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Senior Data Engineer(m/w/x)
Designing and developing scalable data pipelines for AI/software solutions at global enterprise clients, collaborating with Data Scientists. Technical leadership and hands-on cloud data platform experience expected. Exposure to cutting-edge AI/data tech for global enterprises.
Requirements
- Relevant work experience of at least 5 years
- Sound knowledge of programming languages
- In-depth knowledge of data processing frameworks
- Hands-on experience with cloud-based data platforms
- Experience in providing technical leadership
- Knowledge of developing machine learning models
- Experience in project management using agile methodologies
- Familiarity with DataOps and DevOps concepts
- Experience implementing data quality frameworks
Tasks
- Design and develop scalable data pipelines.
- Evaluate and implement new data engineering technologies.
- Support customers in accessing necessary data.
- Collaborate with Data Scientists and Analysts on data sources.
- Share expertise and contribute to team knowledge.
- Develop and maintain documentation on data processes.
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Java
- Scala
- Hadoop
- Spark
- Kafka
- Apache Spark
- Apache Flink
- Azure
- AWS
- GCP
- Databricks
- SAFe
- Scrum
- Kanban
Benefits
Mentorship & Coaching
- Professional and personal growth
Flexible Working
- Flexible work-life balance
Sustainability Focus
- Diversity and sustainability engagement
Other Benefits
- Comprehensive benefits package
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Senior Data Engineer(m/w/x)
Designing and developing scalable data pipelines for AI/software solutions at global enterprise clients, collaborating with Data Scientists. Technical leadership and hands-on cloud data platform experience expected. Exposure to cutting-edge AI/data tech for global enterprises.
Requirements
- Relevant work experience of at least 5 years
- Sound knowledge of programming languages
- In-depth knowledge of data processing frameworks
- Hands-on experience with cloud-based data platforms
- Experience in providing technical leadership
- Knowledge of developing machine learning models
- Experience in project management using agile methodologies
- Familiarity with DataOps and DevOps concepts
- Experience implementing data quality frameworks
Tasks
- Design and develop scalable data pipelines.
- Evaluate and implement new data engineering technologies.
- Support customers in accessing necessary data.
- Collaborate with Data Scientists and Analysts on data sources.
- Share expertise and contribute to team knowledge.
- Develop and maintain documentation on data processes.
Work Experience
- 5 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Java
- Scala
- Hadoop
- Spark
- Kafka
- Apache Spark
- Apache Flink
- Azure
- AWS
- GCP
- Databricks
- SAFe
- Scrum
- Kanban
Benefits
Mentorship & Coaching
- Professional and personal growth
Flexible Working
- Flexible work-life balance
Sustainability Focus
- Diversity and sustainability engagement
Other Benefits
- Comprehensive benefits package
About the Company
dda diconium data GmbH
Industry
IT
Description
The company focuses on creating value from software, data, and AI, supporting global leading companies in maximizing the impact of digital efforts and delivering solutions with measurable business impact.
Not a perfect match?
- 4flow SE
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Friendsurance
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Zoi
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeManagementStuttgart, Berlin - RepRisk AG
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin - Arsipa GmbH
Senior Data Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin