Senior Data Engineer
Senior Data Engineer / Data Product Owner at autoSense AG in Zürich owns the company's data products and platform: running and improving ETL/ELT pipelines on AWS (Airbyte, Airflow, dbt, Snowflake), modeling data, writing SQL/Python, and turning stakeholder needs into a delivered backlog. Also accountable for data security and ISO 27001 controls across the platform.
- Compensation
- Not disclosed
- Location
- Zürich, Switzerland
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 4+ years in data engineering or a closely related role
- Hands-on production experience with Snowflake, dbt and Airflow (or comparable tools) on AWS
- Strong SQL and good Python skills
- Experience working directly with business stakeholders
- Good communication skills for stakeholder exchange
- Practical grasp of data security and data protection (access control, revFADP/GDPR)
- Fluent English
Nice to have
- German language skills
- Product owner or comparable product responsibility (owning a backlog or data product end to end)
- Experience with ISO 27001 or similar security frameworks
- Experience with Tableau or a comparable BI tool
- Ability to read and contribute to Node.js / TypeScript code
- Experience with AI/ML or generative AI, e.g. building LLM-based features with AWS Bedrock
- Experience in e-mobility, energy or mobility services
- Experience building data products or APIs for external customers or partners
Full description
Als Senior Data Engineer bei autoSense AG gestalten Sie innovative Datenprodukte. Sie profitieren von einem dynamischen Team und einem spannenden Arbeitsumfeld.
Aufgaben
- Sie betreuen ETL/ELT-Pipelines auf AWS und verbessern diese.
- Sie modellieren Daten und entwickeln in SQL und Python für die Plattform.
- Sie arbeiten eng mit Stakeholdern zusammen, um Anforderungen zu klären.
Fähigkeiten
- Mindestens 4 Jahre Erfahrung in der Datenverarbeitung und -sicherheit.
- Fundierte Kenntnisse in Snowflake, dbt und Airflow.
- Gute Kommunikationsfähigkeiten für den Austausch mit Stakeholdern.
The Role:
As 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 platform is already in
place. Your job is to run it reliably, improve it, and build on it, hands-on together with the team.
You 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.
What you'll do:
- Build and run the platform
- Own 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
- Model the data: design dbt models and Snowflake schemas that the business can rely on and understand
- Write production code: develop in SQL and Python, review pull requests, and debug issues across the pipeline
- Keep it reliable: monitoring, data quality tests, incident handling, and an eye on Snowflake and AWS costs
- Lead the delivery: coordinate the work of our internal and external data engineers while building alongside them
- Turn needs into data products
- Understand the problem: work with sales, operations, finance, management and partners to find the real question behind a request
- Shape the backlog: translate requirements into clear user stories, help prioritise, and make trade-offs visible