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Data Engineer
Designs and builds cloud-native data pipelines, ELT workflows, and data models for a data lake/warehouse using Python, Java, Spark, and cloud platforms like GCP or Microsoft Fabric.
Data Engineer - ETL Pipelines & GCP Specialist
Designs, builds, and optimizes scalable ETL/ELT pipelines and data warehouses on GCP to ensure reliable, high-quality data for analytics and business teams.
Middle Data Engineer
Designs and maintains scalable data pipelines and warehouses on GCP, using Python, BigQuery, and ETL tools to support analytics and data science teams.
Hybrid Technical Data Analyst - Building Production-Grade Pipelines
Builds and deploys production-grade data pipelines in Python/SQL, using Airflow or dbt to turn prototypes into scalable analytics services with FastAPI/Flask APIs.
Analytics Engineer: Shape Data-Driven Growth (Hybrid)
Build dashboards, data models, and ELT pipelines to turn business questions into reliable data and insights for a fast-growing startup.
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 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.
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.
Lead Data & AI Engineer (GCP, ELT Pipelines, BigQuery)
Lead a team to build and optimize GCP-based ELT pipelines in BigQuery using Dataform and SQL, focusing on cost, performance, and data quality.
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.
Lead Data & AI Engineer | JUNGLE
Lead the design and optimization of data pipelines and AI models on Google Cloud, using BigQuery, Dataform, and Python to build scalable ELT workflows and maintain robust data platforms.
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 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.
Tech Lead Data Engineer - Snowflake, dbt & Power BI
Leads the architecture and optimization of data pipelines on Snowflake and dbt, sets engineering standards, and collaborates with Power BI to deliver logistics analytics.