Data Infrastructure Engineer-Germany

Doodle is a B2B SaaS platform used by millions of professionals to coordinate meetings and collaborate across teams and companies. Were building the future of scheduling and productivity working on hard problems where human collaboration meets digital efficiency. We craft elegant solutions to complex problems and were looking for passionate problem solvers who share that drive.

Our product engineering and analytics teams rely on data every day to decide what we build next. As our Data Infrastructure Engineer youll bring data engineering and infrastructure together designing building and running the platforms that keep our data reliable secure and easy to use. Youll work closely with our SRE product engineering analytics and security teams to make data simpler for everyone.

• Real impact: your commits change how the world meets.

• Technical stretch: we deal with time problems most companies never meet. Our systems are high-throughput distributed and reactive by design. Its a masterclass in building systems around a moving target.

• Modern tooling: we give you the best AI and agentic tools and we expect you to use them.

• Culture of trust: we value curiosity autonomy and a balance that respects your time as much as our users.

• Build the platform: design build and operate scalable infrastructure for data ingestion transformation storage and serving. Run streaming flows with Kafka and Avro orchestrate batch workflows in Airflow and keep Redshift performant well-modeled and cost-effective.

• Run infrastructure as code: manage secure reproducible cloud environments for development testing and production with sensible cost controls.

• Keep it reliable and secure: own SLOs runbooks and alerts for critical data systems. Protect sensitive data through access controls encryption secrets management and retention policies.

• Fix problems at the root: investigate incidents lead root-cause analysis and implement preventative improvements.

• Make data easy to use: improve discoverability through cataloging lineage ownership and quality testing and build documentation tooling and self-service workflows so analytics and engineering teams can work independently.

• 2 years in data platform engineering or scalable software systems

• Kafka and Avro: schema design serialization and evolution

• Redshift and production Airflow: data modeling and performance tuning

• Cloud and DevOps: CI/CD infrastructure as code and Kubernetes plus data lakes and open table formats

• Reliability and security: observability incident response and debugging pipeline failures with a security-conscious approach to data access privacy and secrets

• Clear communication with both technical and non-technical stakeholders

• dbt: experience with it is a plus

At Doodle were committed to an environment of mutual trust and respect where equal employment opportunities are available to all applicants and teammates without regard to age race ethnic origin colour disability religion or belief gender gender identity or sexual orientation. Diversity and inclusion are of utmost importance to us. Were committed to building a team that represents a variety of backgrounds perspectives and skills. The more inclusive we are the better our work and our products will be. We want to hear from you so please dont hesitate to apply. We look forward to receiving your application.

Important notice: we can only consider applications from candidates who are based in and have the right to work in the country where this role is advertised. At this time we are unable to sponsor a visa or support relocation for this position.