Senior Data Engineer (Databricks, SQL, Python, ETL/ELT)

Top 3 reasons to join us

• Thành viên tập đoàn Tentamus Đức
• Môi trường chuyên nghiệp, chuẩn quốc tế
• Chế độ đãi ngộ nhân tài

Job description

About the Role

We are looking for a skilled Data Engineer to join our growing data team. In this role, you will design, build, and maintain scalable data pipelines and architectures within our Databricks-based environment. You will work closely with business stakeholders to ensure reliable and efficient data solutions that drive decision-making.

Key Responsibilities

• Design, develop, and maintain robust ETL/ELT pipelines for ingesting, processing, and transforming large datasets
• Build and optimize data models to support analytics and reporting use cases
• Work with Databricks to develop scalable data processing solutions (e.g., Spark-based workloads)
• Ensure data quality, integrity, and reliability across all data pipelines
• Collaborate with cross-functional teams to understand data requirements and deliver solutions
• Implement and maintain CI/CD pipelines for data workflows and deployments
• Monitor, troubleshoot, and optimize performance of data systems
• Document data processes, models, and architecture

Your skills and experience

Required Skills & Experience

• Bachelor’s or Master’s degree in relevant field
• Work experience at least 5 years as data engineer
• Strong experience with Python, SQL and data querying
• Solid understanding of data modeling techniques (e.g., star schema, normalization/denormalization)
• Hands-on experience building ETL/ELT pipelines
• Hands-on experience creating and maintaining ML and AI models.
• Experience working with Databricks and distributed data processing frameworks (e.g., Apache Spark) 
• Familiarity with CI/CD practices and tools
• Experience with cloud platforms (e.g., AWS, Azure, or GCP) is a plus
• Proficiency in at least one programming language (e.g., Python, Scala)
• Good English

Preferred Qualifications

• Experience working in agile development environments
• Knowledge of data warehousing concepts and modern data architectures (e.g., lakehouse)
• Familiarity with version control systems (e.g., Git)
• Exposure to data governance and security best practices

Soft Skills

• Strong problem-solving and analytical thinking
• Proactive mindset with a sense of ownership
• Effective communication and collaboration skills
• Team-oriented attitude with the ability to work independently when needed
• Adaptability in a fast-paced, evolving environment

Why you'll love working here

• Opportunity to work with modern data technologies and scalable platforms
• Collaborative and supportive team environment
• Flexible working conditions
• Professional growth and learning opportunities