Data Platform Engineer
Cluj, RO Timisoara, RO Brasov, RO Sibiu, RO Bucuresti, RO Remote, RO Novi Sad, RS Iasi, RO Serbia remote, RS
Who we are
At NTT DATA, we are a global community of over 140,000 professionals operating in more than 50 countries, delivering innovative solutions across industries such as telecommunications, financial services, public sector, healthcare, and beyond. We are driven by a passion for technology and innovation, and we support a culture of personalized, merit-based career growth.
We are looking for an experienced Data Platform Engineer to design, build, and maintain scalable, cloud-based data solutions. The ideal candidate brings strong expertise in Python, scripting, Linux, and public cloud technologies, along with a solid foundation in data engineering practices. You are a proactive problem solver with the ability to thrive in a fast-paced, agile environment.
What you'll be doing
- Design and implement scalable data pipelines, ingestion processes, and transformations
- Develop and maintain data models to support analytics, reporting, and application features
- Support integration with enterprise data platforms and evolving data architecture
- Ensure alignment with data governance, security, and enterprise architecture standards
- Collaborate with platform, full stack, and AI engineers to support end-to-end product delivery
- Build and automate data pipelines to support regular refresh cycles and production workloads
- Ensure data quality, validation, and integrity through robust testing and monitoring
- Deliver data services, APIs, and models as part of product capabilities
- Support migration and optimisation of existing data processes to scalable, enterprise-grade solutions
- Embed QA practices into data engineering, ensuring all deliverables meet Definition of Done
- Support data observability, troubleshooting, and continuous improvement of pipelines
- Leverage AI-assisted tools to accelerate data pipeline development, transformation logic, and debugging
- Use AI-assisted validation techniques to improve data quality and anomaly detection
- Support adoption of AI-assisted engineering practices within data workflows
- Ensure AI-generated outputs are validated, auditable, and aligned with governance controls
- Continuously assess new AI capabilities to enhance data engineering productivity and quality
What you'll bring along
- Bachelor's degree in Computer Science, Business Informatics, Mathematics, or a comparable qualification
- Minimum 5-7 years of experience
- Experience building and maintaining data pipelines and data platforms
- Strong SQL and Python programming skills
- Experience working in Agile delivery environments
- Understanding of data modelling, governance, and validation
- Experience delivering production-ready data solutions
- Strong experience in data engineering including ETL/ELT pipelines and data modelling
- Experience with Azure data services (Azure SQL, Blob Storage, Fabric or equivalent)
- Proficiency in Python, SQL, and data processing frameworks
- Understanding of data governance, validation, and versioning
- Experience building scalable, production-grade data platforms
What’s in it for you
✔ New beginnings can be a challenge. We promise a smooth integration and a supportive mentor
✔ Pick your working style: choose from Remote, Hybrid or Office work opportunities
✔ Early bird or night owl? Our projects have different working hours to suit your needs
✔ Nobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
✔ We want you to stay healthy! Enjoy our Private Health Insurance – it’s custom-made for you
✔ A clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School
✔ Make the most of our epic parties or themed events – they’re lovingly designed for our people and their families
NTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees.
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