Job
- Level
- Experienced
- Job Field
- IT, DevOps, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Frankfurt, Münster (Hessen), Hanover
- Working Model
- Onsite
Job Summary
In this role, you ensure the stable operation of the container-based Data Lakehouse platform, optimize performance, implement monitoring solutions, and oversee security measures and incident management.
Job Technologies
Your role in the team
- We operate the central analytics platform of Finanz Informatik, providing high-availability data services to internal and external clients, including group partners and savings banks.
- Based on a container-based Data Lakehouse, we enable scalable analytics at the petabyte scale.
- Our goal is the continuous optimization of performance, security, and operational reliability so that our clients can always make well-informed decisions.
- Platform & Lakehouse Operations: Ensuring stable operation, orchestration of the container environment, and performance optimization of the Data Lakehouse, including technical collaboration with existing in-memory databases.
- Data Security & Deployment: Operational management and deployment of the data security solution as well as ensuring professional certificate management.
- Data Science & MLOps Platform: Operation and domain-specific support of a platform that enables our clients to have direct access to data and modern analytical tools.
- Observability & Monitoring: Continuous improvement of monitoring mechanisms to proactively ensure system availability and performance.
- Automation & Incident Management: Design of deployment pipelines as well as troubleshooting complex disruptions through in-depth domain-specific analyses.
- Consulting & Coordination: Convincing stakeholders on infrastructure topics as well as providing technical leadership to employees for defined subject areas.
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Our expectations of you
Education
- Completed degree in a relevant field (Computer Science, Business Informatics, Engineering, or a comparable qualification).
Qualifications
- Knowledge in implementing monitoring and alerting systems (e.g., Prometheus, Grafana) as well as proficient handling of scripting languages (e.g., Python, Shell) and deployment pipelines (e.g., Ansible).
- Very good written and spoken German skills (Level C1).
- Willingness to occasionally travel for work, depending on the assignment location, as well as readiness to take on on-call duties and special assignments.
Experience
- At least 2 years of relevant professional experience in operating containerized environments, ideally with OpenShift.
- Experience in operating data security solutions (ideally Protegrity) as well as solid knowledge in handling digital certificates (PKI).
- Experience in the administration or operational management of modern Data Lakehouse architectures (e.g., Starburst, Lakekeeper) and their interaction with in-memory databases (e.g., Exasol).
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What we offer
- We welcome applications from all candidates regardless of gender, age, disability, religion, ethnic origin, or sexual orientation, quoting reference number 631/B.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
Higher Take-Home Pay
Food & Drink
Topics You Will Work On
Job Locations
About Your Employer
Finanz Informatik GmbH & Co. KG
Finanz Informatik is a leading IT service provider for the Sparkassen-Finanzgruppe, headquartered in Frankfurt am Main. We serve 385 savings banks, six state banks and numerous other customers from the financial sector. Our goal is to provide our customers with the best possible technological infrastructure so that they can successfully achieve their business goals.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
Total
(1 Review)3.5
Culture
3.5Engineering
3.0Career Growth
3.2Workingconditions
4.4
Data Platform Ops Engineer
- Location
- Frankfurt, Münster (Hessen), Hanover
- Working Model
- Onsite
- Diversity
- Open for all genders
