Job
- Level
- Senior
- Location
- Dresden
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop efficient data pipelines and automate infrastructure processes for a scalable Data Platform while integrating cutting-edge technologies in Data Engineering and Analytics.
Job Technologies
Your role in the team
- Design and further development of a scalable enterprise data platform for operation in highly secure on-premises and edge environments
- Development of automated data and infrastructure processes across the entire platform lifecycle
- Design and implementation of high-performance data pipelines for real-time and batch processing of large data volumes
- Evaluation, prototyping, and implementation of new technologies in the field of Data Engineering, Analytics, and AI
- Integration of modern container and orchestration solutions for deploying data-driven applications
- Development of platform services for data management, governance, data quality, and lifecycle management
- Analysis and implementation of innovative concepts around Data Catalogs, Data Lineage, and Data Versioning
- Close collaboration with architecture, infrastructure, platform, and security teams to develop future-proof data solutions
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Our expectations of you
Education
- Successfully completed studies in Computer Science, Data Science, Software Engineering, or a comparable qualification
Qualifications
- Solid knowledge of Kubernetes, Linux, and Cloud-Native technologies including containerization and automation
- Practical experience in the use of technologies such as Apache Spark, Kafka, Flink, Airflow, Iceberg, Dagster, or comparable Data Engineering frameworks
- Analytical thinking, high level of initiative, and the ability to pragmatically solve complex technical challenges
- Fluent in German and English, both written and spoken
Experience
- Several years of professional experience in Data Engineering as well as in the development and operation of modern data platforms
- Extensive experience with Data Lake, Lakehouse, or Streaming architectures as well as modern data platform concepts
- Very good programming skills in Python and SQL; further experience with Go, Java, or Shell scripting is an advantage
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What we offer
- Fair Pay+: Permanent employment contract/ industry-average compensation system including additional benefits, e.g., subsidies for daycare, company pension scheme, bonus system
- Participation: project responsibility & ownership / flat hierarchies / short decision-making paths / active involvement in exciting projects
- Further development: Personal & intensive onboarding / individual training & development opportunities including coaching & mentoring programs
- Flexibility: Hybrid & agile working (home office, mobile work), flexible planning and implementation of working hours & location / 30 days of vacation / focus on work-life balance
- Extras: Fitness & Wellbeing, access to the company-owned vehicle fleet & a variety of employee discounts
- Cohesion: Regular team events & celebrations / family-like company atmosphere with a focus on collegiality, team spirit & employee satisfaction
- Lived diversity: Colorful corporate culture/age mix, women in leadership positions & international colleagues
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Benefits
Work-Life-Integration
Higher Take-Home Pay
Health, Fitness & Fun
Topics You Will Work On
Job Locations
About Your Employer
ACONEXT Holding GmbH
Our name reflects outstanding competence in technology consulting and engineering. Our employees work on tomorrow's technical innovations. With a passion for technology, they develop new generations of products for the automotive industry and its suppliers.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Senior Data Engineer
- Location
- Dresden
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
