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Configure, administer, and evolve an Enterprise Data Governance Catalog (EDGC) SaaS platform—setting up data products, glossaries, lineage, and stewardship workflows—while collaborating with business, architecture, and data-engineering teams in a fully remote role.
Build and scale Adyen’s real-time OLAP and big-data platforms (Druid, FastAPI, Java, Kafka) to support thousands of daily jobs and petabytes of data for payments and financial products.
Build and scale Adyen’s on-premise big-data platforms (500+ nodes, 23+ PB storage) to support thousands of daily jobs, focusing on OLAP tools like Druid, FastAPI, Java, and Kafka.
Designs and manages the company’s data architecture, including real-time streaming, data lakes, and AI-ready infrastructure, for a trading-focused analytics platform.
The Senior Data Engineer will design, develop, and maintain scalable cloud-based data pipelines and products using Azure Databricks, PySpark, Python, and SQL. Working within an Agile DevOps team, the role focuses on building robust ETL/ELT processes and optimizing data platform architecture.
Lead a team designing a canonical data platform for a media client, focusing on data discovery, modeling, and mapping legacy datasets to a unified structure. Work with stakeholders to define data semantics, resolve inconsistencies, and translate models into actionable engineering plans.
The Data Engineer will support the organisation's data and analytics modernisation program by designing and maintaining scalable data pipelines, Lakehouse, and Warehouse solutions using Microsoft Fabric. The role involves integrating complex clinical and operational data sources to enable trusted insights and reporting.
The Principal Data Scientist leads the data science team at Central Health, overseeing the development of predictive models for population health and clinical decision support. This role ensures scientific rigor and ethical AI governance while leveraging cloud platforms like Azure and Snowflake to drive actionable healthcare insights.
Lead the architecture and implementation of a knowledge-graph-centered data platform that unifies AI/ML workflows, storage, and compute for autonomy systems in defense and robotics.
Business Analyst translates regulatory reporting needs into data solutions, ensuring compliance and aligning local requirements with group standards while migrating to a modern cloud-based platform.
Designs and maintains finance data products for Credit Card and Connected Commerce, automating reports with SQL, Excel, and cloud tools like Databricks and ThoughtSpot.
Build and maintain scalable data pipelines, cloud platforms, and AI/ML Ops solutions for a global financial firm, ensuring data quality, governance, and reliability across business units.
The Senior Database Developer will design, develop, and optimize enterprise-grade database solutions on SQL Server and AWS (RDS/EC2) to support life sciences operations. The role involves leading technical architecture, ensuring regulatory compliance (GxP, HIPAA), and collaborating with cross-functional teams to manage clinical and commercial data.
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The QA Automation Engineer will ensure the accuracy and reliability of investment calculation services by performing data quality analysis and developing automation frameworks. The role involves using Python and SQL to validate large datasets across AWS-hosted and on-premises systems.
As a Business Analyst Regulatory Reporting, you analyze business and IT requirements within the Finance and Regulatory Reporting domain, support technology-enabled solutions, and work with stakeholders to ensure efficient, compliant regulatory reporting processes.
The Data Engineer will design and implement scalable data pipelines, data warehouses, and semantic models to support enterprise analytics in the healthcare domain. The role involves leveraging AWS cloud services, Power BI, and dimensional modeling to ensure data governance and high-performance reporting.
Domain Architect for NN Group's Finance domain, designing and maintaining architecture for capabilities like General Ledger, Reporting, and Treasury, guiding migration to a standardized SAP S4/HANA landscape using TOGAF/ArchiMate methodologies.
Build and own RAG pipelines, vector/embedding infrastructure, and data ingestion systems for an Agentic ERP Platform using Python, PostgreSQL with pgvector, Snowflake, and modern AI/ML retrieval techniques.
Design and govern the enterprise data governance ecosystem architecture—including metadata management, data quality, lineage, knowledge graphs, GenAI applications, and agentic workflows—at PNC's Data and Automation organization using GenAI, Iceberg, APIs, and automation technologies.
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