Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg, Bremen
- Working Model
- Onsite
Job Summary
In this role, you develop data pipelines in Microsoft Azure, integrate structured and unstructured data, optimize ETL processes, and ensure data quality for BI applications and analytics.
Job Technologies
Your role in the team
- Do you love building reliable, high-quality data pipelines from scattered data sources? As a Data Analytics Engineer, you are responsible for the development and operation of modern data platforms. Your focus is on data integration, data quality, automation, and providing consistent and robust data for reporting and analysis purposes.
- Design, development, and operation of scalable Data Engineering pipelines in Microsoft Azure.
- Development and maintenance of ETL/ELT processes with Azure Data Factory and other Azure services.
- Integration of structured and unstructured data from various source systems.
- Development of Python-based solutions for data validation, data quality assessment, and automation.
- Provision of analytically usable data for Power BI, Data Analytics, and other business applications.
- Optimization of existing data pipelines in terms of performance, stability, and scalability.
- Development of standards for data governance, data quality, and data management.
- Implementation of monitoring, logging, and error handling mechanisms.
- Collaboration with BI teams, Data Analysts, and business units to implement data-driven use cases.
- Ensuring a reliable and future-proof data architecture.
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Our expectations of you
Qualifications
- In-depth knowledge of Azure Data Factory as well as other Azure data services.
- Very good Python skills, ideally for data validation and automation.
- Understanding of data governance and data quality standards.
- Knowledge in monitoring, logging, and error handling in data pipelines.
- Team-oriented, communicative working style in collaboration with BI and specialist teams.
- Very good German and good English skills.
Experience
- Several years of experience in building and operating data pipelines in Microsoft Azure.
- Experience in integrating structured and unstructured data sources.
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What we offer
- Exciting tasks and projects that offer opportunities for growth, at well-established companies in the market.
- A professional environment.
- Nice, reliable, and competent colleagues.
- Regular training sessions and individual development.
- An open work environment characterized by flat hierarchies.
- Freedom and support for your own ideas, projects, and specializations.
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Topics You Will Work On
Job Locations
About Your Employer
binaroo technologies GmbH
Our company is located in the heart of Ottensen and we specialize in web-based software solutions and strategies for our clients. Our focus is on e-commerce solutions. We base our work on the Java-based e-commerce system SAP Hybris, as well as the PHP-based system Shopware.
Description
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Data Analytics Engineer
- Location
- Hamburg, Bremen
- Working Model
- Onsite
- Diversity
- Open for all genders
