Job
- Level
- Senior
- Location
- Dresden
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Salary
- 65.000 to 97.000€ gross/year
Job Summary
In this role, you will develop a local data platform, including data orchestration and streaming pipelines on Kubernetes, create proof-of-concepts with AI tools, and integrate workloads on edge data management systems.
Job Technologies
Your role in the team
- The focus of this position is on the design and development of a local data platform - including data orchestration, streaming pipelines, Kubernetes-based workload integration, and platform automation.
- We are looking for a Cloud-Native Developer who is familiar with Linux, containers, and Kubernetes, and can contribute their own ideas for building edge data management platforms without dependencies on public clouds.
- Contributing to the design and development of a local data platform.
- Development and integration of components for data orchestration, deployment, and platform automation.
- Independent development of proof-of-concepts using AI agent tools such as Cursor.ai.
- Implementation of batch and streaming data pipelines as well as platform-related services.
- Integration of workloads on Kubernetes and in S3-compatible storage solutions.
- Investigation of data catalogs, data versioning, and their integration into the platform.
- Close collaboration with lead architects as well as infrastructure and security teams
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Our expectations of you
Education
- Completed degree in Computer Science or a comparable qualification and several years of professional experience as a Data Scientist
Qualifications
- Practical knowledge of Python, Golang, SQL (MPP), Bash, and Java.
- Solid Cloud-Native expertise in Linux containers and Kubernetes; own ideas for building edge data platforms without public cloud.
- Excellent German and English skills (spoken and written)
Experience
- Several years of experience with Kubernetes and Kubernetes infrastructure as well as with Linux operating systems.
- Practical experience with modern data platform architectures such as Kappa or Medallion with batch and low-latency streaming pipelines.
- Experience with a significant portion of the following tools and technologies: S3 (Object Storage), Apache Iceberg, GitOps workflows, NATS.io, Risingwave, Dagster, Apache Spark, Apache Kafka, Apache Flink, Apache Airflow
- Ideally, experience with Cursor.ai and other AI programming tools in daily development work, as well as with low-level performance concepts: NUMA and Core Pinning.
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What we offer
- Gross annual salary all-in: €65,000-€97,000
- Home Office: up to 40% after onboarding
- Weekly working hours: 40 hours
- You are welcome with us regardless of personal characteristics such as cultural and social background, gender, or age.
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Benefits
Higher Take-Home Pay
Work-Life-Integration
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
Valentum Engineering GmbH
We at alentum Engineering have successfully established ourselves with our intelligent hardware and software solutions in information technology. We are active in all development phases - from specification to testing and software development to visualization. Our customers benefit from our many years of experience in the automotive industry in the areas of information security, IT infrastructure and digitization.
Description
- Company Size
- 1-49 Employees
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Employer reviews
by devworkplaces.com
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(1 Review)Career Growth
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4.4Engineering
3.1Culture
3.6
Senior Data Engineer
- Salary
- 65.000 to 97.000€ gross/yearEstimated net salary based on the gross salary in the job ad using tax class I.40.091 to 56.628 € net/year · Tax class I
- Location
- Dresden
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
