🛠 Tech Stack

💼 About This Role

You'll design and maintain ETL pipelines using Azure Synapse Analytics for a growing software consultancy. Your work will directly improve data quality and performance for clients. This role offers the chance to advance your career in a collaborative, remote-first environment.

🎯 What You'll Do

• Develop and maintain ETL data engineering processes using Python (PySpark) within Azure Synapse Analytics
• Design and build data storage structures in MPP SQL Pool using star schemas
• Extract data from REST APIs, SQL database tables, and CSV files
• Implement data quality checks and validation processes

📋 Requirements

• Proven experience in ETL data engineering with significant expertise in Python (PySpark)
• Proficiency in Azure Synapse Analytics resources including Notebooks, Pipelines, Linked Services, and Azure Key Vault
• Demonstrated ability to write complex SQL queries and optimize query performance
• Experience with version control systems, such as Git (Azure DevOps)

✨ Nice to Have

• Familiarity with big data technologies, machine learning, and data analysis
• Experience with data visualization tools (e.g. Power BI, Tableau)
• Azure Data Engineer certification

🎁 Benefits & Perks

• 💰 Competitive salary and bonuses
• 🏖️ Generous paid-time-off policy
• ⏰ Flexible working hours
• 🏠 Work remotely
• 📚 Continuing education, training, conferences

📨 Hiring Process

Estimated timeline: 2-3 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min