Project Description We are looking for an experienced Data Engineer with deep expertise in Databricks to join our advanced analytics and data engineering team. The ideal candidate will play a key role in designing, building, and optimizing large-scale data solutions on the Databricks platform, supporting business intelligence, advanced analytics, and machine learning initiatives. You will collaborate with cross-functional teams to deliver robust, scalable, and high-performance data pipelines and architectures. Technologies * Databricks (including Spark, Delta Lake, MLflow) * Python/Scala * SQL * ETL concepts * Distributed data processing * Data warehousing * Cloud Platforms & Storage
What You’ll Do * Lead the design, development, and deployment of scalable data pipelines and ETL processes using Databricks (Spark, Delta Lake, MLflow); * Architect and implement data lakehouse solutions, ensuring data quality, governance, and security; * Optimize data workflows for performance and cost efficiency on Databricks and cloud platforms (Azure, AWS, or GCP); * Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver actionable insights; * Mentor and guide junior engineers, promoting best practices in data engineering and Databricks usage; * Develop and maintain documentation, data models, and technical standards; * Monitor, troubleshoot, and resolve issues in production data pipelines and environments; * Stay current with emerging trends and technologies in data engineering and Databricks ecosystem;
Job Requirements * Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field; * 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Databricks (including Spark, Delta Lake, and MLflow); * Strong proficiency in Python and/or Scala for data processing; * Deep understanding of distributed data processing, data warehousing, and ETL concepts; * Experience with cloud data platforms (Azure Data Lake, AWS S3, or Google Cloud Storage); * Solid knowledge of SQL and experience with large-scale relational and NoSQL databases; * Familiarity with CI/CD, DevOps, and infrastructure-as-code practices for data engineering; * Experience with data governance, security, and compliance in cloud environments; * Excellent problem-solving, communication, and leadership skills; * English: Upper Intermediate level or higher;
What Do We Offer The global benefits package includes: * Technical and non-technical training for professional and personal growth; * Internal conferences and meetups to learn from industry experts; * Support and mentorship from an experienced employee to help you professional grow and development; * Internal startup incubator; * Health insurance; * English courses; * Sports activities to promote a healthy lifestyle; * Flexible work options, including remote and hybrid opportunities; * Referral program for bringing in new talent; * Work anniversary program and additional vacation days.
Please, note, that we will consider all the applications with due respect, but only shortlisted candidates will be contacted.
