Senior Data Engineer

Stack

Responsibilities

• ▹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 a 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 turn requirements into high-quality data products
• ▹Develop and maintain data integrations and APIs for 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

Requirements

• ▹At least 5 years of relevant experience in data engineering
• ▹Bachelor's degree in Computer Science, Information Technology or a related field
• ▹Databricks certification (a must) and 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

Soft skills

What we offer

• ▹A warm and supportive work environment
• ▹Flexible working hours
• ▹Unlimited home office
• ▹Professional development opportunities, including certifications and training
• ▹Additional benefits for academic teaching and speaking engagements
• ▹Knowledge-sharing sessions
• ▹Team and company-wide events
• ▹Week-long summer and winter office initiatives
• ▹Additional health insurance

About the company

Dreamix was founded 20 years ago by passionate IT students who wanted to create a workplace where everyone is heard. It delivers software solutions through Java and Web technologies for companies in Germany, the UK, Switzerland and Silicon Valley, treats the employer-employee relationship as a partnership, and builds its culture around mastery, teamwork, knowledge sharing and personal development.