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DevOps, Data Engineer – Data Science Team
Location
Germany
Posted
67 days ago
Salary
€55K - €75K / year
Seniority
Senior
Job Description
DevOps, Data Engineer – Data Science Team
TRUUCO
• As a DevOps / Data Engineer, you play a central role in building and evolving our data and platform infrastructure. • You ensure stable, scalable and automated operations, from data integration through to production run-time. • You design, develop and optimize CI/CD pipelines for data workloads and infrastructure components (Infrastructure as Code). • You implement high-performance, robust ETL/ELT processes and orchestrate production-ready data pipelines including monitoring, logging and alerting. • You ensure the stability, scalability and platform compatibility of our systems and continuously evolve our architecture according to current best practices. • You work closely with data scientists, analysts and business units to reliably deliver high-quality, production-ready data products. • You drive the development of a sustainable DataOps culture with a focus on automation, testing, versioning and quality assurance. • You evaluate new technologies in the cloud and data engineering space and introduce them selectively where they add value.
Job Requirements
- You are eager to actively contribute to the establishment and growth of a new company within the cooperative financial group and bring a true start-up mentality.
- You hold a completed degree, e.g. in (business) computer science, mathematics or a comparable technical field with a focus on data engineering / data analytics.
- You have several years of professional experience in DevOps or data engineering – ideally in a regulated environment (e.g. financial services).
- Containerization and orchestration with Docker and Kubernetes are part of your daily work.
- You have hands-on experience building and operating cloud infrastructures, ideally in the Azure ecosystem (e.g. Azure Databricks).
- You are comfortable working in agile development environments and have very good coding skills in Python and Java.
- You have experience with big data technologies such as Spark, Airflow or Kafka.
- You are familiar with monitoring and observability tools such as Prometheus or Grafana.
- You demonstrate strong analytical skills, a structured approach and a high standard of quality.
- You work independently, responsibly and as a team player, and you have German language skills at C1 level.
Benefits
- Permanent position in an innovative company with a start-up character and strong shareholders.
- A high degree of autonomy within a motivated team where you can contribute your ideas.
- A unique opportunity to help shape the data-driven sales function of the cooperative financial group of tomorrow.
- Flexible working hours, hybrid work options and modern office concepts in Frankfurt and Karlsruhe.
- Opportunities for professional development tailored to you and your career goals.
- Regular team events and get-togethers that strengthen team cohesion.
- Above-average overall conditions, such as an attractive salary with a variable, performance-related component and extensive benefits including company pension plan, capital-forming benefits (Vermögenswirksame Leistungen), WellPass, internet allowance, travel allowance and more.
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