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Senior Data Engineer: SageMaker Studio Pipelines
Senior Data Engineer at ALOIS UK designing and governing data pipelines on AWS SageMaker Unified Studio, handling real-time and batch ingestion, data processing, and ML workflow orchestration. Core stack is Python, AWS, and Airflow.
Software developer and data engineer
Early-career software developer and data engineer on Pinnacle's Data & Business Analytics team in Brisbane, building Python applications, SQL Server data pipelines, dashboards and AI-enabled tools (Databricks) that automate processes and help business teams at an ASX-listed investment management firm.
AWS Data Engineer
Data engineer on HCLTech's Sydney 'Ninja Team' migrating on-premise Hadoop big data infrastructure to AWS. Day to day: building dbt transformation models, writing Snowflake SQL, developing Airflow DAGs on ECS, and Python-based Lambda ingestion pipelines over S3.
Data Engineer - Data Platforms - Snowflake
A 6+ month contract Data Platform Engineer role in Sydney (hybrid, other locations considered) via Whizdom for a leading organisation. Day to day: migrate legacy platforms (SAS, Netezza, Teradata) to Snowflake, build dbt models and Airflow pipelines, and use GitHub Copilot and Snowflake Cortex AI to accelerate and enhance data engineering.
Data Engineer
Data Engineer at Nine Entertainment (Australia's largest media company) in Sydney, joining the Commercial Growth Squad to build and maintain ETL pipelines, data models, quality checks, and monitoring for ad-revenue insights, while exploring AI to improve workflows. Core stack: Python, SQL, Apache Airflow, and cloud data platforms.
Sr Data Engineer
Senior Data Engineer in Sydney building and maintaining dbt transformation models and complex Snowflake SQL, developing Airflow DAGs on AWS ECS, and Lambda/Python ingestion pipelines across AWS services (S3, Glue, Lake Formation, EventBridge), with YAML data quality tests and GitHub Actions CI/CD.
Sr. Data Engineer
Senior Data Engineer in Perth building real-time and batch data ingestion frameworks on AWS: SageMaker Unified Studio, Kinesis/Kafka streaming, Glue/Spark batch, Redshift/RDS/DynamoDB storage, Airflow orchestration, CloudWatch monitoring, plus CI/CD and IaC. Advanced Python (Boto3) is core to the role.
DBT Data Engineer
Data engineer in Sydney building and maintaining dbt transformation models and Snowflake SQL pipelines, orchestrating workflows with Apache Airflow on AWS ECS, and developing Python Lambda-based ingestion across AWS services like S3, Glue, and EventBridge.
Python Data Engineer Cloud
12-month contract (W2/C2C, $80-85/hr) Cloud Data Engineer placed by staffing firm Brains Workgroup at a major bank in Central NJ; hybrid with 1-2 days per week on-site in Iselin. Day-to-day is building and optimizing Python/SQL ETL pipelines with Spark in Databricks on Azure, covering Delta Lake, data modeling, and streaming data.
Mechanical Engineer - Data Center Engineer
Key Responsibilities: Job Summary: We are seeking an experienced and technically proficient Mechanical Design Engineer Supervisor (Pampanga) to lead and oversee mechanical engineering design activities for data center…
Senior Data Engineer: Cloud Pipelines & Architecture
Senior data engineer (Data Engineer III) building and maintaining large-scale cloud data pipelines, lakehouses, and warehouses for a global financial-services/shared-services enterprise. Day to day: ETL/ELT design, data modeling, pipeline monitoring, and mentoring, using tools like Databricks, Snowflake, Airflow, Azure Data Factory, and Terraform.
Data Engineer III
Senior data engineer designing and maintaining large-scale cloud ETL/ELT pipelines, lakehouses, and warehouse structures for a global shared services / financial services enterprise, with data quality monitoring, CI/CD, governance, and mentoring duties. Core stack spans Azure/AWS/GCP, Databricks, Snowflake, Airflow, SQL, and Python/Scala/Java.
Senior Data Engineer
Senior Data Engineer at a fast-growing UK consumer tech company, joining a team of 5 to own data pipelines end to end using Python, SQL, Snowflake, dbt, Dagster and AWS, while improving staging/testing, monitoring, data quality and CDC/low-latency work. Fully remote within the UK, £85k–£100k.
Data Engineer Snowflake
Data Engineer within Sylkane's Maison Sense, an IT services firm with a Snowflake partnership: you design, build and optimize clients' Snowflake analytics platforms — robust data pipelines, modeling (Data Vault, star schema), performance tuning, dbt transformations, and data governance. Requires strong SQL/Python and Snowpark expertise; hybrid role in France (2 days remote), CDI preferred, open to
Senior Snowflake Data Engineer — Pipelines & Governance
Senior data engineer at Devoteam Data Driven in Lyon, building robust ETL/ELT pipelines and optimized Snowflake architectures to unlock client data value. Day to day: data pipeline and governance work using SQL, Python, Airflow/dbt orchestration, and cloud platforms (AWS, Azure, or GCP).
Senior Java Developer
Senior hands-on Java developer (10+ years) building scalable microservices for a major financial services technology programme in Edinburgh: designing REST APIs and Spring Boot services, React front ends, PostgreSQL data layers, API gateways (TYK, Apigee, IBM DataPower) on AWS/PCF/Tanzu, with CI/CD and production support.
Data Engineer
Data Engineer who designs, builds, and maintains scalable ETL/ELT pipelines, data warehouses, and data lakes to deliver reliable data for reporting, analytics, and machine learning. Core stack includes SQL, Python, cloud platforms (AWS/Azure/GCP), Spark, Kafka, Airflow, and Snowflake.
Electrical Design Engineer, Power Generation & Data Centre (Hybrid/ Shuttle Provided)
Location: Tukang, Singapore (West) Only candidates with the legal right to work in Singapore will be considered. Please note that applicants without this eligibility will not be considered. Why join Rolls-Royce? At…
Machine Learning Engineer - Risk Data Experienced (Individual Contributor) Singapore Data Science
Machine Learning Engineer building data and ML infrastructure for credit risk systems at Monee (part of Sea Limited). Day to day: productionizing ML models into real-time and batch risk decisioning, maintaining large-scale data pipelines, and improving monitoring and observability using Python, Spark, Flink, and Airflow.