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Senior DevOps Engineer, Infrastructure(Data+AI Infra)
Build and scale global data/AI infrastructure using Kafka, Flink, Spark, Kubernetes, and Terraform to support payments and embedded finance for 250k+ businesses.
Senior/Staff Data Engineer, Analytics and Reporting
Build and maintain analytics-ready data marts and pipelines for a crypto exchange, using dimensional modeling, Spark/Flink, and cloud data tools to power business decisions.
Forward Deployed Engineer — AI/Data Solutions
Embeds with customers to design and build full-stack AI/data solutions on Databricks, owning architecture and implementing end-to-end systems across data engineering, AI, and apps.
Data Engineer (GeBIZ X)
Build and maintain scalable data pipelines and AI-driven platforms for Singapore’s government procurement system, integrating ETL, streaming, and MLOps to support public-sector decision-making.
Quantitative Software Engineer
Build and maintain mathematical models and backend systems that power financial risk calculations and AI-driven workflows using Python, PySpark, and Databricks.
AG Insurance - AI Data Scientist
Build and deploy AI models (GenAI, NLP, deep learning) to solve business problems in insurance using Python, SQL, and Databricks.
Senior Marketing Executive
Why this role exists… We're looking for a hands-on marketer who enjoys variety and likes getting involved in all aspects of marketing. As Snap continues to grow, so does the breadth of our marketing activity. There…
Data Platform Engineer - Azure, Databricks & CI/CD
Design and operate scalable data infrastructure on Azure and Databricks, deploying robust environments and CI/CD pipelines for reliable data workloads.
Senior Data Engineer – automotive sector (f/m/x)
Build and maintain ETL pipelines for an automotive client using Azure Data Factory, Databricks, and SQL; write Python/Scala/Java code and collaborate in Agile teams.
MLOps & AI Data Engineer — Cloud-Native ML Expert
Build and maintain cloud-native ML pipelines and automation for AI model deployment using tools like MLflow, Kubeflow, and AWS SageMaker.
Senior Data Engineer - Azure, Databricks & AI Solutions
Builds and maintains enterprise-scale data pipelines and cloud platforms in Azure and Databricks, enabling large-scale analytics and AI solutions.
Senior Databricks Data Engineer | Python & Cloud Automation
Builds and automates data pipelines on Databricks using Python and cloud infrastructure, transforming raw data into analytics-ready datasets.
Senior Data Engineer (Python / Apache Spark / Azure)
Builds and optimizes data pipelines using Python, Apache Spark, and Azure tools to process and transform large datasets efficiently.
Senior Azure Data Engineer - Hybrid, Databricks & Airflow
Designs and optimizes scalable Azure data pipelines using Databricks, ADF, Data Lake Gen2, and SQL, ensuring reliable data flows for an enterprise project.
Senior Data Engineer – Azure ETL & Data Platform Expert
Senior Data Engineer designs and maintains Azure-based ETL pipelines using Data Factory, Databricks, and SQL, ensuring efficient cloud data workflows.
Senior Data Engineer – Databricks, PySpark & ETL
Builds and optimizes ETL pipelines using PySpark and Databricks to move and model data in a data warehouse.
Data Engineer: Predictive Maintenance on Azure Databricks
Builds a predictive-maintenance pipeline for aircraft engines using Azure Databricks, Spark, and Python to process large-scale sensor data.
Senior Data Engineer: Spark, Python on Azure
Builds and optimizes data pipelines using Apache Spark (Databricks/Azure Synapse), Python, Pandas/Polars, and Parquet/Delta Tables for reliable analytics workloads.
Azure Databricks Data Engineer — Lakehouse & ETL
Design and build scalable Azure Databricks-based data pipelines and lakehouse architectures using Spark and Azure Data Factory to power analytics and reporting.
Senior Big Data Engineer - Azure & Databricks
Designs and builds scalable data analytics pipelines on Azure and Databricks for a heating industry client using Python, SQL, and cloud infrastructure.