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Senior Data Engineer (Databricks/AWS)
Senior Data Engineer builds and migrates data pipelines for a life-sciences CRM transition, using Databricks, AWS S3, dbt, and Airflow to move and transform Salesforce/Veeva data into a cloud data warehouse.
Remote Azure Data Engineer: ETL, Synapse & Warehousing
Builds and maintains ETL pipelines and data warehouses using Python (PySpark) and Azure Synapse Analytics for a consulting firm.
Data Engineer (Databricks)
Build and optimize cloud-based data pipelines in Azure for healthcare analytics, using Azure Data Factory, SQL, and modern data architectures to support reporting and compliance.
Data Engineer (Tableau)
Build and maintain scalable data pipelines, ETL/ELT workflows, and Tableau dashboards to transform raw data into actionable insights for clients.
Semi Senior Data Engineer - Databricks & Pipelines
Build and maintain data pipelines in Databricks using PySpark/Python and SQL, ensuring data quality and governance for a fintech company.
Azure Databricks Data Engineer | Lakehouse & Pipelines
Design and build Azure Databricks Lakehouse pipelines and integrate them with SQL Server data warehouses using PySpark and big data tools.
Azure Data Engineer — Remote ETL & Data Warehousing
Build and maintain ETL pipelines using Python and PySpark on Azure Synapse Analytics for a data-focused consultancy.
Senior Data Engineer
Build and maintain reliable data pipelines and a Lakehouse architecture on Databricks to feed analytics, models, and APIs, while integrating AI/ML solutions and mentoring peers.
Data Engineer
Build and maintain data pipelines in Python, AWS Glue/pyspark, Lambda, Kafka, and Postgres to ensure reliable data processing and warehouse integration.
Data Engineer / Permanent / Auckland / $150k NZD
Salary: 145000 Data Engineer / Permanent / Auckland / $150k NZD About the Company Our client is a Private Equity backed healthcare services organisation operating across Australasia. They're mid transformation,…
Senior Data Engineering
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems.
Senior Data Engineer | Dataiku DSS v14, Big Data & EBA Stress Testing (IT) / Freelance
Senior Data Engineer builds and maintains Dataiku DSS v14 pipelines and PySpark/SQL processes for EBA Stress Testing, focusing on Credit Risk data pipelines and regulatory reporting.
Data / AI Engineer Snowflake H/F
Build and maintain Snowflake-based data pipelines and AI platforms for clients, using Python, Spark, Airflow and Kubernetes to turn raw data into business insights.
Senior Data Platform Engineer — Lakehouse & PySpark
Designs and maintains scalable data pipelines using PySpark and Delta Lake on Databricks to enable reliable data enrichment across platforms.
Global Data Platform Engineer (AWS, PySpark)
Designs and optimizes cloud-based data pipelines using AWS, PySpark, and Databricks to process and govern enterprise data in agile, international projects.
DATA ENGINEER CONFIRMÉ – SNOWFLAKE / DATABRICKS / CUSTOMER DATA & IA (H/F)
Build and optimize modern data platforms using Snowflake and Databricks, design scalable pipelines, and implement CRM/CDP solutions for large retail, banking, and automotive clients.
DATA ENGINEER CONFIRMÉ – SNOWFLAKE / DATABRICKS / CUSTOMER DATA & IA (H/F)
Build and optimize modern data pipelines and platforms using Snowflake and Databricks, then activate customer data in CRM/CDP systems like Salesforce and Adobe for marketing use cases.
Data Engineer Confirmé(e) - PySpark - (Dataiku) - Services Financiers - Ile de France
Data Engineer building PySpark pipelines and Dataiku workflows to ingest, transform, and expose financial data for a large client, using cloud-based data lakes and CI/CD.
Data Engineer Confirmé(e) - expert PySpark - Services Financiers - Ile de France
Build and maintain scalable data pipelines for a major financial client using PySpark, Kafka, and cloud technologies, ensuring secure ingestion, governance, and delivery of data to business users.
DevOps Project Manager: Data Pipelines & Cloud
Manage and build robust data pipelines on Databricks using PySpark and Spark SQL for enterprise clients across industries like logistics and banking.