Data Infrastructure Engineer

🔥 0 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Doodle

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

💰 Series A on 2008-01

Consulting • Marketing • Logistics

Doodle is the simplest way to schedule meetings and events. It allows users to create polls with various date and time options, enabling participants to select their preferences and effortlessly schedule gatherings. Doodle's features include event scheduling, 1:1 scheduling, customer appointment booking, and a group decision tool. With millions of users, it automates scheduling efforts, allowing individuals to focus on what matters most. The company is headquartered in Zurich and has additional offices in Atlanta, Berlin, and Belgrade.

📋 Description

• 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 • Keep Redshift performant, well-modeled and cost-effective • Manage secure, reproducible cloud environments for development, testing and production with sensible cost controls • Own SLOs, runbooks and alerts for critical data systems • Protect sensitive data through access controls, encryption, secrets management and retention policies • Investigate incidents, lead root-cause analysis and implement preventative improvements • Improve data discoverability through cataloging, lineage, ownership and quality testing • Build documentation, tooling and self-service workflows for analytics and engineering teams • Collaborate with SRE, product, engineering, analytics and security teams

🎯 Requirements

• 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 experience: CI/CD, infrastructure as code and Kubernetes • Experience with data lakes and open table formats • Reliability and security experience: observability, incident response and debugging pipeline failures • Security-conscious approach to data access, privacy and secrets • Clear communication with technical and non-technical stakeholders • Experience with dbt is a plus • Must be based in Germany and have the right to work in Germany • Visa sponsorship and relocation support are unavailable

🏖️ Benefits

• Real impact: your commits change how the world meets • Technical stretch working with high-throughput, distributed and reactive systems • Modern AI and agentic tools • Culture of trust with autonomy and respect for personal time • Equal employment opportunities and an inclusive, diverse workplace • Fully remote work arrangement