About Qualysoft
· 25 years of experience in software engineering, established in Vienna, Austria
· Active in Romania since 2007, with office in central Bucharest (Bd. Iancu de Hunedoara 54B)
· Delivering End to End IT Consulting Services - From Team Augmentation and Dedicated Teams to Custom Software Development
· We deliver scalable enterprise systems, intelligent automation frameworks, and digital transformation platforms
· Cross-industry experience by sustaining global players in BSFI (Banking, financial services and insurance), Telecom,Retail & E-commerce, Energy and Utilities, Automotive, Manufacturing, Logitics, High Tech
· Global Presence: Switzerland, Germany, Austria, Sweden, Hungary, Slovakia, Serbia, Romania, and Indonesia
· International team of 500+ software engineers
· Strategic partnerships: Microsoft Cloud Certified Partner, Tricentis Solutions Partner in Test Automation and Test Management, Creatio Exclusive Partner, Doxee Implementation Partner
·
· Project beneficiaries ranging from large-scale enterprises to startups
· Stable growth and revenue increase year over year, a resilient organisation in volatile IT market conditions
· Quality-first mindset, culture of innovation, and long-term client partnerships
· Global and local reach – trusted by key industry players in Europe and the US
Responsibilities:
• Develop and maintain data ingestion, transformation, and publishing processes using Databricks and PySpark.
• Build and optimize ETL/ELT pipelines for large volumes of data.
• Implement Delta Lake structures and data models for operational and analytical consumption.
• Develop incremental loading, historization, and CDC (Change Data Capture) mechanisms.
• Integrate data from multiple sources, including Oracle, SQL Server, APIs, files, banking applications, etc.
• Participate in defining the Data Lakehouse architecture.
• Propose scalable and high-performance data models.
• Contribute to the development of development standards and platform architecture.
• Ensure data traceability and consistency throughout the entire processing flow.
• Implement automated Data Quality controls.
• Develop data reconciliation and validation processes.
• Configure monitoring, alerting, and process logging.
• Analyze and resolve production incidents.
• Manage data reloads, reruns, corrections, and recovery processes.
• Optimize PySpark and SQL processes for cost efficiency and performance.
• Identify and eliminate processing bottlenecks.
• Optimize Databricks resource consumption.
• Contribute to the automation of development and deployment processes.
• Build and optimize ETL/ELT pipelines for large volumes of data.
• Implement Delta Lake structures and data models for operational and analytical consumption.
• Develop incremental loading, historization, and CDC (Change Data Capture) mechanisms.
• Integrate data from multiple sources, including Oracle, SQL Server, APIs, files, banking applications, etc.
• Participate in defining the Data Lakehouse architecture.
• Propose scalable and high-performance data models.
• Contribute to the development of development standards and platform architecture.
• Ensure data traceability and consistency throughout the entire processing flow.
• Implement automated Data Quality controls.
• Develop data reconciliation and validation processes.
• Configure monitoring, alerting, and process logging.
• Analyze and resolve production incidents.
• Manage data reloads, reruns, corrections, and recovery processes.
• Optimize PySpark and SQL processes for cost efficiency and performance.
• Identify and eliminate processing bottlenecks.
• Optimize Databricks resource consumption.
• Contribute to the automation of development and deployment processes.
Qualifications:
• Minimum 5 years of experience in Data Warehouse development, Big Data, or enterprise data platforms.
• Minimum 2–3 years of hands-on experience with Databricks.
• Proven experience working on complex Data Warehouse, Data Mart, or Data Lake projects.
• Experience in developing end-to-end data pipelines.
• Strong knowledge of Data Lakehouse architecture.
• Experience implementing historization, CDC, data reconciliation, and Data Quality processes.
• Ability to take full ownership of technical deliveries and provide technical leadership to the team.
• Technical skills: Azure Databricks / PySpark, Advanced SQL, Delta Lake, Git & Jira, Data Modelling, ETL / ELT,
Data Quality Frameworks, Pipeline Orchestration.
• Minimum 2–3 years of hands-on experience with Databricks.
• Proven experience working on complex Data Warehouse, Data Mart, or Data Lake projects.
• Experience in developing end-to-end data pipelines.
• Strong knowledge of Data Lakehouse architecture.
• Experience implementing historization, CDC, data reconciliation, and Data Quality processes.
• Ability to take full ownership of technical deliveries and provide technical leadership to the team.
• Technical skills: Azure Databricks / PySpark, Advanced SQL, Delta Lake, Git & Jira, Data Modelling, ETL / ELT,
Data Quality Frameworks, Pipeline Orchestration.
What We Offer
· Premium medical package
· Lunch Tickets & Pluxee Card
· Bookster subscription
· 13th salary/yearly bonuses
· Enterprise job security with a startup mentality (diverse & engaging environment, international exposure, flat hierarchy) under the stability of a secure multinational
· A supportive culture (we value ownership, autonomy, and healthy work-life balance) with great colleagues, team events and activities
· Flexible working program and openness to remote work
· Collaborative mindset – employees shape their own benefits, tools, team events and internal practices
· Diverse opportunities in Software Development with international exposure
· Flexibility to choose projects aligned with your career path and technical goals
· Access to leading learning platforms, courses, and certifications (Pluralsight, Udemy, Microsoft, Google Cloud)
· Career growth & learning – mentorship programs, certifications, professional development opportunities, and above-market salary
*We are an equal opportunity employer and value diversity. All employment decisions are made without regard to age, gender, disability, race, ethnicity, religion, sexual orientation, or any other protected characteristic. We encourage applicants from all backgrounds to apply.*
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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