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Senior Data Engineer - ETL & AI-Powered Pipelines
Owns and scales ETL pipelines for healthcare data using PySpark, Python, SQL, and AWS, while ensuring PHI/PII security and governance in a regulated environment.
Senior Data Engineer (Python, SQL, ETL, AWS)
Designs and maintains scalable data pipelines using Python, PySpark, SQL, and AWS services like MWAA/Airflow for ETL/ELT workflows.
Lead Data Engineer
Lead Data Engineer responsible for designing, building, and maintaining scalable healthcare data pipelines in AWS, handling PHI/PII securely, and integrating AI/ML for mapping and data quality while owning the full pipeline lifecycle from development to production.
Junior Data Engineer
Build and maintain ETL/ELT pipelines and PySpark jobs to feed AI and analytics platforms, ensuring reliable data flow for enterprise-scale products.
Reporting and Analytics Developer/Data Engineer
Builds and maintains data pipelines, ETL jobs, and dashboards for a government authority using Python, PySpark, Cloudera, and Tableau.
Data Test Automation Engineer - Azure Data & ETL QA
Builds and runs automated tests for Azure-based ETL pipelines, validates data quality, and creates Power BI reports for a fintech product.
Data Test Automation Engineer
Build and maintain automated test frameworks for ETL/data pipelines in Azure Databricks and Azure Data Factory, validate data flows, and write Python/SQL to ensure data integrity and consistency.
Senior Data Engineer - Fully Remote
Build and maintain high-performance Databricks pipelines in Python and SQL to power AI and analytics for enterprise clients in finance, healthcare, and tech.
Lead Data Engineer
Lead Data Engineer designs and builds modern data platforms (Databricks, Azure Synapse) and pipelines, mentors teams, and shapes Forte’s Data & AI strategy while collaborating with clients and stakeholders.
Senior data Engineer (M/F)
Build and maintain scalable data pipelines on Azure, using Databricks, Data Factory, PySpark and Python to support analytics and data science teams.
Azure Data Engineer - Inglés Avanzado
Designs and maintains ETL workflows in Azure Data Factory, migrates data to Azure Synapse Analytics, and ensures data quality using PySpark and Python.
Data Engineer
Design, build, and maintain scalable data pipelines and analytics solutions using AWS, Python, SQL, PySpark, and Apache Airflow for a hybrid role in Madrid.
Senior Data Engineer (Microsoft Fabric, PySpark, SQL)
Build and maintain a centralised Microsoft Fabric data warehouse using PySpark and SQL, applying medallion architecture to turn raw source data into trusted, analytics-ready products for CommBank.
Data analyst
Builds and maintains data warehouses and analytical dashboards, writes SQL queries, and collaborates with engineers and business stakeholders to deliver data-driven insights using PostgreSQL and related tools.
Azure Data Engineer
Designs and builds scalable Azure data pipelines and platforms to ingest, transform, and deliver clean data for analytics and reporting in a sustainability-focused chemicals company.
Azure Data Engineer
Build and maintain cloud-based data pipelines and warehouses in Azure to power automotive industry analytics, using Synapse, Data Factory, PySpark, and SQL.
Consultant Data Engineer IRC302341
Build and migrate data pipelines from Teradata to AWS Lakehouse using Databricks, dbt, Airflow, and Iceberg for a regulated financial services client.
Data Engineer
Designs and maintains data pipelines, transforms raw data into actionable formats, and ensures enterprise-wide data integrity for PwC’s global and local applications using SQL, Azure Synapse, Databricks, and Python.
Cloud-Driven Backend Engineer | AWS Data & Analytics
Designs and builds scalable AWS data pipelines using Python, PySpark, Airflow MWAA, and Redshift to power analytics and data warehousing.
Senior Data Engineer: Microsoft Fabric, PySpark & SQL
Build and optimize scalable data pipelines in Microsoft Fabric using PySpark and SQL, transforming raw data into analytics-ready layers for CommBank’s centralized warehouse.