Senior Data Engineer (Databricks / PySpark)

📉 Senior Data Engineer (Databricks / PySpark)

Interexy is looking for an experienced Senior Data Engineer to join a fully remote project focused on building and optimizing scalable data pipelines and cloud-based data platforms.

📌 Requirements:

• 4+ years of commercial Data Engineering experience
• Strong hands-on experience with Databricks
• Advanced knowledge of PySpark / Apache Spark
• Strong Python and SQL skills
• Experience with ETL/ELT pipelines
• Experience with AWS, Azure, or GCP
• Good understanding of Data Lakes and Data Warehousing
• English B2
• Candidate must be based in the EU

🛠 Responsibilities:

• Build and maintain scalable data pipelines
• Develop and optimize ETL/ELT workflows using Databricks and PySpark
• Work with large datasets and distributed data processing
• Improve the performance, reliability, and scalability of data solutions

⭐️ Project format:

• Fully remote
• EU-based candidates only
• Project-based B2B cooperation
• Hourly payment
• Can be combined with your current employment
• Long-term collaboration