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Lead a team building scalable GCP data pipelines and cloud data warehouses for enterprise clients, using BigQuery, Dataflow, and DevOps practices to enable data-driven decisions.
Build and advise on modern data platforms on Google Cloud Platform, designing scalable architectures with BigQuery, Dataflow, and Dataproc while mentoring junior engineers.
Senior Data Engineer builds end-to-end data pipelines, modern data warehouses, and BI solutions for clients in marketing, CRM, and e-commerce using cloud DWHs, dbt, Airflow, and SQL.
Build and maintain robust data pipelines on Google Cloud Platform using BigQuery, Dataflow, and DBT, orchestrated via Cloud Composer.
Build and maintain high-performance GCP data pipelines using BigQuery, Dataflow, and Terraform, and guide clients through cloud data transformations.
Build and maintain scalable ETL/ELT pipelines on Google Cloud Platform using BigQuery, DBT, and Airflow to deliver clean, documented datasets for analytics and marketing teams.
Build and maintain scalable ETL/ELT pipelines on GCP to feed a modern data platform, enabling analytics and dashboards for an e-commerce and natural-cosmetics retailer.
Build and maintain high-volume data pipelines on GCP using BigQuery, dbt, and Airflow, optimizing performance and ensuring data quality for analytics.
Build and maintain data pipelines and warehouses using dbt, SQL, and cloud platforms like Snowflake or BigQuery.
Build and maintain end-to-end data pipelines and modern data stacks for clients, using cloud DWHs (BigQuery/Snowflake), orchestration (Airflow, dbt), and SQL/Python to deliver reliable, analytics-ready data and BI solutions.
Senior Data Engineer designing and building cloud data pipelines and warehouses on GCP using BigQuery and Dataflow for a consulting team.
Alternant Data Engineer in Sopra Steria’s Data Factory, building and optimizing Big Data pipelines for financial clients using Spark, Python, SQL, and cloud tools like Databricks and Snowflake.
Design and build end-to-end data architectures on Google Cloud, using DBT and BigQuery, while mentoring junior teammates in a fast-growing team.
Designs and builds AI-ready data pipelines and architectures for client projects using Python, SQL, dbt, Airflow, and BigQuery/Snowflake/Databricks in a CI/CD environment.
Design and lead modern, scalable data platforms on Azure and GCP, build robust pipelines with Spark/Databricks/Dataflow, and mentor teams while optimizing costs and governance.
Builds a data pipeline from Shopify and Lightspeed into BigQuery and creates dashboards in Looker Studio for a fast-growing Japanese-fusion restaurant-tech startup.
Build and maintain data pipelines for digital analytics, transforming raw data into KPIs and reports using Python, BigQuery, and visualization tools.
Design and build scalable cloud data pipelines and architectures on GCP to support clients' digital transformations using BigQuery, Dataflow, and Python.
Leads the design and rollout of a secure, governed data and AI platform for a major media/public-sector client, integrating GCP/AWS, Kubernetes, Kafka, and Collibra with strict data-security and DevOps practices.
Build robust data pipelines and cloud-native platforms using Python, SQL, dbt, Airflow, BigQuery, Snowflake, and Databricks, while integrating AI/ML workflows and RAG systems.
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