Remote Fullstack Engineer role based in Germany combining ~60% backend and ~40% frontend work. Own features end-to-end for data-intensive applications: build and optimize graph systems to visualize fraud rings, develop performant search tools, implement production data pipelines and data modeling, and collaborate with Design, Data, Product and Account teams. Core stack listed: TypeScript, Node.js, React, Go.

Work on developing and improving MongoDB's distributed query execution system: implement and maintain execution algorithms, add query-language features, tune performance, and build diagnostics. Requires strong systems programming experience (5+ years), C++ or similar compiled-language experience, and solid CS fundamentals.

Role owns technical design and delivery of multi-component AI systems across Search, Places, Location and Navigation Intelligence, and Platform. Responsibilities include defining product behavior and evaluation frameworks for non-deterministic systems, building data pipelines (ingestion, conflation, entity resolution, batch/streaming jobs), instrumenting and running continuous evaluations, designing model/tool boundaries and model harnesses, and participating in on-call rotation. Required: Bachelors in STEM, 5+ years software engineering, 2+ years shipping LLM-backed features, strong Python or TypeScript, SQL and distributed processing experience, and expertise in tool calling/agent orchestration.

Lead a team of 8 leads overseeing 500–800+ curators to own and optimize the data curation engine for the Link Key People product. Responsibilities include process optimization, operationalizing AI, KPI tracking (quality and efficiency), coaching leads, quality control, and executing product/technology rollouts. Requires 3+ years people management and fluency in English.

Veeva is hiring a Data Product Manager for OpenData Europe to own end-to-end product strategy, data sourcing and transformation, and to lead cross-functional squads building scalable data products. The role requires 2+ years in data analytics or product management, strong SQL skills, a quantitative bachelor's degree, fluent English (C1+), and ~10% travel; the position is fully remote in the UK, Germany, or Spain.

Senior/lead role based in Berlin for Veeva's Link Key People product. Translate customer needs into development initiatives, drive and coordinate cross-functional product and data work (collection, quality improvement, visualization), develop requirements and feature specifications, and support customer-facing teams. Requires 8+ years professional experience and 5+ years in data and software product development. Compensation range: 75,000–120,000 EUR total.

Veeva seeks an MDM Technical Architect to design and deliver MDM architectures using Veeva Network and related platforms, own enterprise project delivery from scoping through post-go-live support, collaborate with business and technical stakeholders, produce technical documentation, and provide technical leadership. Requires 5+ years in MDM, data integration, and governance, hands-on experience with platforms such as Veeva Network/Informatica MDM/Reltio, strong data modeling, integration (SOAP/REST), data quality skills, and excellent English communication. Role is remote (Germany) with travel as needed.

Lead a 6–8 person team responsible for configuring crawlers, extracting website data, ensuring data quality, and delivering reports to Veeva's data platform. Requires 3+ years leading a technical team, hands-on experience building scalable crawlers, knowledge of Python configuration scripts, version control and code review practices; experience with tools like Mozenda/Zyte and Redshift is a plus.

Prezi is hiring a Senior Data Analyst to join the Data Science & Analytics team (remote across listed European countries). The role involves end-to-end analyses (requirements, data processing, presentation), building dashboards and data products, defining metrics, quantifying impact, fostering self-service analytics, and collaborating with data engineering. Required: 5+ years in data/business analytics, proficiency in SQL and Python (or other scripting), experience with statistical analyses (funnel analysis, clustering, forecasting, recommender systems), dashboard building, strong English communication, and interest/experience in AI tools. Bonus experience: AWS, ETL pipelines, SaaS analytics, personalization/recommendation work.