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Data Engineer owning an Azure data platform for a climate tech hardware company, building real-time and batch pipelines with Event Hubs and Databricks to connect IoT telemetry data to business teams.
Builds and deploys AI/ML models (ML, deep learning, NLP) to solve energy industry challenges, transitioning legacy SQL reporting to Snowflake, and optimizing data pipelines for business impact.
Data Engineer designing, building and maintaining scalable data pipelines, data warehouses and cloud-based data platforms on AWS using SQL, Oracle PL/SQL and Python to support analytics and business decision-making.
The Data & AI Platform Engineer will design and develop modern data platforms, pipelines, and analytics architectures for the Swiss healthcare sector. The role involves managing data governance, integrating diverse data sources, and collaborating with AI and application teams to build robust data-driven solutions.
Build and maintain Samsara’s petabyte-scale data lake and distributed compute platform, designing ingestion pipelines, lakehouse infrastructure, and internal tooling to power analytics and AI across the company.
The Azure Data Architect will design, build, and maintain secure, scalable data processing systems using Azure, Databricks, and Spark. The role involves collaborating with data scientists to transform raw data into actionable business insights.
Design and build scalable AWS-based data lakes and ingestion pipelines, bridging data engineering and science to enable analytics and insights.
The AWS Data Architect designs and optimizes scalable data ingestion pipelines and data models using AWS services like Redshift, RDS, and DynamoDB. The role involves bridging data science and engineering teams while mentoring junior staff and participating in client workshops.
The AWS Data Architect designs and implements scalable data lake architectures and pipelines using AWS native services. The role bridges data science and data engineering to support customer data platform projects.
Azure Data Engineer bridging Data Science and Engineering in a BI-focused team, building data lake pipelines for analytics and ML using Azure, SQL, Spark/Databricks, and ETL/ELT tools.
En Changetheblock llevamos más de 7 años desarrollando software a medida, adaptado las necesidades de nuestros clientes al entorno tecnológico más óptimo. Creamos proyectos pensados para futuras ampliaciones,…
The Data Engineering Manager leads a team of engineers to design and deliver scalable data platforms and pipelines. The role involves technical leadership, stakeholder management, and the implementation of modern data practices using cloud technologies, SQL, and Python.
This role is for a Modern Data Engineer with strong software engineering skills who can build and deploy cloud-native data platforms. Key Requirements Software Engineering Strong Python development skills (primary…
Experienced Data Engineer designing, developing and operating data platforms and pipelines with a focus on Snowflake, SQL and Python within an IT consulting firm.
As a Senior Data Engineer, you will design and build modern Snowflake data platforms, develop efficient data pipelines, and consult with clients on cloud-native data architectures. You will work with technologies like Airflow, dbt, and Infrastructure as Code to deliver scalable data solutions.
Designs and implements data and AI solutions for client projects using modern data tech like Data Lake, Data Warehouse, and Machine Learning, advising on their effective use.
The Data Engineer will design, build, and maintain scalable enterprise data platforms and pipelines within the Microsoft Azure ecosystem. This role involves collaborating with cross-functional teams to deliver data-driven solutions while ensuring governance, security, and operational excellence.
Senior Data Engineer designing and maintaining enterprise data pipelines and lakehouse architecture using Microsoft Fabric, Azure, SQL Server, and Oracle Cloud Infrastructure for a large dairy cooperative.
Build and maintain batch/streaming data pipelines using Python and SQL, validate data quality, and document workflows in an Agile team.
Develop web app solutions for catastrophe exposure analysis and integrate AI technologies into the data lake at an insurance firm, using Python (FastAPI/Flask/Django), React, TypeScript, and Node.js.
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