Senior Data Engineer

This is a fully remote position, open to applicants in Romania.

📋 Description

• Design and take ownership of scalable, production-ready data pipelines within the medallion architecture (ingestion, transformation, serving).

• Define and uphold canonical data models that are aligned with business domains.

• Architect pipelines with an emphasis on scalability, reliability, and cost efficiency, focusing significantly on performance optimization (latency, partitioning, compute, SLAs).

• Construct and enhance data workflows utilizing Databricks (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog).

• Establish comprehensive data quality, validation, and testing frameworks across all layers of the pipeline.

• Ensure system reliability through effective management of retries, idempotency, and failure conditions.

• Collaborate with data scientists, analysts, and business stakeholders to convert requirements into high-quality data products.

• Develop and sustain data integrations and APIs to facilitate seamless data access and interoperability.

• Implement best practices for data governance, security, and compliance throughout the platform.

• Mentor and assist engineers by establishing best practices, offering technical guidance, and fostering a strong engineering culture.

• Diagnose, optimize, and continuously enhance data infrastructure and workflows in response to evolving needs and technologies.

⛳️ Requirements

• At least 5 years of relevant experience in data engineering.

• Bachelor’s degree in Computer Science, Information Technology, or a related discipline.

• Databricks certification is essential, along with substantial hands-on experience with Databricks (Spark, Delta Lake, Delta Live Tables, Autoloader, Unity Catalog) and contemporary big data ecosystems (e.g., Kafka).

• Advanced expertise in Python and SQL, with extensive experience in developing scalable ETL/ELT pipelines.

• Experience in designing and implementing data models (dimensional, entity-based, SCD) and efficient database schemas.

• Profound understanding of data warehousing and modern Lakehouse/medallion architecture patterns.

• Experience with cloud platforms (AWS, Azure, or Google Cloud) and their associated data services.

• Experience in creating data products for use via APIs or analytics tools.

• Strong knowledge of data governance, access control, and regulated data environments.

• Demonstrated capability to establish engineering standards, mentor engineers, and collaborate effectively in fast-paced settings.

🏝️ Benefits

• A warm and supportive work environment that encourages you to reach your full potential.

• Flexible working hours to help you balance your professional and personal life.

• Unlimited home office options to maintain your productivity and focus.

• Opportunities for professional growth, including certifications and training.

• Additional benefits for academic teaching and speaking engagements.

• Knowledge-sharing sessions to learn from our Dreamix team.

• Team and company-wide events that foster community.

• Exciting week-long summer and winter office initiatives.

• Additional health insurance to support your well-being.