Job
- Level
- Senior
- Job Field
- BI, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Unterschleißheim
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop end-to-end data products, optimize data models, and operate data pipelines using Snowflake, AWS, and Python to ensure reliable data for analytics and reporting.
Job Technologies
Your role in the team
- Your main focus is on the development (end-to-end) of modern data products, from connecting source systems through transformation and provisioning to production operation. You work with technologies such as Snowflake, dbt, AWS, and Python.
- You develop and optimize complex data models for high-performance and technically consistent data products used by our analysts and business units.
- In addition, you develop, operate, and optimize data pipelines to integrate internal source systems and reliably provide data for reporting, analysis, and AI applications.
- Monitoring data pipelines as well as analyzing and troubleshooting errors to ensure stability and reliability are also part of your responsibilities.
- You drive the automation of our development and deployment processes and ensure high quality and maintainability of our data products.
- You contribute to the development of our modern Data & Analytics platform and evaluate new technologies as well as best practices.
- As a Senior Data Engineer, you will be responsible for technical decisions, conduct code reviews, support colleagues with technical questions, and drive the further development of our engineering standards.
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Our expectations of you
Education
- You hold a successfully completed degree in (Business) Informatics, Mathematics, Natural Sciences, or a comparable qualification.
Qualifications
- You have already worked as a Data Engineer or in a similar role and are well-versed in ELT/ETL processes and Data Warehousing.
- A good understanding of clean architecture, data modeling, and code quality is assumed.
- You work independently, in a structured and solution-oriented manner, and enjoy translating complex technical requirements into data products.
- Excellent German and English skills complete your profile.
Experience
- You are proficient in SQL and ideally have experience in Python as well as cloud technologies (e.g., Snowflake / AWS) and modern software development processes such as Git and CI/CD.
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What we offer
- A comprehensive onboarding, a pleasant working atmosphere, and a collegial team.
- Flexible working hours and the possibility to work from home, up to 20 days per year, even from abroad within the EU.
- Opportunity for a sabbatical.
- 30 days of vacation per year, with December 24th and December 31st also being additional days off.
- Attractive salary as well as financial contributions to occupational pension schemes.
- Good accessibility by public transport as well as employee parking spaces.
- Subsidy for the Germany Ticket.
- Personal and professional development opportunities.
- Ongoing investment in the training and development of our employees.
- Subsidized company restaurant and health promotion.
- Holiday care for employees' children as well as - in cooperation with the pme Familienservice - employee support in all aspects of life.
- Regular employee events.
- Flat hierarchies, short decision-making paths, genuine scope for action and design, and the opportunity to implement your own ideas.
- Modern office spaces, innovative technologies, and agile methodologies.
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Benefits
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Topics that you deal with on the job
Job Locations
This is your employer
Baader Bank AG
Baader Bank is one of the leading partners for securities and banking services in Europe. On a high-performance platform, trading and banking come together under one roof in a unique setup, offering the best access to the capital market - secure, automated and scalable. Baader Bank is the perfect choice for investors seeking the best access to the capital market.
Description
- Founding year
- 1983
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Banking, Finance, Insurance
