Dein persönlicher KI-Karriere-Agent
Designing and maintaining Airflow DAGs for data transformation and testing integrations. Strong SQL and Linux command line skills required. Lifelong learning and personal development support.
Deine Match-Analyse
Warum dieser Job zu dir passt
Mögliche Lücken
Tipps für deine Bewerbung
Anforderungen
- Strong SQL skills, ability to write, tune, troubleshoot complex queries
- Experience with data transformation tools (dbt, SQLMesh, or similar)
- Turning raw data into clean, tested, documented models
- Solid Linux command line experience
- Comfortable working in Linux terminal
- Troubleshooting Linux environment issues
- Hands-on Kubernetes experience
- Hands-on Helm charts experience
- Hands-on Docker experience
- Containerization tooling experience
- Deploying, running, troubleshooting containerized workloads
- Database management experience
- PostgreSQL experience (ideally)
- MySQL experience (ideally)
- Tuning and maintaining relational databases
- Investigating performance and data issues
- Strong CI/CD pipelines experience
- Strong Git experience
- Shipping changes safely
- Collaborating through code review
- Clear version control practices
- Experience working with AI
- Writing skills or tools for AI systems
- Applying AI to improve engineering and data workflows
- Reviewing quality of AI outputs
- Building agents to automate workflows and processes
- Strong Python development experience
- Alternatively, another object-oriented programming language experience
- Writing clean, maintainable code
- Automating and extending data tooling
- Strong prioritization skills
- Practical approach to changing priorities
- Balancing planned improvements with operational issues
- Communicating trade-offs
- Staying focused during incidents
- Excellent English communication skills
- Working effectively with diverse backgrounds
- Explaining decisions
- Challenging ideas constructively
- Openness to other perspectives
- 4+ years data operations experience
- 4+ years data engineering experience
- 4+ years data platform operations experience
- Building and maintaining data pipelines
- Supporting production data infrastructure
- Apache Spark experience for large-scale data processing
- Trino SQL experience for large-scale data processing
- Good understanding of networking
- Troubleshooting connectivity issues
Aufgaben
- Design, implement, and maintain test automation frameworks
- Collaborate with cross-functional teams to validate service integrations
- Test products and systems
- Optimize testing strategies
- Design, build, and maintain Airflow DAGs
- Design, build, and maintain data ingestion pipelines
- Design, build, and maintain dbt pipelines
- Maintain Kubernetes namespaces
- Maintain Trino and Airflow clusters
- Manage multiple environments end-to-end
- Coordinate with the SRE team on infrastructure and deployment
- Work with the Backend team on shared architecture decisions
- Expand monitoring and alerting setup
- Prepare internal metrics for system health visibility
- Assist with user-reported bugs
Berufserfahrung
Ausbildung
Sprachen
Tools & Technologien
Benefits
- Lifelong learning
- Personal development support
- Regular feedback
- Regular team events
- Team parties
- Hybrid working model
- Flexible working hours
- Work from abroad (EU)
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens EQS Group erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Zur Originalanzeige bei EQS GroupÜber das Unternehmen
EQS Group is a leading international cloud software provider in compliance, data privacy, and investor relations.
eqs.comNejo bewertet ihn, und bringt ihn danach gemeinsam mit dir in Bestform.
Noch nicht perfekt?
- Aily LabsSenior Data Practitioners (m/w/x)Vollzeitmit HomeofficeSeniorMünchen
- Scalable CapitalSenior Data Engineer (m/w/x)Vollzeitmit HomeofficeSeniorMünchen
- FINNSenior Data Analyst - Operations (m/w/x)Vollzeitmit HomeofficeSeniorMünchenab 84.000 / Jahr
- CirconomitSenior Software Engineer, Data (m/w/x)Vollzeitmit HomeofficeSeniorBerlin, Köln, München, Stuttgart
- finanzen.net GmbHSenior Data Engineer (m/w/x)Vollzeitmit HomeofficeSeniorKarlsruhe, Berlin, München