Senior Data Engineer
Role details
Job location
Tech stack
Job description
- You will use various methods to transform raw data into useful data systems. For example, you'll create algorithms and conduct statistical analysis. Overall, you'll strive for efficiency by aligning data systems with business goals.
- The role includes the following:
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- Analyze and organize raw data from millions of active users
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- Build, maintain and operate data systems and pipelines on AWS
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- Evaluate business needs and objectives, map them to requirements
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- Strategically align data architecture with company needs and goals
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- Detect, investigate and interpret data trends and patterns
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- Conduct complex data analysis and report on results
Technologies:
- AI
- AWS
- Business Intelligence
- Cloud
- Hadoop
- Hardware
- Java
- Looker
- Python
- SQL
- Scala
- Spark
More:
We build the perfect shopping companions!
Our vision at Bring! Labs is to simplify daily shopping for people around the world. Our "Bring!" and "Profital" apps are used in millions of households to organize daily shopping, discover new delicious recipes and find the best local deals.
We help brands and retailers to reach out to their existing and future customers. We provide them with the most relevant advertising platform to showcase and promote their products at the right time: during the planning and execution of their household shopping.
Requirements
- We have high ambitions and the vision to change the way users and customers plan and organize shopping. For this position we are looking for someone with substantial experience in Data Engineering.
- You are the right fit if you have:
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- Professional experience in Data Engineering using cloud platforms (AWS strongly preferred)
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- Data architecture understanding and experience is a must, focused particularly around current concepts of Data Mesh architecture
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- Strong Software Engineering skills and expertise with data mining and analytics
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- Knowledge of programming languages (e.g. Scala, Python, Java)
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- Hands-on experience with SQL database design
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- Understanding, experience, and interest in the possibilities of emerging AI tooling and practices in software engineering
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- Great numerical, analytical and statistical skills
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- Business fluent in English, preferably German as well