pAs Senior Data Engineer / Data Product Owner, you own autoSense's data products and the platform behind them, through our ETL/ELT pipelines, from stakeholder conversations and backlog refinement to hands-on development on our stack (AWS, Airflow, dbt, Snowflake, Tableau). The platformis already in place. Your job is to run it reliably, improve it, and build on it, hands-on together with the team. /p pYou talk to sales, operations, finance, management and our partners, work out what they actually need, and turn that into a clear backlog. Then you lead the delivery and take an active part in building it. You are also accountable for data security across the data platform, making sure our charging, vehicle and customer data is protected, governed and audit-ready. /p h3What you'll do /h3 h3Build and run the platform /h3 ul liOwn the pipelines: operate and evolve our ETL/ELT stack on AWS: Airbyte for ingestion, Airflow for orchestration, dbt for transformation and Snowflake as the warehouse /li liModel the data: design dbt models and Snowflake schemas that the business can rely on and understand /li liWrite production code: develop in SQL and Python, review pull requests, and debug issues across thepipeline /li liKeep itreliable: monitoring, data quality tests, incident handling, and an eye onSnowflake and AWS costs /li liLead the delivery: coordinate the work of our internal and external data engineers while building alongside them /li liUnderstand the problem: work with sales, operations, finance, management andpartners to find the real question behind a request /li liShape the backlog: translate requirements into clear user stories, help prioritise, and make trade-offs visible /li liDeliver data products: build internal and customer-facing products such as data sources for dashboards, reports, exports and APIs /li /ul h3Set standards and work across teams /h3 ul liDrive consistency: establish shared definitions, data models, documentation and engineering practices /li liWork with Engineering: align with our backend developers (Node.js, TypeScript, PostgreSQL) on source schemas, events and data contracts /li liLookafter data security: apply access control, data protection and the relevant ISO27001 controls within the data platform, and support our annual audits /li /ul h3What you bring /h3 ul li4+ years in data engineering or a closely related role /li liHands-on production experience with Snowflake, dbt and Airflow (or comparable tools) on AWS. You build it yourself, you don't just specify it /li liStrong SQL and good Python skills /li liExperience working directly with business stakeholders: you ask the right questions and explain technical trade-offs in plain language /li liA good grasp of data security and data protection in practice (e.g. access control,revFADP/GDPR) /li liFluent English; German is a strong advantage /li /ul h3Nice to have /h3 ul liProduct owner or comparable product responsibility, e.g. owning a backlog or a data product end to end /li liExperience with ISO 27001 or similar security frameworks /li liExperience with Tableau or a comparable BI tool, ideally for internal and external users /li liAbility to read and contribute to Node.js / TypeScript code /li liExperience with AI/ML or generative AI, e.g. building LLM-based features with AWS Bedrock /li liExperience in e-mobility, energy or mobility services /li liExperience building data products or APIs for external customers or partners /li /ul h3About autoSense /h3 pautoSenseAG is a fast-growing corporate start-up of the AMAG Group and Zurich Insurance, focused on charging solutions for electric vehicles. Our team brings together more than 10 nationalities and works with flat hierarchies on one of the central questions of the mobility transition: how employees and fleets can charge simply, predictably, and fairly – at home and on the road. /p h3What we offer /h3 ul liFlexible working and home-office options /li liCentral office in Zurich's Kreis 4 with access to the roof terrace /li liA wide variety of lunch options nearby /li liFair compensation and further benefits /li liThe chance to shape the data products and data foundation of a growing corporate start-up – with short decision paths and a direct line to management /li /ul #J-18808-Ljbffr
Senior Data Engineer (m/f/d) 80–100% Arbeitgeber: autoSense Inc.
autoSense Inc. ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern die Möglichkeit bietet, in einem dynamischen und innovativen Umfeld zu arbeiten. Mit flexiblen Arbeitsmodellen und einer offenen Unternehmenskultur fördern wir die persönliche und berufliche Entwicklung unserer Mitarbeiter. Unsere engagierten Teams arbeiten an spannenden Projekten, die echte Auswirkungen auf unsere Kunden haben, und profitieren von umfangreichen Schulungs- und Weiterbildungsmöglichkeiten.
