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The Data Engineer Technical Lead role at Qualysoft is an on-site position located in Bucharest.

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Data Engineer Technical Lead

QualysoftBucharest1d ago

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

Data Engineer Technical Lead

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