[Hiring] Senior Data Engineer @Dreamix Ltd.

Role Description

At Dreamix, we are actively seeking a talented Databricks-certified Senior Data Engineer to join our team. We are on the lookout for an individual with a robust skill set in data engineering. If you are passionate about creating seamless data solutions, thrive in a collaborative environment, and are eager to contribute to the success of our data-driven initiatives, we invite you to apply.

• Design and own scalable, production-grade data pipelines across the medallion architecture (ingestion, transformation, serving).
• Define and enforce canonical data models aligned to business domains.
• Architect pipelines for scalability, reliability, and cost efficiency, with strong focus on performance tuning (latency, partitioning, compute, SLAs).
• Build and optimize data workflows using Databricks (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog).
• Establish robust data quality, validation, and testing frameworks across all pipeline layers.
• Ensure reliability through proper handling of retries, idempotency, and failure scenarios.
• Partner with data scientists, analysts, and business stakeholders to translate requirements into high-quality data products.
• Develop and maintain data integrations and APIs to enable seamless data access and interoperability.
• Implement data governance, security, and compliance best practices across the platform.
• Mentor and support engineers by setting best practices, providing technical guidance, and contributing to a strong engineering culture.
• Troubleshoot, optimize, and continuously improve data infrastructure and workflows based on evolving needs and technologies.

Qualifications

• A minimum of 5 years of relevant experience in data engineering.
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Databricks certification is a must as well as extensive hands-on experience with Databricks (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog) and modern big data ecosystems (e.g., Kafka).
• Advanced proficiency in Python and SQL, with extensive experience building scalable ETL/ELT pipelines.
• Experience designing and implementing data models (dimensional, entity-based, SCD) and efficient database schemas.
• Deep understanding of data warehousing and modern Lakehouse/medallion architecture patterns.
• Experience with cloud platforms (AWS, Azure, or Google Cloud) and their data services.
• Experience building data products for consumption via APIs or analytics tools.
• Strong understanding of data governance, access control, and regulated data environments.
• Proven ability to define engineering standards, mentor engineers, and collaborate effectively in fast-paced environments.

Benefits

• A warm and supportive work environment where you can reach your full potential.
• Flexible working hours that allow you to balance your work and personal life.
• Unlimited home office to help you stay productive and focused.
• Opportunities for professional development, including certifications and training.
• Additional benefits for academic teaching and speaking engagements.
• Knowledge-sharing sessions where you can learn from our Dreamix team.
• Team and company-wide events that bring us together.
• Amazing week-long summer office and winter office initiatives.
• Additional health insurance to ensure your well-being.