Senior Data Engineer (Azure & Fabric Specialist)

Company Description The PM Office is a dedicated partner for recruitment, HR consulting, outsourcing, and business growth, focusing on aligning talent and organizational needs. Hiring: Senior Data Engineer (Azure & Fabric Specialist)

Company's Client : Leading Malta-Based IT & Data Consultancy 🇲🇹🇪🇺

Work Setup: 100% Remote

Employment Type: Full-Time

Salary: Up to $2,000 USD (Negotiable based on experience).

Availability: Must be able to start within one month at most (Short notice period preferred).

📋 Key Qualifications & Technical Requirements:

Experience: Proven hands-on background in Azure Databricks, Microsoft Fabric, or modern enterprise data platforms.

Language Proficiency: Minimum B2 English level (mandatory for direct client communication & documentation).

Availability: Short Notice Period is required (Immediate joiners or maximum 2–3 weeks preferred).

Core Tech Stack:

Advanced proficiency in Python and SQL.

Strong expertise in Spark (PySpark & Spark SQL).

Hands-on experience within the Azure ecosystem (Azure Data Factory, ADLS Gen2).

Architecture & BI: In-depth understanding of Lakehouse architecture, dimensional data modeling, and query performance tuning.

Experience integrating data pipelines with reporting tools, particularly Power BI.

Solid troubleshooting skills for production pipelines and enterprise data workloads.

🎯 Preferred Qualifications (Plus):

Experience with SSIS and migrating legacy processes to Spark-based architecture.

Hands-on knowledge of IT service-desk and ticketing processes.

Relevant industry certifications:

Databricks Certified Data Engineer (Associate / Professional)

Microsoft Certified: Fabric Data Engineer Associate

💼 Key Responsibilities:

Architect, develop, and optimize end-to-end data pipelines using PySpark, Python, and SQL.

Implement data governance, security, and access controls using Unity Catalog.

Execute performance tuning and cost optimization across Databricks and Fabric environments.

• Provide 1st & 2nd-line technical support, resolving data-quality issues and operational pipeline failures.