🕒 10 days ago
As a Data Engineer V, you will lead a data engineering team, driving technical direction and ensuring the delivery of high-quality data solutions while mentoring engineers.
Data Engineering Lead
🕒 yesterday
Data EngineeringDatabricksApache SparkDelta Lake
📜 Description
- Lead Data Engineering projects and guide teams through technical delivery.
- Design, build, and optimize cloud data platforms, architectures, and ETL/ELT pipelines.
- Establish engineering standards and DataOps practices, including CI/CD, testing, monitoring, and incident resolution.
- Advise customers, lead technical workshops, and translate business needs into sustainable data solutions.
- Contribute to proposals, estimates, RFP responses, and development of Data Engineering service offerings.
🛠️ Requirements
- Technical skills
- Minimum 7 years of professional experience in Data Engineering, Data Architecture, or related disciplines.
- Strong hands-on experience with Databricks, Apache Spark, and Delta Lake.
- Advanced proficiency in Python and SQL.
- Solid understanding of modern data architectures, including Data Lake, Data Warehouse, and Lakehouse concepts.
- Proven experience designing and implementing ETL/ELT pipelines and complex data integration solutions.
- Strong experience with cloud-based data platforms (Azure, AWS, or Google Cloud), preferably in combination with Databricks.
- Knowledge of data orchestration, workflow automation, and CI/CD practices.
- Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to improve coding productivity, troubleshooting, testing, and documentation.
- Experience with performance optimization, data quality, monitoring, and troubleshooting.
✨ Benefits
- 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
- 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
Full job description
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
· Powered by cutting-edge technologies: AI, Data & Analytics, Cloud, DevOps, IoT, and Test Automation.
· 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
Technical Leadership & Delivery
• Lead Data Engineering projects, ensuring high-quality technical delivery and alignment with customer requirements.
• Provide technical guidance, mentoring, and support to Data Engineering teams.
• Design and implement scalable data architectures, data pipelines, and integration solutions.
• Drive technical decisions and establish engineering standards, best practices, and quality assurance processes.
• Ensure the reliability, performance, security, and maintainability of data platforms.
• Identify and resolve complex technical challenges throughout the project lifecycle.
• Collaborate with project managers and cross-functional teams to ensure successful project execution.
Data Platform Engineering & Operations
• Design, develop, and optimize modern cloud-based data platforms, primarily using Databricks.
• Build and maintain robust ETL/ELT pipelines and data processing workflows.
• Implement data orchestration, automation, monitoring, and performance optimization solutions.
• Support the operation and continuous improvement of enterprise data environments.
• Establish effective DataOps practices, including CI/CD, automated testing, incident resolution, and operational monitoring.
• Ensure compliance with data governance, security, and data quality requirements.
Solution Architecture & Consulting
• Work directly with customers to understand business objectives, technical requirements, and operational challenges.
• Translate business requirements into scalable, cost-effective, and sustainable technical solutions.
• Lead technical workshops, architecture discussions, and solution design sessions.
• Provide expert guidance on data platform architecture, modernization, integration, and optimization.
• Prepare technical documentation, architectural designs, and implementation recommendations.
• Act as a trusted technical advisor to customer stakeholders.
Presales & Business Development Support
• Contribute to technical proposals, solution designs, and effort estimations for new opportunities.
• Support RFP and tender responses by defining technical approaches, architectures, and delivery concepts.
• Participate in customer presentations, technical demonstrations, and discovery workshops.
• Collaborate with Sales, Account Management, and Solution teams to identify and develop new opportunities.
• Contribute to the development and standardization of Data Engineering and Data Operations service offerings.
Qualifications
Technical skills
• Minimum 7 years of professional experience in Data Engineering, Data Architecture, or related disciplines.
• Strong hands-on experience with Databricks, Apache Spark, and Delta Lake.
• Advanced proficiency in Python and SQL.
• Solid understanding of modern data architectures, including Data Lake, Data Warehouse, and Lakehouse concepts.
• Proven experience designing and implementing ETL/ELT pipelines and complex data integration solutions.
• Strong experience with cloud-based data platforms (Azure, AWS, or Google Cloud), preferably in combination with Databricks.
• Knowledge of data orchestration, workflow automation, and CI/CD practices.
• Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to improve coding productivity, troubleshooting, testing, and documentation.
• Experience with performance optimization, data quality, monitoring, and troubleshooting.
• Understanding of data governance, access management, and security principles.
• Familiarity with production-grade data platform operations and DataOps methodologies.
Professional and Leadership Skills
• Proven experience in a technical leadership role, such as Lead Data Engineer, Technical Lead, or Data Architect.
• Experience in IT consulting, systems integration, or professional technology services.
• Ability to identify and drive opportunities for applying AI-powered tools and automation to improve Data Engineering efficiency, delivery quality, and team productivity.
• Strong analytical and problem-solving capabilities.
• Ability to translate business requirements into technical architectures and implementation plans.
• Experience managing technical stakeholders and working directly with enterprise customers.
• Strong communication, presentation, and consulting skills.
• Ability to work independently while coordinating cross-functional and international teams.
• Experience preparing technical proposals, estimates, and solution documentation.
• Strong ownership mindset, proactive attitude, and commitment to delivery excellence.
• Fluent English, both written and spoken.
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