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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.
Builds and maintains data pipelines, data marts, and foundational data models using SQL and modern data stack tools to enable reliable reporting and analytics for a clinical research and health services organization.
Data Engineer building and maintaining an on-premise Lakehouse data platform using Python, SQL, Delta Lake, and dbt-core in a regulated, hybrid environment in Brussels.
This role involves managing and validating asset management data within a Snowflake environment, focusing on reconciliation, root-cause analysis, and data lineage. The position requires strong SQL skills and experience with Aladdin to ensure data quality for downstream reporting and business operations.
Data Scientist building analytical models, data pipelines, and dashboards for DoD digital engineering programs, applying machine learning and statistical analysis to structured/unstructured data in a classified, Agile environment.
The Data and AI Engineer will manage the company's data infrastructure by maintaining an AWS Redshift data warehouse and building AI-driven analytics tools. This role involves creating ETL pipelines and developing agentic workflows to provide actionable insights for stakeholders across the restaurant group.
Leads a team of data engineers to build and maintain a modern data platform using AWS, Snowflake, and Airflow, enabling self-service analytics and governance for a restaurant booking platform operating across Europe.
Design and implement data pipelines, advanced analytics (ML/AI), and business dashboards for enterprise clients using SQL, Python, Scala, and BI tools like Power BI and Microsoft Fabric in a hybrid delivery-team setting.
Owns and scales Databricks and AWS-based data/ML platforms for a fintech firm, focusing on governance, security, and DevSecOps rather than coding.
Product Manager owning curve data capabilities (automation, integration, governance) for Zema Global's Enterprise and Marketplace products in the energy and commodities space.
Senior Security Engineer protecting hypersonic test systems, embedded devices, and telemetry pipelines from cyber-physical threats at a cutting-edge aerospace company.
The Senior Data Engineer will design and build enterprise data products using Microsoft Fabric, working across on-prem and cloud environments. The role involves collaborating with stakeholders to translate business requirements into scalable data pipelines and lakehouse solutions.
The Data Engineer will design, build, and maintain a scalable data platform and MLOps infrastructure using Microsoft Azure, Python, and Spark. The role involves automating data pipelines, implementing data governance, and deploying LLM-based workflows to support data-driven decision-making.
The Software Developer will architect and build secure backend services for a metadata management platform using Python, MongoDB, and microservices. The role focuses on delivering scalable solutions for data governance, lineage, and quality within an enterprise data environment.
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The Lead Data Steward will establish and drive the data governance framework at SAS, ensuring data quality, security, and usability across the organization. This role involves collaborating with technical and business teams to manage metadata, data lineage, and compliance policies to support AI and analytics initiatives.
Principal Industry Architect for Financial Services at Snowflake, designing data and AI-powered solution architectures for banking customers, driving adoption through executive engagement, and building repeatable industry assets using SQL, Python, and cloud platforms.
Data & Integration Tech Lead responsible for end-to-end oversight of data flows, API integrations, and data governance across a credit/banking platform, ensuring compliance, traceability, and robust monitoring of data pipelines.
Senior Data Management Business Analyst focused on data analysis, governance, integration, and warehousing using SQL and relational databases in an onsite role.
Analytics Engineer transforming enterprise data into trusted, analytics-ready datasets using Azure Databricks, Python, and PySpark to support reporting, BI, and AI initiatives at a law firm.
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