Data Engineer

Huspy; Paris; Sur place; EUR 50 000 - 80 000; Plein temps

Résumé du poste

A leading company in the proptech sector is seeking a Data Engineer to lead the design and development of their data infrastructure. The role requires a professional with 5+ years' experience in data engineering, expertise in AWS and Snowflake, and strong programming skills in SQL and Python.

Qualifications

• Minimum of 5 years of experience in a Data Engineering role.
• Proven experience with cloud service providers.
• Proficiency in SQL and Python or other data engineering languages.

Responsabilités

• Design, build, and maintain scalable data management systems.
• Develop and test high-performance algorithms and predictive models.
• Implement ETL processes and monitor platform costs.

Connaissances

Data structures

Data modeling

Software architecture

SQL

Python

Problem-solving skills

Analytical skills

Communication skills

Formation

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

Description du poste

The Story so far: Who we are

Founded in August 2020, Huspy started as a digital mortgage platform and quickly evolved into the largest proptech company in the EMEA region. Backed by leading investors such as Sequoia, Balderton, Founders Fund, and Olayan, we have experienced rapid growth with offices in Dubai, Abu Dhabi, Madrid, and Valencia. Our mission is to revolutionize the real estate industry by building an all-in-one super app designed to empower agents and mortgage brokers.

The Main Event: What you'll do

We are looking for a motivated and skilled professional who can take the lead in the design, development, maintenance and management of our data infrastructure and tools. The ideal candidate will have a strong background in data engineering with at least 5 years of experience, preferably with Amazon Web Services (AWS) and Snowflake.

• Design, build, and maintain highly scalable data management systems and data pipelines
• Develop and test high-performance algorithms, predictive models, and proof of concepts
• Architect and update the data warehouse infrastructure to meet changing technologies and business requirements
• Provide support to data modelers, analysts and other team members to enable efficient use of the platform.
• Implement version control, data quality, and data lineage frameworks to ensure data integrity and accessibility
• Develop access management and control systems, ensuring the right level of access to the right individuals
• Monitor platform costs and implement optimizations to ensure the cost-effective use of data resources
• Develop and maintain Extract, Transform, Load (ETL) processes

The Perfect Match: What you bring

• Minimum of 5 years of experience in a Data Engineering role
• Proven experience with any cloud service providers
• Strong knowledge of data structures, data modeling, and software architecture
• Proficiency in SQL and Python or other data engineering languages
• Strong problem-solving skills, attention to detail, and an analytical mind
• Excellent communication skills and the ability to work as part of a team
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field