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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
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· 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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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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