Data Engineer Technical Lead

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:
• Lead, mentor, and grow a team of data engineers, fostering a culture of technical excellence, continuous learning, and collaboration;
• Provide technical oversight and architectural guidance across all data engineering projects, ensuring solutions are robust, scalable, and secure;
• Act as the primary technical point of contact for key client engagements, translating complex business requirements into actionable technical roadmaps;
• Drive the strategic direction of the team’s technical capabilities, particularly in areas of big data, streaming analytics, and MLOps;
• Contribute to pre-sales activities, including solution design, project scoping, and effort estimation for new client proposals;
• Hands-On Technical Delivery;
• Architect and implement end-to-end, cloud-native data solutions on AWS, leveraging services like Glue, EMR, Redshift, Kinesis, and SageMaker;
• Design, build, and optimize scalable ‘big data’ pipelines and data lakes that process diverse data types, from near real-time events to large unstructured files (images, documents, etc.);
• Lead the integration of AI/ML models into production data pipelines, working closely with data scientists to productionize algorithms and establish MLOps frameworks;
• Serve as the senior subject matter expert for clients and internal teams on database optimization (SQL/NoSQL), data governance, security, and cloud data architecture;
• Work hands-on with a wide variety of data sources and technologies, including Spark, Kafka, Elasticsearch, Python/Scala, and advanced SQL to solve challenging data problems.

Qualifications:
• 5+ years of experience in data engineering, with at least 2 years in a formal or informal technical leadership or mentorship capacity;
• A Bachelor's or Graduate degree in Computer Science, Mathematics, or a related quantitative field;
• Expert-level proficiency with AWS data services (e.g., S3, Glue, EMR, Redshift, Athena, Kinesis, RDS, DynamoDB). AWS certification is a strong plus;
• Proven experience architecting and building production-grade data pipelines and data sets using big data technologies such as Spark, Kafka, or similar;
• Demonstrable experience implementing or supporting data solutions for AI/ML workloads (e.g., feature engineering pipelines, model deployment, MLOps);
• Deep knowledge of relational SQL (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., DynamoDB, Cassandra);
• Strong programming skills in Python, Java, or Scala;
• Extensive experience in a client-facing or consulting role, with exceptional communication and presentation skills;
• A natural leader, passionate about developing the skills and careers of team members;
• Fluency in English is essential.

What We Offer

· Premium medical package
· Lunch Tickets & Pluxee Card
· Bookster subscription
· 13th salary and 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