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The position available is for a Senior Data Engineer at Reos, focusing on Artificial Intelligence (AI) and automation. This role is tailored for professionals who are proficient in developing scalable ETL (Extract, Transform, Load) pipelines with a robust understanding of data integration. The job is based in Germany, and remote work options are available, allowing flexibility for employees across the country.
As a Senior Data Engineer, the selected candidate will be responsible for multiple crucial functions:
Data Integration: This includes efficient and automated integration of heterogeneous data sources, such as MySQL databases, APIs, and other platforms. It is essential to ensure that these integrations run smoothly and efficiently.
AI & Automation Projects: The candidate must design, plan, and implement projects focused on AI and automation, which are central to the role.
Data-Warehousing Architecture: Continuous development and enhancement of the data-warehousing architecture in response to new requirements must be ensured through adaptable data models and structures.
Data Processes: You will be expected to develop robust processes for data modeling, acquisition, and production, which will serve as the backbone for reporting, analytics, and AI applications.
Quality Assurance: Maintaining high data quality standards, security, and reliability is vital. You will ensure integrity, availability, and confidentiality throughout the entire data pipeline.
Trend Monitoring: You are expected to remain updated on trends and technological developments in the field of data engineering, AI, and automation, allowing for innovative solutions and enhancements.
Applicants must possess a solid educational background, which includes a Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Additionally, the following skills are critical:
Automation Tools: Familiarity with automation tools like Azure Logic Apps, n8n, or Make is necessary, highlighting the importance of process automation in the job's responsibilities.
Large Language Models & AI Patterns: Experience with Large Language Models and knowledge of common patterns relating to generative AI are beneficial.
Technical Expertise: Candidates should be proficient in Microsoft Fabric or Microsoft Data Factory, Apache Spark, and Notebooks. Expertise in MySQL and familiarity with various data storage and warehouse solutions are also essential.
Data Processing Skills: Demonstrable experience in batch processing and working with structured data, ideally in environments related to real estate, will be considered a strong asset.
Communication Skills: Proficiency in German and good command of English is required to interact effectively with all stakeholders.
Reos fosters a supportive workplace environment underpinned by several core values:
Reos offers various benefits that aim to enhance the work-life balance and job satisfaction of its employees:
Workation: A unique approach that allows employees to blend productivity with a relaxed atmosphere in a vacation-like setting.
Wellbeing: Offering an annual health budget along with a subsidized membership to Urban Sports Club to promote physical health.
Retirement Contributions: Attractive support for pension plans to secure the future of employees.
Hardware Provided: Employees will have access to modern technology to ensure effective work execution.
Discount Programs: An array of attractive discounts from over 1,500 providers in areas such as sports, mobility, fashion, and travel.
Professional Development: Opportunities for individual development and training tailored to employee needs.
Networking: Regular team events will enhance connections among employees.
Reos looks forward to welcoming professionals who are passionate about data engineering, automation, and AI innovation. Successful candidates will find themselves in an environment that supports personal growth, teamwork, and groundbreaking solutions in the field of data engineering.
This job offer was originally published on himalayas.app
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