Senior Data Engineer (Azure)

Job description

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!