Senior Data Engineer

Vay; Berlin; Vor Ort; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A cutting-edge mobility company in Berlin is looking for a Senior Data Engineer to own and optimize critical data pipelines and models. Join a dynamic team dedicated to transforming urban mobility with a modern data stack. Successful candidates should have a strong background in SQL, cloud platforms, and data modeling. The role offers competitive compensation, stock options, and benefits like subsidized gym memberships and relocation assistance as the company expands its revolutionary services across Europe.

Leistungen

ESOP stock options

Subsidised gym membership

30% off Vay rides

Relocation assistance

Fully funded German lessons

Regular team events

Qualifikationen

• Experience owning data pipelines, data models, and products from design to production.
• Track record of building data solutions that improved product outcomes.
• Ability to write, analyze, and optimize complex SQL queries.
• Experience designing scalable, reusable data models.
• Hands-on experience with cloud data warehouses.

Aufgaben

• Own and build reliable ETL pipelines and APIs using AWS tools.
• Design and optimize data models in Snowflake.
• Define and maintain Protobuf data contracts for data interfaces.
• Manage cloud infrastructure with Terraform, focusing on automation.
• Monitor platform health and data quality using various tools.

Kenntnisse

End-to-end ownership

Impact-driven delivery

Advanced SQL

Data modeling expertise

Cloud data platforms

Infrastructure ownership

Modern data tooling

Engineering capability

Autonomous execution

Quality focus

Tools

AWS

Snowflake

dbt

Terraform

Python

Golang

Apache Kafka

NiFi/Openflow

Jobbeschreibung

Ever imagined saying, “I helped launch the future of transportation”?

We’re rewriting the rules of urban mobility. At Vay, customers tap a button and a car arrives - with no one inside - powered by our world-first on real public streets.

We’re live in Las Vegas and scaling fast, powered by a strategic investment of up to $410 million from Grab . Our mission is simple: replace private car ownership with a faster, cleaner, door-to-door mobility model. If you want to build something real, visible, and genuinely transformative, you’ll feel right at home here.

What’s happening at Vay

• First to roll out vehicles in both Europe and the USA on public roads without a human being inside & one of only two companies in the States operating a commercial driverless service.
• We've partnered with Kodiak to bring remote-driving technology to autonomous trucks in the Bay Area, showcasing our ability to integrate our system into heavy-duty commercial vehicles and expand the applications of our tech across the US.
• We’ve completed 10’s of thousands of trips so far and are busy multiplying our Las Vegas fleet just to meet demand!
• ...And soon we’ll be expanding across the US & Europe 🚀

Why this role is exciting

As a Senior Data Engineer, you’ll help us scale our pipelines alongside, while optimizing speed and efficiency having direct impact on our ability to scale our fleet of cars as we launch into new cities and markets. You will sit at the heart of the Data Analytics team in Berlin, where you’ll work closely with data producers, Data Analysts, and Data Scientists to build data products that directly impact product quality, operational efficiency, and business performance.

You’ll step into an experienced, high-calibre data team with a modern, well-designed tool stack already in place. At the same time, the platform and team have plenty of room to evolve, giving you real ownership, influence, and the opportunity to shape how data supports the company as it scales.

What you'll be driving

You’ll be a senior, hands‑on contributor at the core of our data platform, owning critical pipelines, data models, and infrastructure end to end. Your work will directly enable analytics, decision making, and product performance as we scale.

• ETL pipelines and APIs: Own and build reliable ETL pipelines and APIs across the data stack, using tools such as AWS Lambda, AWS Step Functions, GitHub Actions, Apache Kafka, and NiFi/Openflow
• Data modeling: Design, implement, and continuously optimise data models in the Snowflake data warehouse using dbt, aligned closely with the needs of Data Analysts and business stakeholders
• Data contracts: Define, negotiate, and maintain Protobuf data contracts to ensure clear and stable data interfaces between systems
• Cloud infrastructure: Manage and evolve cloud infrastructure using Terraform and GitHub Actions, with a strong focus on automation, maintainability, and scalability
• Monitoring and data quality: Monitor platform health and data quality using tools such as Grafana, AWS CloudWatch, AWS Alerts, and Apache Superset, identifying and resolving issues early
• Platform evolution: Partner with the wider data team to continuously improve the reliability, performance, and scalability of the data platform as the company grows

What are we looking for

You will be a hands‑on, Senior Data Engineer who is comfortable owning data products, models, and pipelines end to end. You will operate across the data stack, work autonomously, and focus on delivering sustainable, high‑impact solutions with quality and reusability in mind.

You will bring a strong technical foundation and the ability to integrate quickly into a small, experienced team, contributing with minimal guidance and sound technical judgement. You will have:

• End-to-end ownership: Demonstrated experience owning data pipelines, data models, and data products from design through production
• Impact‑driven delivery: A track record of building data solutions or analyses that directly improved product, operational, or business outcomes
• Advanced SQL: Ability to write, analyse, and optimise complex, high‑performance SQL queries
• Data modeling expertise: Experience designing and maintaining scalable, reusable data models using dbt or equivalent tooling
• Cloud data platforms: Hands‑on experience working with modern cloud data warehouses such as Snowflake or BigQuery
• Infrastructure ownership: Confident managing and evolving AWS and Snowflake infrastructure, ideally using Terraform
• Modern data tooling: Familiar with contemporary data platforms and ETL or reverse ETL tools such as Airbyte, Hightouch, Kafka, or NiFi/Openflow
• Engineering capability: Comfortable programming in Python, with Golang as a plus, and applying software engineering best practices in a data context
• Autonomous execution: Comfortable working independently from problem definition through delivery, without the need for close supervision
• Quality focus: Prioritise building robust, maintainable, and dependable solutions

Why choose Vay

💪 A global team of smart, motivated people from 30+ countries who love tackling hard problems and turning bold ideas into reality

🌍 Huge scope for impact in a fast paced environment

💰 ESOP stock options: A stake in Vay’s future - not just a salary

🏋️♂️ Subsidised Urban Sports Club or FitX Membership

🚗 All Vay team members receive 30% off their Vay rides

✈️ Relocation financial assistance when relocating to Berlin

📚 Fully funded German Lessons

🎊 Regular team events throughout the year

For more information on Vay’s physical demands, working environments and safety requirements, you can review thislink . We’ll also cover anything specific to this role during the first interview.

We’d love to stay connected for future opportunities, so feel free to include your LinkedIn profile when you apply.

We welcome applications from all backgrounds and experiences. If you’re excited about shaping something truly groundbreaking, we’d be happy to hear from you.

DEI @ Vay

We are aware that different dimensions but to start, we will be tracking gender and ethnicity, as it is measurable and concrete. To that end, we have started to ask all Vay applicants to anonymously share diversity information. To remove our own bias, this data is held completely separate from the application and will be held in the highest confidence. At Vay, we consider our work on diversity, equity, and inclusion to be an ongoing effort, and we welcome suggestions and comments. If you are happy to help us with our targets we would really appreciate you self‑identifying below.