Senior Data Platform Engineer (all genders) - Data Lake Platform

United States Digital Space LLC; Berlin, Hamburg; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Hybrid work setup

Budget for home office

Zusammenfassung

MOIA is seeking a Senior Data Platform Engineer to shape our data lake platform and enable autonomous mobility initiatives. You will work on a serverless stack using AWS services, build event-driven pipelines, and drive data governance across teams.

You’ll collaborate with engineers and data scientists to deploy scalable, secure data solutions and mentor peers while advancing the platform’s capabilities.

Qualifikationen

• Strong programming skills in Python; experience with JavaScript/TypeScript and/or JVM language.
• Cloud-native experience (AWS Lambda, S3) deployed through IaC (CDK or Terraform).
• Solid DevOps foundation: CI/CD, containers, monitoring and alerting.
• Knowledge of data formats/concepts: Iceberg, Parquet, Protocol Buffers.
• Hands-on experience applying AI in data contexts.

Aufgaben

• Enable teams across the company to get value from data using internal tools and platform.
• Set up and govern Amazon SageMaker Unified Studio for other teams.
• Keep AWS data infrastructure available, scalable, and secure; own the operational side of what you build.
• Build and optimise event-driven ingestion pipelines with Amazon Kinesis, Data Firehose and AWS Lambda.
• Help the team grow.

Kenntnisse

Python

JavaScript/TypeScript

JVM languages

Cloud-native AWS

CDK/Terraform

CI/CD

Containers

Monitoring/Alerting

Data formats (Iceberg, Parquet, Protos

AI in data context

Tools

SageMaker Unified Studio (SMUS)

Amazon Kinesis

Amazon Data Firehose

AWS Lambda

Jobbeschreibung

Join us as a Senior Data Platform Engineer (all genders) in our Data Lake Platform team and help shape the future of autonomous mobility!

The Data Platform team ensures that all data generated at the company can be accessed and processed in our data platform. We rely on a wide variety of AWS services to build our data products and keep our stack as serverless as possible. You will work at the core of MOIAs data engine room and interact with colleagues from 10+ different Teams. We provide automation, tools, operate services and evangelize best practices so that data at the company is processed in an efficient, secure and privacy compliant way. We strive towards enabling our users to work as independently and self-sufficiently as possible.

What you will do

• Enable teams across the company to get value from data using our internal tools and platform. You'll work with engineers, analysts, and stakeholders across. You'll work with engineers, analysts, and stakeholders across different tech stacks and business domains - for a platform team. Communicating well is as important as the code we write.
• Set up and govern Amazon SageMaker Unified Studio (SMUS) for other teams, so they can work independently without us becoming a bottleneck.
• Keep our AWS data infrastructure available, scalable, and secure, and own the operational side of what you build.
• Build and optimise event-driven ingestion pipelines with Amazon Kinesis, Amazon Data Firehose and AWS Lambda.
• Help the team grow.

What will help you to fulfill your role

• You want to work as a team, not just alone: pair programming, sharing knowledge, mentoring and clear communication should feel natural in your day-to-day work rather than overhead.
• Strong programming skills in Python. Experience with the JavaScript/TypeScript ecosystem and/or a JVM language is a plus.
• Experience developing and running applications in cloud-native environments (for example AWS Lambda and S3), deployed through Infrastructure as Code with CDK or Terraform.
• A solid DevOps foundation: CI/CD, containers, monitoring and alerting.
• Working knowledge of table and data formats such as Apache Iceberg, Parquet, Protocol Buffers.
• Hands-on experience applying AI in a data context: to speed up your own development, to automate routine work, and to help others do the same.

Nice-to-Haves:

• Exposure to data governance, GDPR and data privacy engineering.
• Experience with SQL in both analytical and transactional databases.
• Familiarity with orchestration frameworks for data pipelines, such as Apache Airflow.
• Experience designing and building (data) APIs.

We welcome applicants from diverse backgrounds- even if you don’t meet every requirement. If you’re excited about the role and the company’s mission, we’d love to hear from you!

Our benefits in a nutshell

• Competitive salary (including bonus)
• Hybrid work setup: Work from home or one of our offices - you and your team decide how often to meet, blending flexibility with collaboration!
• Flexible working hours and the possibility of flexible work arrangements depending on your needs (parenting, care work, volunteering, etc.)
• Budget and monthly expense allowance for home office setup
• Possibility of remote work from outside Germany for up to 6 weeks per year from over 35 countries - learn more in our blog!
• Public transport ticket (fully subsidized "Deutschlandticket") for commuting and travelling throughout Germany and discount on the company rides
• Subsidized fitness club membership or bike leasing
• Learning environment with continuous learning days, job rotation, trainings and workshops, coaching, conferences, books, and language classes
• Mental health support, 1:1 sessions with external professionals and mental unload workshops
• 30 vacation days, sabbatical and unpaid leave option
• Relocation support with service provider (visa, administration, etc.)
• Dog-friendly offices

For student & internship positions, we have an adjusted set of benefits. You can find them here.

Be who you are!

We are a member of Charta der Vielfalt and are dedicated to actively fostering a workplace that celebrates and promotes diversity in various aspects such as age, gender identity, race, sexual orientation, physical or cognitive ability, and ethnicity. At the company, we embrace a culture where people are accepted, respected, valued, appreciated, and included.

In our commitment to promoting diversity and inclusivity, we regularly provide unconscious bias training to all our employees. Furthermore, we continuously strive to enhance our hiring process by ensuring a diverse hiring panel.

How we work

At the company, our teams are typically distributed across our office locations and collaborate in a hybrid setup. We work together both remotely and on site, choosing the mode of collaboration that fits the context, the work at hand, and each team’s rhythm.

Spending time together in our offices is an important part of how we stay connected, build trust, and solve complex problems. At the same time, we value flexibility and give teams and individuals autonomy to shape their ways of working, with everyone having the freedom to organise their routines in a way that aligns with their work and their team’s needs.

If you’d like to learn more about how we work, visit our blog for insights into our culture and hiring process, or follow us on Instagram for a look behind the scenes at the company.

Who we are

At the company we’re reimagining the future of mobility – safe, autonomous and tailored to the needs of cities and their people. As a tech company with more than 400 employees, we build mobility solutions that truly move cities forward.

We launched our ridepooling service in Hamburg in 2019 and have been part of the city’s public transport system since 2023. Since launch, we have transported over 12 million passengers. Currently, the company is evolving from a mobility provider to a tech provider offering a scalable and safe turnkey solution for autonomous driving.

With office locations in Berlin and Hamburg, our diverse and international team comprising more than 60 nationalities works together toward that shared mission.

the company is more than a technology provider - we are a partner to cities and public transport operators committed to creating more livable spaces and delivering mobility solutions that are reliable, safe and comfortable.

Your application to the company

We value authenticity and personal insights in your application responses. While AI tools can be useful, we encourage you to answer the following questions based on your own experiences and understanding. This helps us keep a human touch and better evaluate your unique perspective and match for the role.

To reinforce an unbiased screening process, we kindly ask you not to include your picture, age, address, or any other details unrelated to your qualifications and suitability for the role. Additionally, we anonymize applications during the initial review phase by removing personally identifiable information. This ensures that our evaluation focuses solely on your skills, experience, and potential – supporting a fair and inclusive hiring experience for all candidates.