hallo theo
Real Estate • Enterprise • SaaS
Hallo Theo is a digital property management company that aims to transform the residential and commercial property management experience. They focus on providing a transparent and efficient administration process for property owners, such as residential property associations (WEGs), family offices, and institutional investors. By leveraging modern technology, hallo theo enhances service delivery, reduces management complexities, and prioritizes customer satisfaction, ensuring a seamless experience for all stakeholders involved.
51 - 200 employees
Founded 2023
🏠 Real Estate
🏢 Enterprise
☁️ SaaS
Data Engineer
Job not on LinkedIn
February 5
hallo theo
Real Estate • Enterprise • SaaS
Hallo Theo is a digital property management company that aims to transform the residential and commercial property management experience. They focus on providing a transparent and efficient administration process for property owners, such as residential property associations (WEGs), family offices, and institutional investors. By leveraging modern technology, hallo theo enhances service delivery, reduces management complexities, and prioritizes customer satisfaction, ensuring a seamless experience for all stakeholders involved.
51 - 200 employees
Founded 2023
🏠 Real Estate
🏢 Enterprise
☁️ SaaS
📋 Description
• Designing, developing, and maintaining the data infrastructure and pipelines. • Developing robust data pipelines using SQL, Python, DBT, and other technologies. • Collaborating with data scientists, analysts, and software developers to align data architecture with company needs. • Integrating data from various sources including databases, APIs, and third-party systems. • Ensuring data quality and consistency throughout the data lifecycle. • Optimizing data performance and scalability. • Providing technical guidance and support to data users. • Staying up-to-date with the latest data technologies and trends.
🎯 Requirements
• Strong proficiency in SQL and data warehousing concepts. • Experience with data engineering tools and technologies, such as Apache Spark, Hadoop, Kafka, and cloud platforms (AWS, GCP, Azure). • Knowledge of data modeling, data warehousing, and data architecture. • Experience with data cleaning, transformation, and integration techniques. • Proficiency in Python (or another programming language) for data manipulation and automation. • Experience with data integration tools like Airbyte or dbt. • Strong problem-solving and analytical skills. • Ability to work effectively in a team environment. • Excellent communication and interpersonal skills. • Proficiency in English (written and spoken).
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