Senior Software Engineer - Analytics Data Solutions (m/f/d)

Your Tasks

• Design, develop, and maintain Google Cloud infrastructure for data analytics pipelines (e.g. ETL/ELT, data science, reporting) to process large-scale datasets
• Configure and manage infrastructure as code using Terraform​
• Develop and maintain CI/CD pipelines for analytics components and infrastructure
• Support product owners, BI experts, and data engineers in cloud engineering tasks and best practices
• implement efficient data transformation workflows using Dataform and manage workflow dependencies
• Contribute to architecture decisions by evaluating technical options, ensuring scalability, reliability, and maintainability of cloud solutions

Your Profile

• A degree in computer sciences, business informatics or comparable qualification
• Several years of professional experience in software engineering, data analytics or business intelligence
• Proven track of managing cloud infrastructure and services, ideally with hands-on experience in Google Cloud Platform, Terraform
• Experienced in data analytics for retail or consumer electronics industry, ideally with hands-on experience in SQL, python with a solid understanding of best practices and libraries
• Commonly used in data engineering. Experience with other programming languages, such as Java, is welcome and considered a plus
• Familiarity with Looker as a reporting tool, including dashboard creation and LookML development
• Extensive experience with BigQuery, SQL performance tuning, and cost optimization strategies to manage and reduce query and storage expenses effectively
• A team-oriented and communicative personality
• Proactive and solution-oriented working style
• Excellent English language skills, German is a plus
• Agile mindset

About Us

MediaMarktSaturn Technology is working to make Europe’s number-one consumer electronics retailer the technology leader in its industry. To this end, several hundred developers, UX designers and system architects using state-of-the-art technology work hand in hand with business owners in agile teams to develop customer-focused technology solutions for more than 6 million customers every day in 11 countries.

Articipation in a cross-functional community of cloud engineers and BI experts within the Analytics domain.
Contribution to the development and enhancement of a cloud-based analytics platform.
Support in the integration and implementation of scalable data use cases in collaboration with business stakeholders.
Involvement in the continuous improvement of data infrastructure and platform capabilities.
Engagement in knowledge sharing and best practices within the data and cloud engineering community.