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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Задачи чётко сосредоточены на Databricks, стек актуальный, а компания заявляет о менторстве и балансе между работой и личной жизнью. При этом консалтинговый формат может означать смену клиентов и проектов.
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Проектная работаАктуальный стекЧёткие задачиЗаявлен балансПоддержка развития
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Databricks Data Engineer (Databricks/Azure/AWS/GCP): Designing and delivering scalable Lakehouse solutions, modular Delta Lake pipelines, governance layers, and cloud-integrated data platforms with an accent on Databricks architecture, automation, and data quality. Focus on implementing Declarative Automation Bundles, CI/CD pipelines, Databricks Workflows, SQL Warehouses, and reliable deployments across major cloud environments.
Location: Hybrid, Budapest, Hungary
Company
hirify.global is a Budapest-based business solutions company with 250+ employees, delivering data warehouses, business intelligence, data analytics, application development, and innovative solutions for Hungarian and international projects.
What you will do
Design, develop, and implement complex, scalable Lakehouse solutions on Databricks across Azure, AWS, or GCP.
Build and optimize modular Delta Lake pipelines and implement governance and secure access with Unity Catalog.
Write maintainable SQL and Python code and develop automation using Databricks CLI and REST APIs.
Establish and optimize CI/CD pipelines using tools such as GitHub Actions or GitLab CI/CD, with Declarative Automation Bundles as the primary deployment mechanism.
Automate and orchestrate data pipelines using Databricks Workflows or Spark Declarative Pipelines, and integrate cloud-native storage and security services.
Own technical delivery aspects, participate in planning, estimation, testing, stakeholder communication, and technical documentation.
Requirements
3–5 years of hands-on data engineering experience with a strong focus on Databricks Lakehouse architecture.
Proficiency in both SQL and Python, with experience writing clean, efficient, and maintainable code for cloud data platforms.
Hands-on experience with AI coding tools and agents such as Databricks Assistant, GitHub Copilot, Cursor, or Claude Code.
Experience with API integration and scripting for platform automation.
Hands-on experience using Declarative Automation Bundles to manage, bundle, and deploy Databricks resources as code.
Strong understanding of CI/CD tools such as GitHub Actions or GitLab CI/CD, plus Git or Databricks Repos.
Experience delivering at least one complex, scalable data solution using Unity Catalog, Delta Lake, and Databricks SQL.
Strong experience operating Databricks in at least one major cloud environment: AWS, Azure, or GCP.
Native Hungarian and excellent written and verbal English communication skills.
Strong teamwork, proactive problem-solving, analytical thinking, and structured decision-making skills.
Nice to have
Experience with dbt, specifically dbt-databricks.
Knowledge of Databricks AI/ML and GenAI capabilities, including Mosaic AI, Databricks Assistant or Genie, MLflow, Feature Store, or Model Serving.
Apache Spark knowledge.
Culture & Benefits
Diverse technical and business projects supporting continuous growth.
Flexible ways of working with an office and community space on Bartók Béla Road.
Emphasis on work-life balance and focused work without unnecessary meetings or administration.
Mentoring from the first day and continuous career support.
Learning and development opportunities within a supportive, respectful, and collaborative culture.
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