Senior Data Engineer (Azure)

What is the purpose of this position?
We are looking for a Senior Data Engineer with strong hands-on experience in the Azure ecosystem to design, build, and maintain scalable data pipelines and infrastructure. You will work closely with other engineers to ensure reliable, high-quality data flows across the organization. Potential clients make many requests, so we want to bring a new specialist on board and provide fast staffing.

Location: Remote (CET time zone preferably), ready to coordinate with US and EU time zones.

Responsibilities:
Design, build, and maintain scalable, reliable ETL/ELT data pipelines for batch and streaming data.

• Architect and optimize data storage solutions (data lakes, data warehouses) on Azure.
• Develop and maintain data models, schemas, and transformation logic to support analytics and reporting.
• Ensure data quality, consistency, and integrity across pipelines through validation, monitoring, and alerting.
• Optimize pipeline performance and troubleshoot bottlenecks in large-scale data processing.
• Implement and maintain CI/CD pipelines for data engineering workflows.
• Collaborate with data scientists, analysts, and backend engineers to understand data requirements and deliver solutions.
• Define and enforce best practices for data governance, security, and access control.
• Mentor junior data engineers and contribute to technical decision-making and architecture reviews.
• Document data architecture, pipelines, and processes for internal knowledge sharing.
   

Requirements:

• Strong hands-on experience as a Data Engineer, including senior-level or lead responsibilities.
• Strong practical experience with the Azure data ecosystem (e.g. Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage).
• Strong knowledge of SQL and experience with relational and non-relational databases.
• Strong programming experience in Python (or Scala/Java) for data processing and pipeline development.
• Experience designing and building ETL/ELT pipelines for both batch and streaming data (e.g. Spark, Kafka, Azure Event Hubs).
• Solid understanding of data modeling, data warehousing concepts, and dimensional design.
• Experience with infrastructure-as-code and CI/CD tools (e.g. Terraform, ARM/Bicep templates, Azure DevOps, GitHub Actions).
• Experience with data quality, testing, and monitoring practices for data pipelines.
• Strong analytical and problem-solving skills, with the ability to work independently on ambiguous or complex data challenges.
• Strong communication skills, with the ability to collaborate cross-functionally and explain technical concepts to non-technical stakeholders.
   

Nice to Have:

• Azure certifications (e.g. Azure Data Engineer Associate, Azure Solutions Architect).
• Experience with orchestration tools (e.g. Apache Airflow, Azure Data Factory pipelines).
• Experience with data governance and cataloging tools (e.g. Microsoft Purview).
• Familiarity with BI/reporting tools (e.g. Power BI).

• Experience working in a regulated or high-compliance data environment.
   

  Hiring process:
  • HR interview
  • Technical interview
  • Client interviews
  • Reference check
  
  We offer:
  • Remote Work Environment. Work from anywhere and be part of a geographically diverse team
  • Stay Ahead of the Curve. Work with cutting-edge technologies
  • Possibility of payment via PE account, Payoneer, or Wise
  • Bonus & Referral system
  • 16 paid vacation days and 10 sick days per year
  • Flexible hours
  • Compensation program for purchasing new laptops
  • Paid professional certifications & educational courses
  • Paid English classes
  • Friendly atmosphere with quarterly team building
  • No bureaucracy
  
  Ready to try your hand? Do not pull the cat’s tail and send your CV without a doubt!