Tech jobs
Job listings
Senior Data Engineer I Career Site
Senior Data Engineer responsible for designing, developing, and maintaining a scalable Databricks-based data platform to support AI and analytics across the organization. Core focus on cloud-based data pipelines, data modeling, and integration with Azure services.
Experienced Data Engineer - Innovation and Consumers, Aarhus or Gdansk
Builds and maintains data-driven solutions using Azure Databricks, PySpark, and SQL to enable business insights and decision-making for Arla Foods' innovation and consumer intelligence teams.
AI Engineer / OpenAI / Chicagoland Area
Builds and deploys production-grade generative AI solutions using Azure OpenAI, Databricks, Snowflake, Python, and FastAPI in a collaborative enterprise environment.
Web Architect & Data Platform Engineer
Own web architecture and build the data platform on Microsoft Fabric using Spark, Python, and SQL at a gene therapy company, while guiding external web agencies and handling internal system integrations.
Data Platform Engineer
Builds, scales, and maintains an Azure-based data platform using IaC, CI/CD, and cloud-native tools to enable self-service for data/product teams while ensuring reliability, security, and global scalability.
Senior Data Engineer
Designs and builds scalable Azure-based data pipelines and warehouses to power analytics and decision-making for climate-focused projects.
Senior Data Engineer
Builds and maintains production-grade ETL/ELT pipelines, lakehouse architectures, and DevOps automation for enterprise clients in aviation, banking, and retail using Python, PySpark, SQL, and cloud platforms.
Data Engineer - Commercial Data Team
Data Engineer modernising a commercial data warehouse in Azure/Databricks for an online wealth manager, enabling data-driven marketing, segmentation and personalisation.
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.
Senior QA Automation Engineer - Hybrid
Senior QA Automation Engineer (hybrid) focused on automated testing of data pipelines and data quality, using Databricks, PySpark, Python, SQL, Azure DevOps, and Azure Purview.
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…
Treasury Finance AI and Quantitative Analytics, Americas
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…
Partner Solutions Architect, AI Partnerships
Partner Solutions Architect at Stripe works with AI partners to co-solve technical challenges, drive growth, and architect monetization strategies using Stripe’s financial infrastructure and modern AI tools.
Staff Software Engineer, Machine Learning Platform
Lead the architecture and strategy for Stripe's machine learning platforms, designing scalable systems for training, serving, and agentic AI while collaborating with cross-functional teams to drive ML innovation.
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.
Solution Architect - Data Platform
Design and build enterprise-scale Azure data platforms, data warehouses, and ETL/ML solutions using Databricks, Delta Lake, and Data Lakehouse architectures, covering infrastructure, governance, security, and CI/CD.
Applied AI solutions Architect
Design and deliver production-ready AI solutions for enterprises, from RAG and LLM apps to MLOps and agentic workflows, while guiding clients from experimentation to scalable deployment.
Sr. Staff Machine Learning Systems Engineer
Own the end-to-end AI/ML evaluation infrastructure for a regulated health platform: design judges, scorers, and statistical gates to ensure models are safe and effective before reaching patients.