Job
- Level
- Experienced
- Location
- Ulm
- Working Model
- Hybrid, Onsite
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
In this role, you will develop and maintain ETL data pipelines, optimize SQL and NoSQL databases, and ensure data quality through automated validation processes and testing.
Job Technologies
Your role in the team
- Development and maintenance of ETL data pipelines
- Data modeling and optimization of SQL and NoSQL databases
- Ensuring data quality through monitoring, testing, and automated validation processes
- Automation of data processes
- Evaluation of new technologies
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Our expectations of you
Education
- Degree in a STEM field or comparable knowledge in data structures and algorithms
Qualifications
- Solid knowledge of Python and common data processing libraries (e.g., Pandas, PySpark)
- Proficient in handling SQL and NoSQL databases
- Proficient handling of Git and collaborative code reviews
Experience
- Experience with ETL processes and data integration
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What we offer
- Exciting projects in attractive sectors (automotive, finance, (re)insurance)
- Family-friendly and collegial work environment with short decision-making paths and no dress code
- Flexible working hours and the possibility to work from home (one office day per week)
- Individual development and career prospects with continuous support
- Professional development, training, and certifications
- 30 days of vacation as well as special leave for special occasions
- Attractive additional benefits such as exclusive employee discounts, gym memberships/shopping vouchers, and mental health support programs
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Synpulse8 Deutschland GmbH
As part of the Synpulse Group, Synpulse8 Deutschland GmbH offers tailored software solutions for the financial and insurance sectors. The company specializes in strategic challenges in customer information management and leverages innovative technologies.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Engineer
- Location
- Ulm
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
