Databricks Developer

About Qualysoft

Qualysoft operates as a provider of IT consulting and software engineering services. The organization was founded in Vienna, Austria, and brings twenty-five years of experience to its work. Since 2007, Qualysoft has maintained an active office in central Bucharest, located at Bd. Iancu de Hunedoara 54B. The company delivers end-to-end IT consulting services, including team augmentation, dedicated teams, and custom software development.

Its service portfolio includes scalable enterprise systems, intelligent automation frameworks, and digital transformation platforms. Qualysoft serves clients across multiple sectors, such as Banking, Financial Services and Insurance (BSFI), Telecom, Retail & E-commerce, Energy and Utilities, Automotive, Manufacturing, Logistics, and High Tech. The company maintains a global presence with operations in Switzerland, Germany, Austria, Sweden, Hungary, Slovakia, Serbia, Romania, and Indonesia.

Qualysoft employs an international team of over 500 software engineers. The company has established strategic partnerships, including Microsoft Cloud Certified Partner status, Tricentis Solutions Partner for Test Automation and Test Management, Creatio Exclusive Partner, and Doxee Implementation Partner. It utilizes current technologies such as AI, Data & Analytics, Cloud, DevOps, IoT, and Test Automation. Project beneficiaries range from large-scale enterprises to startups. The organization demonstrates stable year-over-year growth and revenue increase, functioning as a resilient entity within volatile IT market conditions. It maintains a quality-first mindset, fosters a culture of innovation, and builds long-term client partnerships. Qualysoft holds both global and local reach, trusted by key industry players in Europe and the US.

Data Platforms Engineer Role

This position focuses on data platforms, where the candidate transforms complex, raw sources into reliable pipelines. The daily routine combines writing code, active discussion, and careful verification to ensure insights move safely. The role requires steady focus on logic and clarity, along with calm responses when systems encounter issues. The position links engineering effort with business intent through concrete artifacts and timely delivery.

The role is based in Bucharest and follows a fixed-term engagement. The compensation for this position is 42,000 EUR.

Key Responsibilities

You will design intake routines that strictly validate data formats, protecting downstream services from incorrect payloads. You will shape build logic using Databricks notebooks, ensuring each step is modular and transformations remain traceable. The role involves conducting review sessions where data contracts, test results, and run metrics are examined collectively.

You will coordinate ship preparations, including defining rollback strategies, adding monitoring hooks, and ensuring clear ownership handoffs. You will forge partner alignment by documenting interfaces, clarifying assumptions, and updating integration notes. The position requires orchestrating local testing workflows that mirror production patterns without accessing live environments.

You will guard data quality by embedding checks at multiple pipeline stages and logging anomalies for quick follow-up. Maintaining pipeline behavior is achieved through versioned configurations, structured logging, and consistent naming schemes. You will support continuous verification by comparing expected summaries against actual outputs after every run. The role also involves guiding knowledge transfer, pairing with teammates so operational understanding survives any single person.

Requirements

You must hold at least 3-5 years of experience writing Scala for large datasets on Databricks. Solid experience with Azure Data Factory or similar orchestration tools is necessary. Comfort with SQL and Python is required to transform tables and debug integration issues. You need familiarity with cloud storage, networking basics, and secure handling of credentials.

Understanding of banking, insurance, or financial services data models is mandatory. Reliable debugging skills, including log analysis and the ability to create minimal reproduction steps, are essential.

Nice to Have

Experience with Tricentis Tosca is preferred for test automation contexts. Familiarity with Microsoft Power Platform or Creatio is valued for wider integration scenarios.

Skills and Tools

The role requires proficiency in Scala, PySpark, Databricks, Azure Data Factory, SQL, Python, REST APIs, JSON, Parquet, Git, Jenkins, Tricentis Tosca, Power Platform, and Creatio.

Practical Notes

You should What you'll do