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Data Engineer & Analyst i Rebil
Build and maintain data pipelines, integrate systems, and create dashboards to drive pricing, logistics, and marketing decisions for a fast-growing used-car marketplace.
Data Engineer - Gcp (Contrato por Proyecto)
Builds and optimizes GCP-based data pipelines using BigQuery, Cloud Functions, and Airflow to process large datasets and integrate APIs for analytics and reporting.
Data Engineer - Gcp
Build and optimize data pipelines on GCP, focusing on BigQuery performance, serverless data flows, and data governance while using Python, SQL, and DevOps practices.
Analytics Engineer: Build Scalable Data Models & Looker
Build and maintain scalable dbt data models and migrate dashboards to Looker to deliver trusted business insights in a fintech environment.
GCP Data Governance Engineer - Customer Value and Digital Engagement Department
Design and implement GCP-based data governance processes, metadata catalogs, and data quality standards to support AI/LLM initiatives and analytics modernization.
Senior Software Engineer, Data Platform Insights
Build and maintain Bolt’s data platform, enabling teams to create reliable, self-service data products using Python, dbt, Databricks, Airflow, and Kubernetes at petabyte scale.
Data Analyst & Solutions Engineer
Builds and optimizes ad-tech and AI-driven data products, analyzing large datasets to improve targeting and business decisions using Python, SQL, and visualization tools.
Junior Data Analyst & Solutions Engineer
Builds data-driven ad-tech and AI products by analyzing large datasets, writing Python/SQL queries, and creating dashboards to optimize marketing campaigns for global brands.
Senior Data Analytics Engineer
Build and maintain data pipelines and a BigQuery-based data warehouse for a global ride-hailing platform, reconciling financial data from multiple providers.
Senior GCP Data Governance Engineer (zdalnie)
Senior engineer designs and implements GCP-based data governance, metadata catalogs, and data quality processes for a Telco client migrating analytics to the cloud.
Data Analytics Engineer
Builds and optimizes data models in PySpark/SQL to support scalable analytics and dashboards, collaborating with business stakeholders and engineers to turn marketing, sales and logistics data into actionable insights.
Junior Data Engineer — Data & AI Factory (Shift-Based)
Build and maintain cloud-based data pipelines and AI solutions for public-sector clients using Python, SQL, DBT, and Looker.
Middle/Senior Data Engineer (Databricks) @ Itransition
Design and build scalable data pipelines and architectures on Databricks/Azure for clients, translating business needs into robust ELT/ETL solutions while collaborating with stakeholders.
Senior Data Engineer (M/F/D)
Design and build scalable Lakehouse architectures (Bronze/Silver/Gold) using Databricks and Delta Lake to transform logistics data into BI insights, optimizing ETL/ELT pipelines with PySpark and Azure/AWS/GCP services.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to process and transform large datasets for enterprise clients.
Azure Data Engineer with Databricks (AI&Data)
Build and maintain scalable Azure data pipelines and Databricks lakehouse solutions, transforming raw data into analytics-ready assets while collaborating with cross-functional teams.
Data Engineer (Spark) @ Addepto
Build and maintain scalable data pipelines for large enterprises using Spark, Cloudera, and Airflow to process streaming and batch automotive, aerospace, and telecom data.
Senior Data Engineer
Senior Data Engineer designs and builds scalable data pipelines and warehouses, mentors junior engineers, and ensures reliable data delivery for analytics and business insights.
GCP Data Engineer
Designs and builds GCP-based data pipelines, warehouses, and storage systems using BigQuery, Airflow, and Python; troubleshoots performance issues and mentors junior engineers.
Data Architect
Designs and implements scalable, secure cloud data architectures across GCP, AWS, and Azure to support analytics, AI/ML, and real-time systems for a cloud-first enterprise.