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Senior Data Engineer (m/w/x)
Building scalable data pipelines in Google Cloud and BigQuery for global research solutions. Strong SQL and Python skills required. Collaboration with data analysts and BI developers.
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Anforderungen
- Strong SQL skills
- Data solutions on GCP, AWS, or Azure
- Experience with Python, Java, Scala, and DBT
- Designing, developing, and optimising data pipelines
- Experience with data products from source to consumption
- Data engineering best practices
- Data quality, observability, monitoring, security, governance, cost optimisation
- Agile, cross-functional teams
- Collective code ownership, CI/CD, test automation
- Production support responsibilities
- Excellent communication skills
- Stakeholder management skills
- Leading technical discussions
- Influencing technical decision-making
- Mentoring and supporting junior engineers
- Promoting engineering best practices
- Promoting continuous learning
- Understanding of distributed systems
- Understanding of modern data architectures
- Understanding of data mesh principles
- Understanding of large-scale data platforms
- Passion for automation
- Passion for continuous improvement
- Delivering user-centric data products
- Simplification and process optimisation
- Good command of English
- Ability to communicate ideas
- Ability to understand others
Aufgaben
- Design, build, and maintain scalable data pipelines in Google Cloud and BigQuery
- Collaborate with data analysts, BI developers, architects, and data governance teams
- Identify, onboard, and integrate new data sources
- Assess data quality, completeness, bias, and business value
- Develop and optimise data models, transformations, and workflows
- Monitor data pipelines and services
- Troubleshoot production issues
- Implement proactive alerting and data quality controls
- Ensure data is managed securely and in compliance with GDPR and governance standards
- Drive process improvements and self-service capabilities
- Mentor junior engineers
- Promote engineering best practices
- Contribute to the wider data engineering community through knowledge sharing
- Provide technical leadership
Berufserfahrung
Ausbildung
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Tools & Technologien
Von Nejo automatisch aufbereitet
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Zur Originalanzeige bei Springer Nature AG & Co. KGaAÜber das Unternehmen
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