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Data Engineer
As a Senior Data Engineer at NAVARA, you design and build ETL/ELT processes, optimize cloud-based data pipelines, access data from various sources, manage AWS/Azure environments, and ensure data quality for analysis, focusing on Snowflake projects and ML integration.
Data Engineer
As a Data Engineer at Xyntrel, you design and build scalable data pipelines and architectures, working with data scientists and business stakeholders to create data-driven solutions.
Data Engineer
Data Engineer at Veiligheidsregio Utrecht working on a Data Vault-based datawarehouse in Azure, focusing on improving data pipelines, monitoring, and unit testing. Core technologies include Data Vault, Azure Data Factory, SQL, and Python.
Senior Data Engineer – AI & Semantic Layer - barcelona
Design and build semantic data layers and knowledge graphs (RDF, OWL, SKOS) powering enterprise AI systems on AWS, using Python, SQL, and graph query languages (Gremlin/SPARQL/Cypher), with RAG pipelines and hybrid retrieval architectures.
Accounting AI Solutions Lead
Who we are About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments, grow…
Data Analyst, Financial Data Engineering
Designs and builds scalable financial data pipelines and models for Stripe, enabling reliable reporting and analytics for Treasury Finance and risk management using SQL, Python, and Spark.
AI Specialist, Treasury Finance Operations
Build and deploy AI agents to automate Treasury Finance workflows like cash forecasting and bank account management at Stripe, using Python, SQL, and LLM frameworks.
Manufacturing Software Engineer
Build Go microservices connecting manufacturing equipment via SCADA/OPC-UA to MES and ERP/PLM systems for a sodium-ion battery company.
Analytics Engineer
Builds and maintains enterprise data pipelines, warehouses, and semantic models in Azure to deliver trusted analytics for business users.
Senior Data Engineer
About Taskrabbit: Taskrabbit is a marketplace platform that conveniently connects people with Taskers to handle everyday home to-do’s, such as furniture assembly, handyman work, moving help, and much more. At…
Data Engineer
As a Data Engineer, you will design, build, and maintain robust data pipelines and architectures that support analytics, reporting, and business intelligence initiatives across the organization using technologies like SQL, cloud platforms (AWS, Azure, Google Cloud), and ETL/ELT tools.
Snowflake Data Engineer and Product Owner
Manages Snowflake data analytics solution as a Data Engineer and Product Owner, liaising with stakeholders, defining product vision, managing backlog, and leading Agile processes. Core tech: Snowflake.
Snowflake Data Engineer
Design and build Snowflake ETL/ELT pipelines and views to migrate legacy systems to SAP S/4HANA in the cloud.
Senior/Staff Software Engineer, Data Platform
Build and maintain Sovrn’s data pipelines and warehouse to ensure reliable, high-performance analytics for Open Web businesses using Python, Spark, Databricks, Kafka, and AWS.
Principal Consultant, Palantir Data & AI Engineer
Principal Consultant designs, builds, and deploys Palantir Foundry data pipelines and GenAI/LLM solutions for enterprise clients, translating complex business problems into production-ready AI systems.
Manager, Preconstruction Scheduling
ROLE OVERVIEW Nscale is seeking a Manager, Preconstruction Scheduling to lead project schedule development at a campus level for new builds across the company portfolio. Reporting to the Director, Preconstruction…
Data Architect, Google Cloud Platform (GCP)
Are you ready to make an impact? West Monroe is seeking a Data Architect, Google Cloud Platform (GCP) to design and deliver scalable, cloud-based data solutions for our clients. As a technical delivery leader, you will…
Sr. Solutions Engineer - Games
As a Sr. Solutions Engineer at Databricks, you lead technical customer engagements, design solutions using the Databricks platform, and demonstrate its capabilities to drive adoption, working with data teams and architects.