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Senior Data Engineer, CX
Build real-time data pipelines and ML workflows on AWS to power AI-driven customer experience features, integrating LLMs and agentic systems for workforce management.
Senior Data Engineer
Design and build scalable data pipelines using PySpark, Databricks, and Azure services to transform raw data into business insights for Toyota Finance Australia’s automotive financing operations.
Data Engineer - Cloud Pipelines
Build and maintain cloud-based data pipelines for batch and streaming analytics, using Python, SQL, Kafka, Airflow, and GCP/AWS services to power business insights and ML at a fast-growing Q-commerce platform.
Remote Junior Data Engineer: SQL, Python & AWS Pipelines
Build and maintain ETL pipelines and data models using Python, SQL, PySpark, and AWS services for store operations and sales analytics.
Full Stack Engineer
Lead engineer building a real-time financial data hub using Java/Spring Boot and Kafka, migrating from batch to event-driven pipelines while mentoring the team.
Senior Associate/Manager Data Engineer Consultant (Data Bricks) / Technology Consulting
Design and build scalable data pipelines and architectures using AWS and Databricks, focusing on PySpark, Python, and SQL to enable advanced analytics and ETL workflows for enterprise clients.
Data Engineer (Neo4j Graph)
Design and build Neo4j graph data models and pipelines to detect fraud and money-laundering in banking, using Cypher, Python, and graph algorithms.
Data Engineer (Snowflake & AWS)
Lead cloud-based data engineering operations, build and optimize AWS and Snowflake pipelines, and manage production support for scalable data platforms.
Neo4j Data Engineer
Build Neo4j-powered fraud detection systems for banks, modeling customer/account relationships and applying graph algorithms to uncover money-laundering rings and account takeovers in real time.
Data Engineer-Neo4j
Designs and optimizes Neo4j graph models for banking data to detect fraud and build real-time AML dashboards using GDS algorithms and Bloom visualizations.
Data Engineer
Build and maintain data pipelines, ETL/ELT systems, and warehouses in AWS to feed analytics and ML models, using Python, SQL, Spark and Kubernetes.
Data Engineer Neo4J
Design and optimize Neo4j graph models for banking data to detect fraud patterns using GDS algorithms, then build real-time dashboards for Risk and AML teams.
Data Engineer - Factory Barcelona
Senior data engineer building ETL pipelines and data architectures using SQL/NoSQL, Fabric, AWS Glue/EMR, and Databricks, with optional MLOps and Azure exposure.
Senior Software Engineer (Data Platform)
Senior engineer building scalable data infrastructure for real-time network security analytics using Python, Kafka, and Kubernetes in a cloud-native environment.
Data Platform Engineer (Kafka)
Build and operate Verifone’s global data platform: Kafka streaming pipelines, multi-database systems, and cloud/on-prem infrastructure to power AI, analytics, and secure payment services.
Data Platform Engineer (m/f/d)
Build and maintain scalable data pipelines and cloud-based analytics platforms using Snowflake, Databricks, and Python, ensuring reliability, performance, and governance.
Lead Data Engineer
Lead a team to design and build scalable AWS-based data pipelines, warehouses, and real-time analytics using Python, Snowflake, and orchestration tools.
Data Engineer
Build and scale a cloud-native data platform in AWS (S3, Iceberg, Spark, Airflow) to process 100M+ objects with sub-500ms latency APIs for a new UK consumer credit bureau.
Data Engineer (All Levels)
Build and maintain scalable data pipelines and infrastructure for a talent-cloud platform, enabling analytics and AI-driven features using Python, SQL, cloud services, and streaming tech.
DevOps Engineer III
Designs and manages Kubernetes-based data services on AWS and GCP, automates infrastructure with Terraform and CI/CD pipelines, and supports cloud-native data tools while leveraging AI-powered DevOps tooling.