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Builds and maintains Databricks' modern SaaS data and AI platform, focusing on full-stack development for SQL analytics, workflows, and developer tools using JavaScript, React, Node.js, Python, and cloud services.
Data Engineer - Expert Databricks role focusing on developing, maintaining and optimizing data pipelines with technologies like Python, SQL, Spark, Airflow, Kafka, and cloud platforms including Databricks for client data migration projects.
An experienced data engineer for industrial data engineering, focusing on smart manufacturing and IoT, responsible for designing data architecture components, ingestion flows, and data quality rules while coordinating with OT connectivity and ensuring compliance with cybersecurity and export-control requirements.
Design and configure industrial data architectures, ingestion flows, and data lake components (Spark, InfluxDB, PostgreSQL) while ensuring compliance with cybersecurity standards in an IT/OT environment.
Designs and manages Databricks-based ELT pipelines and data migrations, bridging business needs with technical execution in an agile data engineering role.
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…
Data Engineer building scalable data pipelines, web scraping, and browser automation solutions using Python and SQL to power AI-driven healthcare analytics platforms.
Lead Data Platform Engineer to own and advance enterprise data platforms including Cloudera Data Platform, Azure Data Lake, and Kafka, and guide architecture, delivery, and operations across on-prem and cloud.
Builds and maintains Microsoft Fabric’s data platform (lakehouses, warehouses, pipelines) to ingest, transform, and model data from ERP/CRM/e-commerce sources, enabling analytics, AI assistants, and reporting via Power BI and Fabric IQ.
Designs and maintains Azure-based data pipelines, data lakes, and AI-driven analytics tools to support capital projects and infrastructure decisions.
Builds and maintains data pipelines and SQL/Python logic to clean and prepare trusted datasets for regulatory analytics and reporting in BC’s financial oversight sector.
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.
Design and build scalable cloud-native data pipelines and analytics-ready solutions using Azure, Databricks, and Python to support organizational decision-making.
Builds data pipelines and models in Redshift/Data Lake, then designs Tableau dashboards for SportSG’s public-sector analytics, leveraging AWS infrastructure.
The Data Engineer – Business Intelligence & Dashboards will be responsible for the following: Stakeholder Engagement: Partner with business units across SportSG to understand data and reporting needs Translate…
Designs and builds secure Azure data pipelines, models, and reports for a government programme, delivering insights from large-scale datasets.
Build and maintain scalable data pipelines on Azure, integrating diverse sources and transforming raw data into reliable, analytics-ready datasets for the business.
Lead the optimisation and evolution of BBC’s data lake and warehouse platforms, designing scalable cloud architectures (AWS CDK/CloudFormation) and CI/CD pipelines (GitHub Actions, Jenkins) while ensuring security and reliability.
Designs, builds, and optimizes data pipelines on Databricks and AWS to power UK healthcare systems, ensuring scalability, security, and compliance with NHS standards.
Develop and maintain ETL/ELT pipelines in Snowflake, manage data lake security and operations, and ensure data governance and performance for analytics.
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