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Data Engineer working on GCP to industrialize data pipelines, manage MLOps and FinOps, using technologies like BigQuery, GCS, Python, and SQL for a banking sector client.
Optimizes GCP/BigQuery pipelines, code, and CI/CD workflows for an aerospace/logistics client’s data platform modernization.
Leads data architecture and engineering standards using BigQuery and CI/CD, improving data infrastructure and collaborating with teams.
Lead a data engineering team to design robust data architectures, optimize queries, and implement CI/CD pipelines while mentoring teams on best practices.
Whize est une filiale du groupe Neurones (7000 collaborateurs en France), spécialisée dans le domaine de la Data Intelligence et du développement de solutions sur mesure en architecture Serverless. Notre positionnement…
Builds and optimizes scalable data pipelines and backend services on GCP, focusing on Spark jobs, Kafka integration, and BigQuery analytics.
Builds and maintains high-performance data pipelines on GCP using Spark and Kafka to enable large-scale analytics and cloud-native data solutions.
Type: Full Time - Contract 6 months (Extendable) About the Role: We are seeking a talented Data Engineer with hands-on experience in building scalable data pipelines and modern cloud-based data platforms. The ideal…
Designs and maintains scalable data pipelines and warehouses that feed analytics and ML teams, using cloud platforms and modern data tools.
Builds and maintains scalable data pipelines and warehouses for Marti’s mobility platform, integrating ride-hailing, e-scooter fleets, and IoT systems to enable real-time analytics and decision-making.
Build and maintain data pipelines, analyze large datasets, and create ML models to drive business decisions using SQL, Python/R, and cloud/data tools.
This position bridges the gap between business requirements and technical implementation. It encompasses the design of data pipelines, integrations, and storage solutions (databases, data warehouses, and big data).…
Analytics Engineer role in London working on the Modern Data Stack (dbt & BigQuery) to transform raw data into actionable insights, building data models and automating processes while bridging the gap between data and business stakeholders.
Builds and maintains data models (customer acquisition, retention, forecasting) in BigQuery using dbt to enable business decisions; collaborates with marketing, ops, and finance to define metrics, dashboards, and scalable analytics systems for a premium UK ecommerce brand.
Lead the design and evolution of MoonPay’s data platform, building scalable pipelines, governance, and ML enablement while partnering with engineering and compliance teams.
Build and maintain cloud data platforms on GCP, designing scalable pipelines with dbt, Airbyte, and Prefect while using AI-assisted tools to deliver reliable analytics and reporting for a global connectivity company.
Build and maintain the data pipelines and systems that power Troubadour’s AI-driven operations, ensuring clean data across Shopify, 3PLs, Amazon, and finance.
Designs, develops, and maintains scalable data pipelines and cloud-native data solutions on Google Cloud Platform, focusing on ETL/ELT development, data warehousing, and cloud migration using GCP services like BigQuery, Dataflow, Dataproc, Cloud Composer, Pub/Sub, and Cloud Storage.
Builds and maintains ETL pipelines for BI solutions, ensuring data quality and availability for reporting/dashboards using SQL, Python, BigQuery, and SAP HANA.
Builds cloud-based data platforms and pipelines to enable business insights, designing architectures and integrating data from multiple sources (including streaming) for clients across industries. Uses modern tools like Snowflake, Databricks, and Azure Data Factory to deliver iterative, value-driven solutions.
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