Databricks Data Engineer

Responsibilities

Data Solution Design and Development

• Design develop and implement complex scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure AWS or GCP).
• Design build and optimize modular data pipelines using Delta Lake to ensure data efficiency reliability and quality.
• Implement data governance and secure data access layers utilizing Databricks Unity Catalog.

Programming & Scripting

• Write clean efficient and maintainable SQL and Python code within Databricks Notebooks and IDEs.
• Develop automation scripts leveraging the Databricks CLI and REST APIs to manage workspace assets and configurations.

DevOps & Automation

• Establish maintain and optimize CI/CD pipelines (e.g. GitHub Actions GitLab CI/CD) leveraging Declarative Automation Bundles (DABs) as the primary mechanism for rapid reliable and software-defined project deployments.
• Automate and orchestrate data pipeline processes using Databricks Workflows or Spark Declarative Pipelines (formerly DLT) 

Cloud Data Services

• Deliver solutions centered on the Databricks ecosystem integrating seamlessly with cloud-native storage and security services (e.g. AWS S3/IAM Azure ADLS/Entra ID or Google Cloud Storage/IAM).
• Design and implement modern data modeling and data warehousing solutions using Databricks SQL Warehouses.

Project and Team Management

• Own and manage the technical aspects of deliveries (at least at  component level).
• Participate in project planning task estimation testing and liaising with business stakeholders.
• Create comprehensive technical documentation.

Qualifications :

Requirements

Programming & Scripting

• Must have proficiency in both SQL and Python emphasizing clean efficient and maintainable code optimized for cloud data platforms.
• Hands-on experience utilizing AI coding tools and agents (e.g. Databricks Assistant in Chat/Agent mode GitHub Copilot Cursor or Claude Code) to augment programming workflows generate boilerplate code and resolve errors.
• Experience with API integration and scripting for platform automation.

DevOps & Automation

• Hands-on experience using Declarative Automation Bundles (DABs) to manage bundle and deploy Databricks resources as code.
• Solid understanding of standard CI/CD tools (e.g. GitHub Actions GitLab CI/CD) and version control (Git/Databricks Repos) to streamline development lifecycles.

Cloud Data Services

• A 3-5 years of hands-on experience in data engineering with a strong focus on Databricks Lakehouse architecture.
• Proven track record of delivering at least one complex scalable data solution utilizing core Databricks features (Unity Catalog Delta Lake Databricks SQL).
• Strong experience operating Databricks within at least one major cloud environment (AWS Azure or GCP).

Bonus Points if you have:

• Experience working with dbt (specifically dbt-databricks).
• Knowledge of Databricks AI/ML and GenAI capabilities (e.g. Mosaic AI Databricks Assistant/Genie MLflow Feature Store or Model Serving). 
• Apache Spark knowledge.

Soft and Other Skills

• Strong team player with a proactive mindset eager to take on challenges and drive modern data solutions.
• Great problem-solving skills analytical thinking and a structured approach to decision-making.
• Native Hungarian and excellent written and verbal communication skills in English.

Additional Information :

• Diverse projects - In each assignment there is always something new either on the technical or the business side that helps you grow.
• Empowerment - Trust is a cornerstone of our culture. Well hold your hand if you need it but give you space if youd like to push your limits. Dont lose sight of the goal the rest is up to you. 
• Flexible ways of working  We love our location on Bartók Béla RoadStreet which is not only an office but also a community space. However we respect our people to do their work when and how they work best. 
• Balanced life - We love what we do and aim to work together with others who do their work with love. At the same time we highly value fresh minds for which we think a healthy work/life balance is essential! Forget about pointless meetings and unnecessary administration.
• Mentoring from your first day  Continuous support is not just a set of fancy words we throw around here; your mentor follows you throughout your career path.
• Learning & Development opportunities - If you want to keep learning and improving we are on to a great track! We look forward to helping you unlock your potential.
• Supportive corporate culture - In addition to our professional success we are proud of the social cohesion that is based on comradery mutual support and respect and is constantly nurtured in the company.

Remote Work :

No

Employment Type :

Full-time