Senior Data Engineer / Romania (full remote /B2B)

We are looking for an experienced Senior Data Engineer to join a high-performing team working with a global organization in the financial technology space. Our client partners with mid-size and enterprise companies to build and scale advanced digital products by leveraging modern cloud, data, and AI technologies. This role involves working in a dynamic environment where continuous learning, adaptability, and collaboration are essential.

About the Role

As a Data Engineer, you will play a critical role in building robust data processing solutions, optimizing pipelines, and ensuring data quality for large-scale platforms. You'll work closely with engineers, analysts, and business stakeholders to deliver scalable data solutions that support decision-making and regulatory reporting in the financial domain.

This position offers the opportunity to work with cutting-edge technologies in the cloud and data engineering space, while contributing to high-impact projects that require innovation and agility.

Responsibilities

• Design, implement, and maintain scalable data pipelines using Python and Databricks.

• Collaborate with cross-functional teams to define data architecture and processing workflows.

• Build and manage CI/CD pipelines, preferably in Azure DevOps.

• Ensure the integrity, quality, and performance of data through monitoring and validation tools.

• Support cloud-based data solutions, primarily using Microsoft Azure.

• Work with SQL for data transformation, cleansing, and querying tasks.

Requirements

Must-Have Skills:

• Strong proficiency in Python for data engineering and analytics.

• Hands-on experience with Databricks for large-scale data processing.

• Familiarity with CI/CD practices, ideally using Azure DevOps.

• Solid experience with Git for version control.

• Experience in cloud platforms, especially Microsoft Azure.

• Proficiency in SQL for data manipulation and reporting.

Nice-to-Have Skills:

• Knowledge of .NET (C#).

• Experience with Azure Data Lake and other Azure data services.

• Familiarity with Kubernetes for managing containerized applications.

• Understanding of monitoring and alerting tools.

• Experience using Terraform or similar tools for infrastructure as code.

• Domain knowledge in financial services or regulatory reporting is a plus.

Additional Qualifications:

• Strong analytical mindset with the ability to identify and resolve data quality issues.

• Adaptability in fast-changing environments.

• Knowledge of data domains in the financial or FinTech industry is advantageous.

Additional Information

• Be part of a global, collaborative team working on high-impact data initiatives.

• Work in a culture that values innovation, ownership, and continuous development.

• Opportunities for career growth and professional development.

• Flexible work environment with a focus on inclusion and diversity.

Ready to take your data engineering career to the next level? Apply now!