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Junior/Senior Data Engineer - Permanent Role
Designs and maintains scalable data pipelines, ETL processes, and warehouses to collect, process, and analyze financial data in real-time and batch modes using tools like Informatica, Spark, and Python.
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.
Big Data Engineer, Web3
Build and maintain large-scale data infrastructure for a top crypto exchange, integrating AI agents to automate scheduling, cost optimization, and incident response across distributed systems.
Information Technology Consultant (Data Engineer (Cloudera to AWS Migration)
Design and migrate data pipelines from Cloudera/Hadoop to AWS using Python, PySpark, and AWS services like S3, Glue, EMR, and Redshift to support analytics and reporting.
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.
Senior Software Engineer
Build and maintain full-stack e-commerce systems using Java/Spring, MySQL, NoSQL, Kafka, and cloud data tools while collaborating across global teams.
Data Scientist, Applied AI - Latin America - Remote
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Cyber Defense Big Data Engineer - Spark & ETL, Hybrid
Designs and builds large-scale data pipelines for cyber-defense analytics using Spark, Hadoop, and ETL tools to integrate multi-source data and enable intelligence-driven insights.
Senior Data Engineer (m/f/d)
Designs and builds scalable data pipelines and warehouses for healthcare analytics, integrating SAP, Salesforce, and cloud sources using Python, SQL, and Snowflake/Databricks.
Big Data engineer
Design and build large-scale Big Data platforms for cyber-defence, including ETL pipelines, document processing, and scalable analytics using Spark, Hadoop, and PyMuPDF.
Data Platform DevOps Engineer- 50% TW (Madrid)
Build and run a cloud-based data lakehouse platform for a fintech client, automating deployments, monitoring performance, and optimizing Kubernetes clusters with tools like Dremio, Spark, and Prometheus.
Data Engineering Lead – English Speaker – Office Based
Lead a team of data engineers to build and optimize large-scale data pipelines and cloud-based platforms using Python, Spark, and Databricks for analytics and ML workloads.
Data Engineering Lead
Lead a team building and optimizing large-scale data pipelines and cloud-based platforms for analytics and AI, using Python, Spark, Databricks, and cloud-native tools.
Data Engineer
Design and build a scalable data platform and analytics suite using Python/Scala, Spark, Hadoop, and cloud tools to power APIs and insights for customers.
Data Engineer
Builds and maintains robust data pipelines using Python/Scala, Spark, Hadoop, and SQL to enable reliable data products and analytics workflows.
Software Engineer Java DropWizard Python Django
Builds and maintains core data infrastructure using Java, Python, and tools like HBase, Hadoop, and Redis, while handling DevOps/SRE tasks across thousands of servers.
Backend Engineer (Java, Python, Django) for SRE & Data Infra
Builds and maintains data infrastructure and SRE tooling using Java, Python, Django, Dropwizard, HBase, and Hadoop in a cloud environment.
Senior Software Engineer - Python, Big Data & ML at Scale
Senior engineer building scalable APIs, big-data analytics pipelines, and ML models in Python/Scala to deliver fast insights from large datasets.
Senior Software Engineer – Python | Big Data | ML
Builds scalable Python-based big-data and ML services for credit risk, portfolio optimization, and ad targeting, using Spark, Hadoop, and ML lifecycle tools.
Software Engineer
Build scalable streaming and aggregation systems for payment networks, migrating Java services to Go and modernizing backend architecture.