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Cloud Data Engineer building scalable data platforms, ETL/ELT pipelines in Azure Databricks, and data models while collaborating with BI and Data Science teams in Kraków.
Builds and maintains scalable data pipelines on Databricks and Apache Spark, integrating diverse data sources and optimizing for performance and cost.
Lead Azure-based data engineering projects for clients, designing pipelines, mentoring teams, and ensuring technical/business alignment while coding daily.
***English version below*** Ingénieur Analytique Description du poste Nous sommes à la recherche d’un ingénieur analytique qui souhaite se joindre à notre équipe diversifiée et en pleine croissance à Montréal. Le…
A career as a Chief Developer in Data Engineering within the Data Strategy team in the Business Performance, Evolution and Processes sector at National Bank means acting as an analytical data specialist. Leveraging…
Location: Remote – Alberta, Canada Employment Type: 1-Year T4A Contract (Potential for Extension) About the Opportunity We are hiring on behalf of our client for a Senior Data Engineer to join their team on a 12-month…
Ironclad is the leading AI contracting platform that transforms agreements into assets. Contracts move faster, insights surface instantly, and agents push work forward, all with you in control. Whether you’re buying or…
Designs and maintains scalable data pipelines and infrastructure to ensure accurate, secure, and accessible data for global healthcare analytics, collaborating with cross-functional teams to drive insights and improve research outcomes.
Lead Data Engineer responsible for designing, building, and optimizing Snowflake-based data pipelines, DBT models, and governance frameworks to enable enterprise analytics and AI initiatives. Focuses on cloud data platform modernization, metadata management, and cross-team collaboration.
Senior Data Engineer designing and implementing scalable GCP data architectures, including DWH/Datalake solutions, ETL pipelines, and infrastructure as code for an IT consulting firm.
Builds and maintains scalable data pipelines, dimensional models, and graph-based solutions (Neo4j/Cypher) to integrate, transform, and analyze financial transactional/operational data for business decision-making.
Builds and leads fraud detection systems to protect Audible’s global marketplace from abuse, piracy, and fraud via rule engines, ML models, and real-time data pipelines.
Senior Data Scientist & Engineer builds and owns data infrastructure, trains and deploys LLM-based and traditional ML models, and analyzes product usage to drive AI-powered HR compliance decisions for a SaaS global employment platform.
The Principal Data Scientist will build and own data infrastructure, develop LLM-based and traditional machine learning models, and analyze product usage to drive product strategy for G-P's AI-powered HR agent, GIA. This role requires a versatile expert capable of handling data engineering, data science, and product analytics in a fast-paced, startup-like environment.
Make a difference here. UltraViolet Cyber is a leading platform-enabled unified security operations company providing a comprehensive suite of security operations solutions. Founded and operated by security…
The Senior Data Engineer will design, build, and maintain scalable data pipelines and models to support operational decision-making and analytics. The role involves working with cloud platforms like Snowflake, Python, and SAS to improve data platform standards and quality.
Architect scalable data processing and analytics solutions, drive architectural discussions, define blueprints and standards, and lead cross-functional teams delivering BI reporting and dashboards using EDW, data modeling, ETL/ELT, and cloud platforms (Azure/AWS/GCP).
Lead Data Platform projects on GCP, designing scalable data architectures, Data Warehouses, and Data Lakes while managing teams and stakeholders.
Data Engineer working on ETL/ELT pipelines, distributed data architectures and data stack modernization using SQL, Python, PySpark, Microsoft Fabric, Databricks and Azure Data Services.
Design, build, and optimize data pipelines and ETL/ELT processes across SAP and non-SAP sources, contributing to BI, analytics, AI, and cloud data platforms on a 12+ month contract.
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