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Senior/Lead GCP Data Engineer
Design and build cloud-native data pipelines on GCP, enabling AI/ML initiatives and analytics for a global banking team using PySpark, Airflow, BigQuery, and Vertex AI.
Senior Data Engineer with Terraform
Senior Data Engineer designs and builds scalable GCP data pipelines using BigQuery, Dataflow, and Terraform, while automating DevOps workflows with GitHub Actions and Airflow.
Senior Data Engineer
Senior Data Engineer to design and build a greenfield data platform, ingesting payment and marketing data into a unified Lakehouse across AWS and GCP using dbt, Dagster, and Redshift/BigQuery.
Senior Data Engineer
Design and maintain scalable data pipelines and warehouses using Python, SQL, and Spark to move and model data for analytics and products.
Talencia Consulting - Business Data Analyst (Customer Oriented) Opportunity !
Analyze customer data to reduce churn, segment users, and optimize loyalty programs using SQL, BigQuery, and BI tools for a Brussels-based client.
Staff Data Engineer ($400k - 500k salary)
Build and scale real-time data infrastructure for a high-throughput crypto social network, designing pipelines, analytics systems, and storage solutions in Python/SQL with Spark, Kafka, and ClickHouse.
Risk Data Scientist: Cloud Data & KRI Architect
Build and optimize Key Risk Indicator systems for regulatory reporting and migrate legacy data (Teradata, SAS) to Google BigQuery while maintaining data lineage.
Remote Data Engineering Manager: Lead & Architect Data Platform
Lead a small team to design and maintain WeRoad’s BigQuery warehouse, dbt transformations, and data pipelines while collaborating with BI and market stakeholders.
Data Engineering Manager — Lead AI Data Platform (Remote)
Lead a team to build and maintain WeRoad’s AI-powered data platform, including BigQuery, dbt, and real-time pipelines, transforming raw data into trusted insights for global markets.
Data Engineering Manager
Lead a small team to build and scale WeRoad’s cloud data warehouse (BigQuery), dbt pipelines, and self-service BI tools, while driving AI adoption and data governance across the travel startup.
GCP Data Architect: Real-Time Pipelines & Data Quality
Designs and builds secure, scalable real-time data pipelines and systems on Google Cloud, using Scala/Java/Python and BigQuery to enable data-driven decisions.
AGBG Full Stack Engineer - Google Deployed Engineer (Italy)
Lead Google Cloud engagements, design cloud-native solutions, and oversee delivery for global clients using GCP services like AI, Data & Analytics, and Workspace.
MID DATA PLATFORM ENGINEER-28471.01.LD
Designs and builds a scalable Google Cloud data platform using BigQuery, dbt, Terraform, and Airflow to ingest, transform, and govern logistics data while integrating AI-driven monitoring and MLOps.
Senior Data Platform Engineer – GCP & BI
Designs and builds scalable cloud data platforms on GCP, including Data Warehouses and Data Lakes, using BigQuery and ETL/ELT pipelines, and supports BI tools like Power BI or Tableau.
GCP Data Architect & Engineer: Real-Time Pipelines & BigQuery
Designs and builds secure, scalable GCP data pipelines and BigQuery solutions to enable real-time analytics and data-driven decisions for global clients.
Senior Data Infrastructure Engineer
Build and own the data infrastructure for a search engine serving M&A advisors, banks, and funds, including ETL pipelines, cloud data warehouse, and monitoring.
ELT Data Engineer & BI Developer (Mid-Senior)
Builds and maintains ELT pipelines, migrates legacy systems to modern data stacks, and designs BI models using SQL, ETL/ELT, and dbt.
Data Platform Engineer
Build and maintain Google Cloud-based data pipelines and models to power real-time analytics and AI insights for a global fitness-tech leader.
Senior Full-Stack AI Engineer — Remote
Build and scale AI agents (LLMs) in Python, optimizing prompts, latency, and conversational flows for voice and chat integrations across platforms like WhatsApp and AWS.
Senior Full Stack Engineer
Build and optimize AI agents using Python and LLM frameworks to power voice and chat conversational systems, integrating with cloud infrastructure and APIs.