Azure Data Engineer

At SILVARE, we're a small team achieving remarkable results. We've built a reputation for delivering fast, impactful results that keep our clients coming back—many of whom are some of the biggest names in tech. What makes us different? We're easy to talk to, we get straight to the point and we're all about making things happen.  

We're proud of the strong relationships we build, both with our clients and our team. We believe in keeping our people happy, whether it's through improving benefits, having open conversations about their projects or just being there when they need us. It's this supportive environment that helps us—and our people—thrive.   

If you're ready to work on exciting projects, grow alongside industry leaders and make a real impact, we'd love to have you join us at SILVARE.  

The Role in a Nutshell  

We are seeking Azure Data Engineer on behalf of our client. Do you love building robust data pipelines that fuel powerful insights? Are you passionate about making data accessible and actionable for teams across the organization? If you're a data enthusiast who thrives on tackling complex problems, we want YOU as our Azure Data Engineer Help us transform raw data into meaningful solutions.

• Design, build, and maintain scalable and secure data pipelines and data flows using Azure Data Factory, Synapse Analytics, and Azure Data Lake.
• Develop and deploy serverless data solutions using Azure Functions, Event Grid, and Cosmos DB triggers.
• Architect and support modern cloud-native data platforms following Lakehouse or Data Warehouse design patterns.
• Apply DataOps principles, Clean Data Architecture, and best practices for modular, maintainable, and extensible data solutions.
• Implement batch and streaming data ingestion and transformation pipelines using PySpark, T-SQL, and Synapse Pipelines.
• Manage data governance, metadata, and lineage using tools such as Azure Purview or equivalent.
• Ensure data quality and security through validation, data masking, encryption at rest and in transit, and RBAC-based access.

• 3+ years of experience designing and building data solutions using Azure Data Factory, Synapse Analytics, Azure SQL, or Databricks.
• Hands-on experience with Azure Functions and event-driven architectures (e.g., Cosmos DB change feed, Event Grid).
• Strong understanding of modern data architectures (e.g., Lakehouse, DWH, ELT/ETL, star/snowflake schemas).
• Proficiency in T-SQL, Spark/PySpark, and designing complex data transformation workflows.
• Familiarity with data formats such as Parquet, Avro, JSON and effective partitioning strategies.
• Experience with CI/CD tools for data workflows (e.g., Azure DevOps or equivalent).
• Knowledge of data governance, observability, and monitoring practices using Azure Monitor, Log Analytics, or similar tools.
• Solid grasp of software development best practices in the context of data engineering (unit/integration testing, documentation).

 Competitive salary package.

 Career coaching and mentorship to support your professional growth.

 Diverse and multicultural teams that promote inclusivity.

 Outstanding working environment.

 Continuous training and development opportunities.

Eager to Join Them? Jump in and apply today—we're excited to see what you can bring to our team 

*SILVARE is an Equal Opportunity Employer. SILVARE does not discriminate on the basis of age, race, religion, sex, gender identity, sexual orientation, non-disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need. #LI-Hybrid