Databricks Champion

Location: Bulgaria

Department: Delivery

Workplace: remote

Employment Type: full

Description

Dreаmix was founded 20 years ago by passionate IT students, who wanted to create the dreamiest workplace where everyone is heard, works under transparent management, and lives up to their full potential. Now, many years later, we deliver software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley. Dreamix provides quality software services and products for top enterprises around the world through Java and Web technologies.

We believe that the employer-employee relationship must be in the form of partnership not transaction. We are committed to investing as much as possible in our employees and we expect the same from you. Culture is what makes us different as we strongly believe in striving for mastery, teamwork, knowledge sharing, proactivity, a healthy lifestyle, and personal development.

At Dreamix, we are looking for a Databricks Champion with strong data engineering expertise to drive best practices, optimize data solutions, and promote the effective use of Databricks across our projects. If you are passionate about building scalable data platforms and driving technical excellence, join us in advancing our data engineering capabilities.


Responsibilities:

• Drive Databricks best practices and adoption across data engineering initiatives.
• Design, build, and optimize scalable data pipelines using the medallion architecture.
• Work hands-on with Databricks, Apache Spark, Delta Lake, and Unity Catalog.
• Optimize pipeline performance, reliability, and cost efficiency.
• Establish standards for data quality, testing, monitoring, and pipeline observability.
• Ensure data governance, security, access control, and compliance.
• Define reusable architectural patterns and engineering standards for data solutions.
• Collaborate with AI Engineers and stakeholders to deliver high-quality data products.
• Evaluate new Databricks features and identify opportunities to improve platform capabilities.
• Provide technical guidance and mentor engineers on data engineering best practices.
  

Requirements:

• At least 5 years of experience in data engineering.
• Databricks certification is mandatory, alongside strong hands-on experience with the platform.
• Advanced proficiency in Python and SQL.
• Strong knowledge of Apache Spark, Delta Lake, and Lakehouse architecture.
• Experience building and optimizing scalable ETL/ELT pipelines.
• Familiarity with data streaming technologies such as Kafka.
• Understanding of data modeling, data warehousing, and medallion architecture.
• Knowledge of data governance, security, and data quality practices.
• Proven ability to establish technical standards, share knowledge, and guide engineering teams.
• Strong English communication skills, both written and verbal.

What you will get:

• 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.

If you find the mentioned above interesting, send us your CV!

Only shortlisted candidates will be contacted. The confidentiality of all applications is assured!

By applying for this job, you voluntarily agree and submit your personal information. Any personal data that you provide will be processed in strict confidentiality by Dreamix ltd. only for the purposes of selection and recruitment and will not be transferred to other data controllers unless required by law. It will be stored, processed, retrieved, and deleted in accordance with the GDPR.