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The Senior Data Engineer will build and maintain containerized data pipelines on AWS, integrating AI APIs and managing data lifecycles for new product modules. The role requires strong Python expertise and experience with AWS infrastructure to ensure seamless data flow into AI orchestration layers.
Designs, builds, and maintains data pipelines/infrastructure for clients while leading internal data engineering practice improvements, mentoring junior engineers, and optimizing methodologies for a consulting firm serving banks, ASX-listed companies, and government agencies.
Leads data transformation and migration for NSW Fair Trading’s digital modernization, ensuring accurate, compliant data for regulatory and customer-facing systems. Core focus: ETL, SQL, AWS, and Salesforce integrations.
Lead a small global data engineering and analytics team at a health-tech company while hands-on building batch and event-driven pipelines, dashboards, and data platforms using AWS (Redshift, Glue, Lambda, S3), dbt, Airflow, PySpark, and BI tools like Sigma/Looker.
Builds scalable data pipelines, telemetry systems, and analytics platforms for gaming ecosystems, focusing on data trustworthiness, observability, and stakeholder collaboration.
Data Engineer building real-time, automated data pipelines into data lakes/warehouses using SQL, Python, and big data tools like Spark and Kafka on a global ecommerce acceleration platform.
The Data and AI Engineer will manage the company's data infrastructure by maintaining an AWS Redshift data warehouse and building AI-driven analytics tools. This role involves creating ETL pipelines and developing agentic workflows to provide actionable insights for stakeholders across the restaurant group.
Senior full-stack engineer on TheFork's Growth & GTM team, building B2B features, internal tools, data workflows, and AI-powered automations using Node.js, TypeScript, React, and GraphQL to help restaurants activate faster and operate more efficiently.
Build and ship features for a restaurant booking platform’s billing, data flows, content moderation, and internal tools using Node.js/TypeScript, React, and GraphQL.
Senior Data Engineer designing and maintaining cloud-native data pipelines and infrastructure on AWS (Airflow, Glue, Redshift, Terraform) in a hybrid role based in Cape Town, mentoring a data team.
Senior Data Engineer building and operating the core data platform (pipelines, warehouses, feature stores) that powers analytics and ML at a Mexican BNPL/credit fintech, using Python, SQL, and cloud tools like Airflow, dbt, and AWS.
The Data Engineer will design, build, and maintain scalable data infrastructure and ETL pipelines to support data science and analytical needs. This role requires proficiency in Python, PySpark, and AWS technologies within a hybrid work environment in Toronto.
The Enterprise Solution Architect will lead the modernization of Oracle and AWS reporting ecosystems. The role involves data modeling, ETL development, and designing API-based solutions within a 6-month contract.
Design and document AWS cloud database architectures, lead migration and modernization of legacy on-premises databases to AWS, and architect data solutions using services like RDS, Aurora, Redshift, DynamoDB, S3, Glue, and Athena.
The Data Solutions Engineer will design and manage data solutions within Databricks and Microsoft Fabric environments on Azure. The role involves developing data workflows using Python and PySpark while ensuring code quality through rigorous testing.
Senior DevOps Engineer builds and secures multi-region AWS infrastructure using IaC, Aurora PostgreSQL, and CI/CD pipelines while ensuring observability and data residency compliance.
Zinkworks is hiring a Data Engineer to design and maintain scalable cloud-based data pipelines and models. The role involves using SQL, Python, and Apache Airflow to integrate data across relational, NoSQL, and graph databases for telecommunications and financial services clients.
The Senior Data Engineer will design, build, and maintain scalable data pipelines and AWS data platform services, including AWS Glue, Redshift, and Apache Airflow. This role involves collaborating with cross-functional teams to deliver reliable data solutions and business-facing models using Python, SQL, and dbt.
The Data Engineer provides L2/L3 operational support for enterprise data platforms, focusing on troubleshooting Databricks environments, ETL/ELT pipelines, and cloud-native services on AWS or Azure. The role involves incident management, performance monitoring, and maintaining technical documentation in a hybrid work environment.
Senior Data Engineer at Sytac building production-grade ETL/ELT pipelines in Python, PySpark, and SQL on Azure/GCP for large Dutch enterprises, treating data pipelines as software with IaC, CI/CD, Kubernetes, and Airflow.
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