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AWS Data Engineering Lead
Lead a data engineering team to design, build, and optimize AWS-based data pipelines and architectures, ensuring high-quality ETL/ELT processes and data lake solutions.
Senior Data Engineering Lead - Strategy, Data & Reporting
Lead the data strategy, governance, and reporting for a fintech company, defining ETL/SQL pipelines and visualization tools while leveraging AI to enhance payments and analytics.
Remote Aerospace Data Scientist — Big Data & Cloud Pipelines
Design and maintain high-volume data pipelines for aerospace applications using Python, SQL, PostgreSQL, and cloud tools like Cloudera/Hadoop/Spark.
Senior Data Platform Engineer - Snowflake/Azure & Salesforce
Design and build cloud-native data platforms using Snowflake, dbt, Airflow, Python, and SQL, integrating Salesforce data for analytics and governance.
Data Engineering & Analytics Specialist
Build and maintain ETL/ELT pipelines and translate business needs into scalable data solutions while collaborating with data scientists and cross-functional teams.
Data Quality & Analytics Engineer (Hybrid)
Builds and validates data pipelines, profiles datasets, and creates Power BI dashboards to turn raw data into trusted insights for analytics and AI use cases.
Senior Data Platform Engineer — Hybrid & Impact
Build and maintain scalable ETL/ELT pipelines and lakehouse architectures, design data models, and collaborate with ML/AI teams in a hybrid setup.
Senior Data & Analytics Engineer – Microsoft Fabric & Azure
Designs and builds cloud data pipelines and architectures using Microsoft Fabric and Azure, leveraging SQL, Python/PySpark, and Git for ETL/ELT workflows.
Technical Support & Data Operations Engineer
Experteer Overview ¿Tiene las habilidades necesarias para este puesto? Lea todos los detalles a continuación y presente su candidatura hoy mismo. As a Technical Support u0026amp; Data Operations Engineer, you identify…
Real-World Data Analytics Engineer | OMOP/FHIR Pipelines
Builds and maintains OMOP/FHIR data pipelines to integrate real-world clinical data for analytics and research in a healthcare setting.
Data Ops Engineer: AI Enablement & GenAI
Builds and optimizes ETL/ELT pipelines and integrates LLMs to deliver AI-powered analytics for enterprise clients.
EU Data Platform Engineer – Barcelona Onsite
Designs and maintains EU data pipelines for a mobility company, integrating sales, telematics, and market data while ensuring GDPR compliance and optimizing ETL/ELT processes.
Data Platform Engineer — Lakehouse & Governance Lead
Design and run large-scale data pipelines and lakehouse architectures, enabling analytics and AI workflows with Python, SQL, and Spark.
Senior Data Platform Engineer - Hybrid & AI-Ready Pipelines
Design and build scalable data platforms, lakehouse architectures, and ETL/ELT pipelines while collaborating with ML/AI teams to shape data strategy.
Data Engineer BI (ETL & Pentaho) — Hybrid in Barcelona
Builds and maintains ETL pipelines and BI reports using Pentaho and SQL for a stable long-term project in Barcelona.
Data Engineer / BI Developer H/M/X – Remoto
Build and maintain data pipelines, ETL/ELT processes, and BI models using Snowflake and dbt to deliver analytics and reporting for business needs.
Graph Data Engineer: Neo4j, Graph ML & Real-Time Pipelines
Builds and optimizes graph data pipelines and models using Neo4j, focusing on ETL/ELT workflows and real-time data ingestion for business needs.
Senior Data Engineer (Databricks) - EY GDS Spain - Hybrid
Build and maintain data platforms on Databricks and cloud engines to enable clients to make efficient decisions using Python, PySpark, and SQL.
Senior Data Engineer – Oracle PL/SQL, PostgreSQL Migration Expert
Senior Data Engineer leading Oracle-to-PostgreSQL migrations, optimizing data structures, and building ETL/batch pipelines while refactoring database logic into Java services.
Real-World Data Analytics Engineer: Build Pipelines
Build and maintain scalable data pipelines for real-world healthcare analytics, harmonizing source data with OMOP/FHIR standards and ensuring data quality.