designs and builds Snowflake-based data pipelines and ELT workflows for a Swiss mobility client, using SQL, dbt, Python, and CI/CD.
Leads the design and scaling of Tesco Poland’s data platform, building pipelines that ingest, transform, and deliver data for analytics and business use.
Design and build scalable data platforms on Azure, integrating enterprise sources with Microsoft Fabric, Databricks, and ETL/ELT pipelines to enable analytics and reporting.
Designs and builds cloud-native data pipelines and analytics solutions on AWS, using Python/Scala/Java and DevOps practices to process large datasets.
Builds and optimizes ETL pipelines for a lakehouse architecture using Python/Spark, SQL, and cloud tools to support enterprise-scale data workloads in Commercial Risk Solutions.
Lead the design of enterprise-scale data platforms using Snowflake, DBT, and Data Vault 2.0, while establishing governance and enabling analytics and AI across EU markets.
Designs and maintains scalable data pipelines using Databricks, Spark, and Azure to deliver business insights.
Designs and builds scalable data pipelines and lakehouse architecture for enterprise analytics, while mentoring engineers and enforcing data governance and security.
Senior AI & Data Engineer builds AI-powered solutions using Python, LLMs, and RAG pipelines, integrating them into production systems with Azure services.
Builds and optimizes cloud-based data pipelines using Microsoft Fabric, Azure Synapse, PySpark, and SQL to process diverse datasets for analytics and reporting.
Build and maintain real-time and batch data pipelines for a global video streaming platform using Java, Flink, and Spark to analyze and improve streaming quality.
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