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!