Data Infrastructure Engineer

Doodle

. Design, build and operate scalable infrastructure for data ingestion, transformation, storage and serving .

Posted 10/8/2026full-timeRemote • Germany, SpainJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and operating scalable data infrastructure, with a strong focus on data ingestion, transformation, and security. Proficient in managing cloud environments and ensuring data reliability and performance through effective tooling and collaboration.

Highest-signal resume keywords

Data Platform EngineeringKafka and Avro ExperienceRedshift Performance TuningCloud and DevOps ExperienceIncident Response and Debugging

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationData StorageData ServingSchema DesignPerformance TuningData ModelingObservabilityIncident ResponseData Quality Testing

Soft Skills

Clear CommunicationCollaboration

Tools & Technologies

KafkaAvroAirflowRedshiftKubernetesCI/CDInfrastructure as Code

Industry Keywords

Data LakesOpen Table FormatsAccess ControlsEncryptionSecrets Management

Tech Stack

Tools & technologies

AirflowAmazon RedshiftCloudKafkaKubernetes

About the role

Key responsibilities & impact

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
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

What you’ll need

2+ years in data platform engineering or scalable software systems
Experience with Kafka and Avro, including schema design, serialization and evolution
Experience with Redshift and production Airflow, including 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
Must be based in Germany or Spain
Must have the right to work in Germany or Spain
Visa sponsorship and relocation support are not available

Benefits

Comp & perks

Best AI and agentic tools
Culture of trust and respect for employees’ time
Fully remote work arrangement
Equal employment opportunities and inclusive, diverse workplace