🛠 Tech Stack

💼 About This Role

You'll design and maintain ETL data engineering processes using Python (PySpark) and Azure Synapse Analytics. You'll collaborate with cross-functional teams to ensure reliable data pipelines for a growing software consultancy. This role offers 100% remote work and opportunities for professional development.

🎯 What You'll Do

• Develop and maintain ETL data engineering processes using Python (PySpark)
• Design and build data storage structures in Azure Synapse Analytics
• Extract data from REST APIs, SQL tables, and CSV files
• Optimize data notebooks/pipelines for scalability and performance

📋 Requirements

• Bachelor's degree in Computer Science or related field, or equivalent experience
• Proven experience in ETL data engineering with Python (PySpark)
• Proficiency in Azure Synapse Analytics resources (Notebooks, Pipelines, Linked Services)
• Experience with version control systems (e.g., Git)

✨ Nice to Have

• Familiarity with big data technologies, machine learning, and data analysis
• Experience with data visualization tools (e.g., Power BI, Tableau) or Agile Methodologies
• Certification in data engineering or data science (e.g., Azure Data Engineer)

🎁 Benefits & Perks

• 💵 Competitive salary and bonuses including performance-based increases
• 🏖️ Generous paid-time-off policy
• ⏰ Flexible working hours
• 🏠 Work remotely
• 📚 Continuing education including training, conferences, and company-sponsored certifications

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Offer· N/A