20 days ago
Budapest, HungaryMid Level / Senior
Responsibilities
- Design, develop, and implement scalable Databricks Lakehouse solutions across AWS, Azure, or GCP.
- Build and optimize modular data pipelines using Delta Lake.
- Implement data governance and secure access layers with Databricks Unity Catalog.
- Write maintainable SQL and Python code in Databricks Notebooks and IDEs.
- Automate workspace assets and configurations using the Databricks CLI and REST APIs.
- Establish and optimize CI/CD pipelines using tools such as GitHub Actions or GitLab CI/CD and Declarative Automation Bundles.
- Orchestrate data pipelines with Databricks Workflows or Spark Declarative Pipelines.
- Integrate Databricks with cloud-native storage and security services.
- Design data modeling and data warehousing solutions using Databricks SQL Warehouses.
- Own technical delivery components, participate in planning and estimation, support testing, liaise with business stakeholders, and create technical documentation.
Requirements
- 3–5 years of hands-on data engineering experience focused on Databricks Lakehouse architecture.
- Proficiency in both SQL and Python, with emphasis on clean, efficient, maintainable code for cloud data platforms.
- Hands-on experience with AI coding tools or agents such as Databricks Assistant, GitHub Copilot, Cursor, or Claude Code.
- Experience with API integration, scripting, Databricks Declarative Automation Bundles, CI/CD, and Git or Databricks Repos.
- Delivery experience with at least one complex, scalable solution using Unity Catalog, Delta Lake, and Databricks SQL.
- Strong experience operating Databricks in AWS, Azure, or GCP.
- Experience with dbt, particularly dbt-databricks, is a bonus.
- Knowledge of Databricks AI/ML and GenAI capabilities, Apache Spark, or related tools is a bonus.
- Native Hungarian and excellent written and verbal English communication skills.
- Strong teamwork, problem-solving, analytical thinking, and structured decision-making skills.
Benefits
- Diverse technical and business projects with opportunities for growth.
- Empowered and trust-based working culture.
- Flexible ways of working with access to the Bartók Béla Road community office.
- Emphasis on work-life balance and reduced unnecessary meetings and administration.
- Mentoring from the first day and continuous career support.
- Learning and development opportunities.
- Supportive corporate culture based on camaraderie, mutual support, and respect.
Tech Stack
Apache SparkAWSAzureDatabricksdbtGitGitHub ActionsGitLab CI/CDGoogle CloudGoogle Cloud PlatformMLflowPythonSQL
Categories
Data Engineering
About Hiflylabs
Hiflylabs provides data engineering, analytics, AI/ML, and mobile application development for enterprises, delivering data warehouses, BI platforms, and cloud solutions. The privately held firm, founded in 2015 and headquartered in Budapest, operates as a consulting and implementation partner across AWS, Azure, Snowflake, and Databricks, where it holds partner status and MVP credentials. It serves customers in finance, telecom, energy, and other sectors in Europe and North America.