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Logistics at full potential. At GXO, we’re constantly looking for talented individuals at all levels who can deliver the caliber of service our company requires. You know that a positive work environment creates happy…
Lokation: Aalborg, Aarhus eller Silkeborg Vil du være med til at bygge og udvikle en moderne dataplatform i Microsoft Fabric og samtidig have ansvar for, at den fungerer stabilt i produktion? Så læs med her! Hos Norlys…
We are Farmers – where ambition meets opportunity. At Farmers, we’re not just known for unforgettable jingle – we’re a team with a passion for purpose and making a real difference in people’s lives. We deliver peace of…
MISSION Colas is one of North America’s largest road and infrastructure groups, and Colas ISS provides the technology and data services that keep the business running. Databricks is our long-term data platform, and we…
Senior Developer in Data Engineering role focusing on data stack modernization, migrating from traditional ETL tools to cloud-native ELT stack using AWS, Python, Airflow, DBT, and Snowflake. Responsible for data modeling, data quality, and building scalable data pipelines.
Develops and maintains business applications, APIs, reports, and scripts for Bulk Barn’s retail systems, ensuring performance and documentation compliance while collaborating with vendors and project teams.
We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your…
DevOps/Cloud Engineer designing, developing, and supporting cloud-based treasury platforms, building automation and ensuring reliable production systems using AWS, C#, PowerShell, SQL Server, SSIS, and Control-M in a hybrid enterprise environment.
Designs and maintains AWS-based cloud solutions for Macquarie’s treasury and financial risk platforms, focusing on automation, CI/CD, and production reliability with tools like EKS, SSIS, and PowerShell.
Designs and maintains data pipelines, warehouses, and BI reports for a logistics client’s decision-making systems, focusing on ETL, SQL, and Power BI while supporting SQL Server → Vertica migrations.
Data engineer designing and deploying data warehouses, data lakes, and real-time pipelines using SQL, Python, SSIS, and cloud platforms (AWS/GCP/Azure), building ETL/ELT processes and backend APIs for analytics applications.
Builds and maintains scalable data pipelines, warehouses, and APIs to power analytics and applications using SQL, Python, and cloud platforms.
Data Engineer building ETL/ELT pipelines, data warehouses, data lakes, and backend APIs for a consulting firm serving banking and financial services clients.
Senior Data Engineer responsible for modernising a legacy MS SQL Server platform to AWS-native services (Aurora PostgreSQL, AWS Glue, Redshift), owning data ingestion, transformation, modelling and reporting with CI/CD for data pipelines.
Data Engineer/Report Developer on a 12-month contract enhancing a Data Warehouse and building Power BI reports for a Queensland Government Department, using SQL Server (SSAS/SSIS/SSRS), Power BI, MS Fabric, and ETL.
Data Engineer and Report Developer on a 12-month contract with a Queensland Government Department, responsible for ETL development, data warehouse maintenance, and building Power BI reports using the Microsoft data stack (SQL Server, SSAS, SSIS, SSRS, Microsoft Fabric, DevOps).
Senior Data Engineer to modernize legacy SQL Server systems to AWS-native data stack (Aurora PostgreSQL, Glue, Redshift, QuickSight) using Python/PySpark and CI/CD.
Senior Data Engineer modernising a legacy MS SQL Server data platform (SSIS, SSRS, SSAS) to AWS-native services including Amazon Aurora PostgreSQL, AWS Glue, Amazon Redshift, and Snowflake, with a focus on ETL migration and cloud data solutions in Sydney.
The Data and DevOps Engineer will design, automate, and maintain data workflows and business intelligence solutions using tools like Apache Airflow, Spark, and SQL. The role involves translating business needs into technical specifications, creating visualizations, and managing database systems.
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