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Data engineer in hospitality
Data engineer at The Social Hub who builds and maintains pipelines and data models bringing together hotel, CRM, finance and guest data into Microsoft Fabric on Azure, using PySpark, Python and SQL to power reporting, analytics and AI initiatives.
Senior Data Engineer
Consultant role employed by Eccera and placed on assignments (via Bouvet) building modern data platforms for private- and public-sector clients in Norway. You design and run ETL/ELT pipelines and data models using Microsoft Fabric and/or Databricks, SQL, and Python, and must speak fluent Norwegian.
Analytics Engineer
Analytics Engineer at VusionGroup serving as the technical reference per retailer: auditing client data sources, implementing retailer-specific dbt/SQL transformations and Databricks pipelines, and building usage-oriented models with standardized metrics, tests and observability, while bridging internal teams and client teams. Stack: Azure, Databricks, dbt, Airflow, Git, Datadog.
Lead Data Engineer
Lead Data Engineer who designs, builds, and maintains scalable data pipelines and lakehouse infrastructure on Azure Databricks for policy, billing, claims, and finance data at a mutual insurer. Provides technical leadership and mentoring to the data engineering team, using Python, Spark, SQL, and related Azure services.
Data Engineer - Canada Region
Data engineer on Slalom's consulting delivery teams in Vancouver, designing cloud-native data platforms and building batch/streaming pipelines for clients across AWS, Azure, GCP, Databricks, and Snowflake. Daily work spans data modeling, ETL/orchestration, governance, and client-facing engineering using SQL/Python and modern data tooling.
DO|BC - Data Engineer / ETL Developer
Data Engineer / ETL Developer at Huenei in Buenos Aires operating and auditing a multi-agent data system: reviewing Spark workload performance, running Databricks-to-legacy data reconciliation tests, remediating code quality/security findings, and managing Git/PR and deployment workflows. Core stack: Python, SQL, PySpark, Databricks, Delta Lake, CI/CD with Azure DevOps.
Data Engineer - Spark & Databricks, Flexible Hours
Huenei IT Services is hiring a Data Engineer in Buenos Aires to design modern data solutions, audit multi-agent pipelines, and ensure data quality across Spark workloads, with flexible hours. Core stack: Python, SQL, Spark/PySpark, Databricks, and Delta Lake, supporting cloud transformation efforts.
Lead Databricks Architect & Data Engineer
Contract (1-year) role in Central Singapore: lead Databricks initiatives on AWS as a technical architect — define Lakehouse architecture, build production pipelines with PySpark, Python, SQL and Delta Lake, enable AI/ML with security and governance, and mentor data engineers.
Data Engineer - Cognizant
Cognizant is hiring an AWS Data Engineer in Singapore to design, build, and operate end-to-end data pipelines on Databricks (and Snowflake) for what appears to be a government/public-sector delivery, covering governance, RBAC, CI/CD, IaC, and observability. Requires 5+ years in data engineering and 3+ years of hands-on Databricks work.
Databricks Data Engineer - 8-Week PoT for Simulated MVP
8-week contract Databricks Data Engineer in Sydney to finish a Databricks proof-of-technology and stand up a simulated MVP environment, delivering an end-to-end modelling pipeline with Unity Catalog security, Structured Streaming, Delta Lake, CI/CD in Azure DevOps/GitHub, and Python automation.
Real-Time Data Engineer - AWS/Kinesis & Databricks (Clearance)
Design and build scalable, real-time data pipelines on AWS and Databricks (Kinesis, Delta Lake, Spark) that process high data volumes and support business-critical data platforms. Based in Canberra or Melbourne, Australia, with AGSVA security clearance preferred.
Data Engineer - Databricks
12-month contract Data Engineer placed with a major financial services/insurance organisation in Sydney or Brisbane (hybrid). Day to day: building PySpark/SQL pipelines in Databricks, dbt and Delta Lake transformations across Bronze/Silver/Gold layers, and migrating legacy platforms (including SAS) to a cloud lakehouse.
Data Engineer
An 8-week contract (strong extension chance) in Sydney: a Databricks Data Engineer completes a Proof of Technology and stands up a secured simulated MVP environment (Unity Catalog, streaming pipelines, simulated asset telemetry) for a Global Optimisation and bidding platform supporting Quant Research.
Data Engineer
Builds and optimises real-time streaming data pipelines using AWS Kinesis, Databricks, Apache Spark and Delta Lake, writing Python and SQL for a technology organisation in Canberra or Melbourne. An AGSVA Baseline security clearance is required; package up to $140k.
Principal Data Platform Engineer - Databricks
Principal-level data platform engineer at Zalando in Helsinki, owning data product architecture and ELT pipelines across the Campaign and Content Platforms. Core stack is Databricks (DLT, Unity Catalog) and Delta Lake, with focus on data governance, security, and lakehouse performance.
Cloud and Data Engineer (Legaspi, Albay) - Dayshift
Client-facing data engineer who designs and manages Azure cloud infrastructure, builds Databricks/Delta Lake data pipelines, develops Power BI semantic models, and automates with Terraform and CI/CD. 5+ years experience, day shift, based in Legaspi, Albay — onsite preferred but remote applicants accepted.
Sr. Data Engineer (Azure) – Freelance / Remote
Freelance, fully remote Senior Data Engineer (5+ years) who designs and builds modern data platforms on Azure: implementing ETL/ELT pipelines with Python, PySpark, and SQL, orchestrating with Azure Data Factory, and building Delta Lake/lakehouse medallion architectures, plus enabling Power BI analytics. Full-time contractor engagement (AOR model possible).
68965 Data Architect
Senior data engineering architect at consulting firm Avanade in Singapore, designing and building cloud data pipelines, streams, lakehouse architectures, data service APIs, and Power BI dashboards for enterprise clients. Core stack is Azure (Data Factory, Data Lake, SQL), Databricks, and ETL/ELT tooling.