Data Platform Engineer: Python & SQL | Growth & Impact

ARC Gate Private Limited; Saint-Python; Sur place; EUR 65 000 - 90 000; Plein temps

Avantages offerts par ce poste

Competitive salary package

Professional growth opportunities

Dynamic and collaborative environment

Work with state-of-the-art technology

Résumé du poste

Arcgate is seeking a data engineer to lead data architecture, platform development, and pipeline management in a fast-growing team of 2500+ specialists. You will work with SQL-heavy data modeling, Python tooling, and robust data quality practices to support innovative startups worldwide.

Join a dynamic environment that emphasizes performance, scalability, and collaboration with cross-functional teams while adopting state-of-the-art technologies.

Qualifications

• Bachelor’s degree in a relevant field.
• 3+ years in a data production environment with large volumes of data.
• 3+ years of SQL programming, data architecture, and dimensional modeling.
• Strong SQL expertise for complex queries on relational databases (MySQL, PostgreSQL, Oracle, Snowflake).
• Proficiency in Python with libraries such as Pandas, Beautiful Soup, Selenium, Requests.
• Experience building and maintaining data pipelines and ETL/ELT processes.

Responsabilités

• Execute data architecture and data management projects for new and existing data sources.
• Develop and enhance data platforms focusing on SQL and Python.
• Migrate datasets to new tech stacks as needed.
• Manage end-to-end data ingestion and publishing processes.
• Perform data loads and quality analysis to identify errors.

Connaissances

SQL programming

Python programming

Data architecture

Dimensional modeling

Code quality & modularity

Data pipelines

Data validation & quality checks

Git version control

Debugging & performance optimization

Formation

Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or related field

Outils

MySQL

PostgreSQL

Oracle

Snowflake

Git

Description du poste

Arcgate is seeking a data engineer to lead data architecture, platform development, and pipeline management in a fast-growing team of 2500+ specialists. You will work with SQL-heavy data modeling, Python tooling, and robust data quality practices to support innovative startups worldwide.

Join a dynamic environment that emphasizes performance, scalability, and collaboration with cross-functional teams while adopting state-of-the-art technologies.