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Senior Data Engineer
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.
Principal Data Engineer
Lead the architecture and evolution of a Databricks-based data platform to power analytics and AI across a fast-growing MedTech company in dentistry.
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
Build and maintain Databricks-based data pipelines and models to turn airport operations data into insights that guide decisions and innovation.
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.
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.
Data Engineer - Platform & Analytics
Build and maintain cloud-based data pipelines, lakehouses, and reporting for Zurich’s APAC digital business using SQL, ETL/ELT, and tools like Databricks and Power BI.
Data Engineering Tech Lead
Lead the design and reliability of Deriv’s data pipelines, ensuring accuracy, observability, and governance for trading, compliance, and AI systems at scale.
Senior Data Engineer
Designs and maintains SQL Server, PostgreSQL, and DuckDB pipelines to extract, transform, and load SAP ECC6 data into a lakehouse, ensuring performance, governance, and reliability for analytics.
Senior Data Engineer Azure • Databricks • Spark
Build and optimize scalable data pipelines and Lakehouse architectures using Azure Databricks, PySpark, and Azure cloud services for enterprise clients.
Data Engineering Lead
Lead the design and build of enterprise-scale data platforms using cloud tools (AWS/Azure), SQL, Python, Spark, and orchestration (Airflow) to deliver reliable, analytics-ready data for BI, AI, and reporting.
Lead Data Scientist
Lead a team building AI-driven fraud detection models and MLOps pipelines on AWS and Databricks to proactively identify financial crime patterns and reduce losses.
Data/ai architect (databricks)
Design and govern enterprise AI architectures on Databricks, including MLOps pipelines, Unity Catalog governance, and generative AI use cases like RAG and LLM integration.
Data Engineer
Build and maintain data pipelines, quality workflows, and dashboards using Python, SQL, Azure Databricks, and Azure DevOps to ensure clean, reliable data for analytics and reporting.
Data Engineer
Build and operate cloud-native data platforms using Python, Spark, and AWS/GCP, designing scalable ETL/ELT pipelines and modern data warehouses.
Senior Data Engineer, Databricks (Latam)
Design and optimize Databricks-based ETL/ELT pipelines and streaming systems using PySpark, Delta Lake, and cloud stacks to deliver scalable, secure data solutions for enterprise clients.
Databricks Platform Engineer — AI & Data, Cloud Analytics
Designs, builds, and optimizes scalable cloud data platforms on Databricks and Spark for AI and analytics workloads, focusing on governance, security, and automation in Azure or AWS.
AI Architect - Databricks
Design and implement scalable AI/ML platforms on Databricks Lakehouse, leading data engineering, MLOps, and generative AI solutions for enterprise use cases.
Senior Data Engineer: AI-Driven Lakehouse & Cloud Pipelines
Design and build scalable data pipelines and lakehouse architectures on Databricks using PySpark/Scala and Delta Lake, ensuring production readiness with CI/CD and monitoring.
Solution Designer / Lead Data Engineer (Google Cloud)
Design and lead a modern, multi-cloud enterprise data ingestion framework, building scalable pipelines and governance controls to move batch and streaming data into cloud data lakes and warehouses.