Senior Data Engineer (Databricks)

About the Project

We’re looking for an experienced Senior Data Engineer to join a long-term data transformation project for an international company operating in the retail sector. You’ll work on a modern cloud-based data platform, helping to build scalable data solutions that support customer analytics, pricing optimization, inventory management, and business decision-making across multiple markets.

You’ll collaborate with data engineers, analytics teams, and business stakeholders to deliver reliable, high-quality data products using modern Data & AI technologies.

Your Responsibilities

• Design, build, and optimize scalable data pipelines using Databricks and Apache Spark.

• Develop and maintain ETL/ELT workflows for large-scale data processing.

• Build and manage data models based on Delta Lake architecture.

• Integrate data from multiple internal and external sources.

• Collaborate with Data Analysts, Data Scientists, and business stakeholders to deliver trusted datasets.

• Ensure data quality, performance, scalability, and reliability across the platform.

• Participate in architecture discussions and contribute to continuous improvements of the data ecosystem.

• Support CI/CD processes and infrastructure best practices.

Requirements

• 5+ years of commercial experience as a Data Engineer.

• Strong hands-on experience with Databricks.

• Excellent knowledge of Apache Spark and PySpark.

• Very good SQL skills.

• Experience working with Delta Lake.

• Hands-on experience with Azure cloud services (especially Azure Data Lake Storage and Azure Data Factory).

• Experience designing and maintaining modern ETL/ELT pipelines.

• Good understanding of data modeling principles and data warehousing concepts.

• Experience with Git and CI/CD practices.

• Strong communication skills and the ability to work in an Agile environment.

• Professional proficiency in English (B2+).

Nice to Have

• Experience with Apache Kafka or event-driven architectures.

• Knowledge of Terraform or Infrastructure as Code.

• Experience working with Power BI or other BI platforms.

• Familiarity with Azure DevOps.

• Experience supporting Data Science or Machine Learning initiatives.

What We Offer

• 100% remote work.

• B2B cooperation.

• Long-term international project.

• Rare visits to the client’s office when required.

• Opportunity to work with modern Data & AI technologies.

• Supportive and collaborative engineering environment.

• Flexible working hours.

• Competitive compensation.

About Remodevs

At Remodevs, we connect experienced IT professionals with carefully selected international technology projects. We partner with innovative companies across Europe, helping them build high-performing engineering teams while matching talented specialists with projects where they can grow, make an impact, and work with modern technologies.