Senior Data Engineer (Databricks)

Senior Data Engineer (Databricks)
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.
– 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.
– 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+).
– 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.
– 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.
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.