Senior Data Engineer

Posted 6 Days Ago
Be an Early Applicant
2 Locations
Remote
Senior level
Software
The Role
Design, build, and operate production-grade Databricks-based data pipelines across medallion architecture. Define canonical data models, ensure performance, quality, governance, and reliability. Collaborate with data scientists and stakeholders, build data integrations/APIs, mentor engineers, and continuously optimize data infrastructure and workflows.
Summary Generated by Built In

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 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.

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 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.

Requirements:

  • 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.


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.

Skills Required

  • Minimum 5 years of relevant data engineering experience
  • Bachelor's degree in Computer Science, Information Technology, or related field
  • Databricks certification
  • Extensive hands-on Databricks experience (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog)
  • Experience with modern big data ecosystems (e.g., Kafka)
  • Advanced proficiency in Python
  • Advanced proficiency in SQL
  • Extensive experience building scalable ETL/ELT pipelines
  • Experience designing and implementing data models (dimensional, entity-based, SCD)
  • Deep understanding of data warehousing and Lakehouse/medallion architecture patterns
  • Experience with cloud platforms and their data services (AWS, Azure, or Google Cloud)
  • 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 and mentor engineers
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The Company
HQ: Sofia
230 Employees
Year Founded: 2005

What We Do

Dreamix is a bespoke software development company. We are Java experts that can build your product from scratch or dig deep and optimize your legacy system. What we're most proud of is the culture in our company that celebrates collective effort, knowledge sharing and high expertise. People from all over the world come to work at #dreamixoffice and many interesting people present to us during our #frydix events. We believe in searching for mastery. We believe in caring for each other. We must contribute to the progress of society. The way we care and search for mastery is by building relationships, passionately going through challenges and communicating effectively. Best quality bespoke software development is what we do to impact mankind for the better. Want to say hi? Subscribe to the Java Daily here https://goo.gl/SzBBgZ to have the top 6 news delivered to your email:)

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