Job
- Level
- Junior
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Frankfurt
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop ETL processes, maintain the data infrastructure, and build efficient data models to create a scalable foundation for analytics and machine learning models.
Job Technologies
Your role in the team
- As a member of our central Data Team and in close collaboration with our Data Scientists, you will drive challenging data projects forward and implement technical solutions for business challenges.
- You develop the central data infrastructure of F.A.Z. further and build a high-performance and scalable foundation for machine learning models and dashboards.
- You support us in the development and expansion of data models, including the necessary infrastructure via CI/CD.
- You are responsible for operations, monitoring, error analysis, and debugging.
- Specifically, the following activities are part of your responsibilities:
- Development, maintenance, and optimization of ETL processes, Data Lakehouse, and data models, as well as the development of interfaces to operational systems.
- Maintenance and operation of DevOps pipelines for automated deployments.
- Support with the migration of our data infrastructure.
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Our expectations of you
Education
- You hold a degree in Computer Science, Media Informatics, Business Informatics, or a comparable qualification, and have initial professional experience in the field of Business Intelligence (BI) and/or Data Warehouse (DWH).
Qualifications
- You enjoy working interdisciplinary with other data experts in the team and appreciate working in a dynamic environment with plenty of scope for creativity – your conceptual and analytical skills, as well as your communication strengths, will benefit you in this.
- Due to your hands-on mentality and your structured, organized way of working, you prefer to work in a highly implementation- and results-oriented manner.
- You possess a quick comprehension and are driven to unlock previously untapped potential in the Data field.
Experience
- They possess a very good understanding of DWH/BI management as well as experience in handling and operating SQL databases, ETL processes, Microsoft Fabric, and programming languages (Python, Spark, SQL, etc.).
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What we offer
- With the possibility of working remotely and our flexible working hours, you can best balance your private and professional life – 30 vacation days per year provide additional relaxation.
- With our qualified training programs and exciting prospects, nothing stands in the way of your professional development.
- In a appreciative work environment, you can expect a motivated and professional team with diverse and complementary skill sets, as well as a state-of-the-art tool stack (Azure Data Factory, Databricks, Azure DevOps Server, Azure Data Lake Storage, Azure SQL Database, Analysis Services, Power BI).
- Look forward to numerous discounts and offers, such as subsidized meals in our canteen or fitness memberships, and stay environmentally friendly mobile in your free time through the Germany ticket and eCar sharing.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Faz Verlag
Die Frankfurter Allgemeine Zeitung ist eine deutsche überregionale Abonnement-Tageszeitung.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Media, Publishing
Junior Data Engineer
- Location
- Frankfurt
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
