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Java Architect designing, building, and deploying cloud-based digital solutions for a client's data science and clinical on-cloud platform. Day to day: leading architecture and development teams with Java and Spring, ensuring security, scalability, and standards, with supporting Python/Django and AWS skills.
Senior Python developer (6-10 yrs) who builds and maintains tech solutions, handles deployment and integration, supports production issue remediation, and shapes system architecture for performance, security, and scalability. AWS experience (Redshift, S3, Kafka/Kinesis, Lambda, Docker) is good to have.
Senior Data Scientist on Just Eat Takeaway.com's Courier Pay team, building real-time courier pay and boost algorithms that balance courier earnings fairness with marketplace efficiency. Day-to-day involves ML and constrained optimization models, causal inference and experimentation, and shipping low-latency pricing services with Python and SQL. Remote within Manitoba, Canada.
Builds and maintains scalable ETL and streaming data pipelines on Databricks and Azure (with some AWS), integrating databases, APIs, logs, and streaming sources, then monitoring, validating, and optimizing loads while supporting analytics, reporting, and ML workloads in collaboration with analytics, product, and infrastructure teams.
12-month contract (day rate) in Galway for a Data Engineer to design data models, build analytics-ready datasets in Snowflake, and develop cloud-native pipelines on AWS — including streaming with Kafka/Kinesis — with CI/CD and Terraform-based automation.
Early-career Data Engineer on Atlas Air's Data Platform and Engineering team, building and operating batch and streaming data pipelines, transformations, and data models on Databricks/Spark to support analytics, data science, and AI/ML at a global cargo airline.
Leads PPRO's Transaction Processing team in Berlin, owning the payment gateway and APIs at the heart of the platform — a hands-on 'mini-CTO' role (~40% in code/architecture) focused on people leadership, architecture, and operational excellence. Stack: Java/Spring Boot microservices on AWS (EKS, DynamoDB, Kinesis), Docker, Kubernetes, Terraform, Datadog.
Data engineer at Insured Connect, a life-insurance platform company, designing and building scalable AWS data pipelines (Glue, S3, Lambda, Step Functions), developing ETL processes with Python and SQL, creating POC solutions, and providing DevOps/run support for data services.
Staff Data Engineer on RBC Wealth Management's Data & AI team, building production-grade data pipelines, lakehouse data models, and APIs that serve BI/analytics and downstream AI/ML consumers. Core stack: Python, SQL, Databricks, Snowflake, Spark on cloud (AWS/Azure/GCP) with DevOps/DataOps practices.
Software engineer on GovTech Singapore's Anti-Scam Products team (Trust & Safety Group), building features that detect, disrupt, and deter scams at scale across data infrastructure, AI/ML detection, partner APIs, and enforcement-facing front ends. Core stack: Python, JavaScript/TypeScript, AWS, React/React Native, Terraform, and GitLab CI/CD.
Senior DevOps Engineer at a Sydney-based consulting firm, based in Indonesia, managing and scaling client cloud infrastructure. Day to day: build CI/CD pipelines, Infrastructure as Code, and automated data pipelines, using AWS, Terraform, Kubernetes, and Python-based data tooling.
Hands-on senior data engineer role at a data consulting firm, designing and delivering cloud data platforms for clients across industries. Core stack is Snowflake and dbt, alongside AWS (S3, Glue, Lambda, Redshift, Athena) and Azure (Data Factory, Fabric, Synapse, Databricks), with architecture, analytics engineering, and client-facing duties.
Senior Data Engineer building and embedding data foundations for front-office trading at a major energy trader — rolling out data-platform initiatives, coordinating change/incident management, and reporting to stakeholders. Core stack is Azure and Databricks with ELT, data modeling, and pipeline tools like Data Factory, Synapse, Airflow, and Redshift.
Software engineer on GovTech Singapore's Anti-Scam Products (GASP) team, building multi-component features — data infrastructure, AI/ML detection, partner APIs, and enforcement front-ends — to detect and disrupt scams at scale. Core stack: Python/JavaScript/TypeScript, AWS, React/React Native, Terraform, and GitLab CI/CD.
Senior engineer designing high-throughput, low-latency cloud infrastructure and data pipelines for a large entertainment/media company, hybrid in Seattle on a 1-year W2 contract. Core stack: Python, AWS (S3, Lambda, Kinesis), Terraform/CDK, Docker and CI/CD.
Builds and maintains ETL pipelines that turn financial and decentralized-asset (proof-of-stake/Web3) data into APIs, dashboards, and performance reports for a remote-first international team. Core stack is TypeScript and PostgreSQL, with Python, Rust, and GCP/AWS data tooling preferred.
Build and operate Kaseya’s scalable data platform, designing real-time pipelines and event-driven systems to power analytics, AI, and automation across millions of endpoints.
Design and maintain cloud-native data pipelines and warehouses on AWS to power analytics and AI for a fitness SaaS platform serving 10M+ gym members.
Build and optimize cloud-native data pipelines on AWS for an AI-first sports management platform, focusing on warehousing, modeling, and reliability for analytics and AI systems.
Remote Data Engineer (Philippines, contractor) building event-driven ingestion pipelines and analytics-ready data models for global payment platforms. Core stack: Kafka/CDC streaming, dbt, Google BigQuery, GCP (Airflow/Composer, Cloud Functions), plus Terraform and GitHub Actions for CI/CD, feeding Looker dashboards and regulatory reporting.
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