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Design, build, and maintain data pipelines, data models, and analytics-ready datasets using Microsoft Fabric, Azure data services, and medallion architecture patterns for a government education institute.
Data Engineer building and maintaining data pipelines and analytics-ready datasets using Microsoft Fabric, Azure data services, SQL, and Python within a government education institution.
Design, develop, and optimize scalable ETL/ELT data pipelines using Python, PySpark, and SQL for a Singapore-based consulting firm serving banking clients.
Build and maintain scalable data pipelines on Databricks using PySpark and Python to deliver government analytics solutions.
Data Engineer designing, developing, and optimizing scalable ETL pipelines and data warehouses using Python, PySpark, SQL, and cloud data platforms for large-scale datasets in Singapore.
Data Engineer responsible for designing, developing, and maintaining scalable data pipelines on Databricks and Azure, supporting analytics and ML workloads with ETL, streaming, and batch processing.
Oversees data ingestion pipelines for analytics and AI, designing and maintaining frameworks to extract, validate, and integrate data from multiple sources into a data lake, ensuring performance, automation, and SLA compliance.
Data Scientist/ML Engineer responsible for the full data lifecycle—designing, training, and deploying machine learning models in production environments using Python, SQL, and ML frameworks.
Technical Data Steward managing data quality, profiling, and SQL queries using Azure Databricks notebooks, based on-site in Barcelona or Madrid.
Data Engineer in Madrid designing and optimizing data pipelines with PySpark and SQL on AWS, including containerized deployments for scalable analytics workloads.
Senior Data Engineer designing and evolving ETL/ELT processes, implementing data ingestion/transformations in Data Lake/Warehouse/Lakehouse, ensuring data quality, and acting as technical lead. Core technologies: Databricks, Python, SQL, Spark.
Data Engineer / ETL focused on Microsoft Fabric, building ETL/ELT processes, Lakehouse architectures (Bronze/Silver/Gold), data modeling, and integration using Python, PySpark, SQL, and Power BI.
Builds and maintains scalable data pipelines for EA’s Localization team, processing structured/unstructured data to support AI/ML and analytics. Focuses on ETL/ELT, cloud-based solutions, and ensuring data integrity for global game localization.
Data Engineer at Accenture España designing and implementing modern, scalable data architectures (ETL, data ingestion, data quality) for top clients using Python, PySpark, SQL/NoSQL, Big Data, and cloud technologies in a hybrid role based in Barcelona or Madrid.
Analytics Engineer owning the data modelling layer on Microsoft Fabric/dbt, building transformation logic and semantic layers to deliver trusted datasets for Power BI reporting at an energy supplier.
Leads design, development, and optimization of scalable data pipelines and frameworks for analytics/ML, integrating diverse data sources into unified platforms while mentoring engineers and ensuring system reliability and performance.
Senior Analytics Engineer owning healthcare data methodology—defining episode triggers, provider attribution, and quality measures—using advanced SQL and AWS to transform claims data into production-grade metrics for health system customers.
Senior Data Engineer designing and building scalable data pipelines and transformation workflows using Databricks or Snowflake with dbt, following ELT and medallion architecture patterns for enterprise data platforms.
Senior Data Engineer leading the migration from legacy SQL Server and traditional data warehouses to a modern Microsoft Fabric platform, combining hands-on PySpark/SQL development with stakeholder consulting and technical leadership.
Senior Data Engineer owning and building a data platform end to end on AWS/Databricks using Python and PySpark, while leading a small team at a healthcare-focused SaaS company.
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