Τι θα κάνεις
- Σχεδιάζεις, αναπτύσσεις και συντηρείς εταιρικούς data pipelines χρησιμοποιώντας τεχνολογίες Azure cloud
- Ενισχύεις και βελτιστοποιείς λύσεις data warehouse για υποστήριξη reporting και ανάλυσης
- Αναπτύσσεις διαδικασίες ETL/ELT για εξαγωγή, μετασχηματισμό και ενοποίηση δεδομένων από πολλαπλές πηγές
- Συνεργάζεσαι με χρήστες και αναλυτές για τη μετάφραση απαιτήσεων σε τεχνικές λύσεις
- Διασφαλίζεις την ποιότητα, ακεραιότητα, διακυβέρνηση και ασφάλεια των δεδομένων
- Αναπτύσσεις και διαχειρίζεσαι semantic μοντέλα και σετ δεδομένων για Power BI
- Παρακολουθείς και βελτιστοποιείς την απόδοση, κλιμακωσιμότητα και κόστη της πλατφόρμας δεδομένων
- Συνεργάζεσαι με αρχιτέκτονες και ομάδες ανάπτυξης για ευθυγράμμιση σε βέλτιστες πρακτικές και αρχιτεκτονική
- Παράγεις και διατηρείς τεχνική τεκμηρίωση για μοντέλα δεδομένων, pipelines και διαδικασίες
- Υποστηρίζεις το παραγωγικό περιβάλλον με επίλυση προβλημάτων και συνεχή βελτίωση
- Καθοδηγείς νεότερα μέλη της ομάδας και προωθείς βέλτιστες πρακτικές μηχανικής δεδομένων
Βασικές προϋποθέσεις
- 6+ χρόνια εμπειρίας
- Azure Databricks με PySpark και Delta Lake για scalable data engineering και βελτιστοποίηση pipelines
- Microsoft Azure Data Factory (ADF), Azure Synapse Analytics και Azure Data Lake Storage (ADLS) για διαχείριση, ενοποίηση και ανάλυση δεδομένων σε cloud
- SQL Development με δεξιότητες βελτιστοποίησης ερωτημάτων και tuning απόδοσης
- Python Programming για ανάπτυξη λύσεων μηχανικής δεδομένων και αυτοματισμούς
- ETL/ELT Processes και Data Warehouse Solutions με σχεδίαση dimensional data models (star, snowflake)
- Power BI με δημιουργία semantic μοντέλων, DAX measures, βελτιστοποίηση απόδοσης, ασφάλεια και data governance
- Data Governance, Data Quality, Security και Metadata Management
- Agile Methodologies για εργασία σε ευέλικτες ομάδες ανάπτυξης
- Performance Tuning για τη βελτίωση αποδόσεων συστημάτων και pipelines
- Πληροφορική / Πληροφοριακά Συστήματακατά προτίμηση
Παροχές
- Ασφάλιση υγείας για τον εργαζόμενο και ένα μέλος εξαρτώμενου οικογενειακού μέλους (100% καλύπτεται από την NTT DATA).
- Εισιτήρια γεύματος ύψους 120€ το μήνα.
- Συνδρομή εταιρικού κινητού τηλεφώνου και συσκευή, επίδομα εξοπλισμού τηλεργασίας, πρόσβαση σε εσωτερική πλατφόρμα εκπαίδευσης, υπηρεσίες ψυχικής υγείας και 28 ημέρες ετήσιας αδειας με αποδοχές.
Περιγραφή Θέσης
NTT Data Greece is looking an experienced Senior Data Engineer (Databricks Expert) to join our team. The successful candidate will be responsible for designing, developing, and maintaining scalable data solutions that support business intelligence, reporting, and analytics across the organization.
Working closely with business stakeholders, analysts, architects, and developers, the role requires translating business and reporting requirements into efficient, reliable, and high-performing data solutions built on the Microsoft Azure data platform.
Your role:
Design, develop, and maintain enterprise data pipelines using Azure cloud technologies.
Build and optimize data warehouse solutions to support reporting, analytics, and business intelligence initiatives.
Develop robust ETL/ELT processes to ingest, transform, and integrate data from multiple sources.
Collaborate with business users and analysts to gather, analyse, and translate reporting and analytical requirements into technical solutions.
Ensure data quality, integrity, governance, and security across the data platform.
Develop and maintain semantic models and datasets to support Power BI reporting.
Monitor and optimize data platform performance, scalability, and cost efficiency.
Work closely with solution architects and development teams to ensure alignment with enterprise data architecture and best practices.
Produce and maintain technical documentation for data models, pipelines, and processes.
Support production environments by troubleshooting issues and implementing continuous improvements.
Mentor junior team members and promote engineering best practices.
Your Profile:
Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field (or equivalent practical experience).
Minimum of 6 years of experience in data engineering, big data, or cloud-based pipeline development.
Strong experience designing and implementing enterprise data warehouse solutions.
Proven experience gathering, analysing, and translating business and reporting requirements into scalable technical solutions.
Hands-on experience with Azure Databricks, including developing scalable data engineering solutions using PySpark, implementing Delta Lake architecture, optimising data pipelines, and applying performance tuning and best practices for large-scale data processing.
Good working knowledge of the wider Microsoft Azure data ecosystem, including Azure Data Factory (ADF), Azure Synapse Analytics, and Azure Data Lake Storage (ADLS), with experience in data orchestration, integration, storage, and analytics solutions.
Advanced SQL development skills, including query optimisation and performance tuning.
Strong programming skills in Python, with experience developing data engineering solutions and automation.
Hands-on experience with PySpark for large-scale data processing in Azure Databricks.
Experience designing dimensional data models (star and snowflake schemas) to support analytical reporting.
Experience building and maintaining scalable ETL/ELT data pipelines.
Strong experience with Power BI, including:
Developing and maintaining semantic models.
Implementing efficient and reusable DAX measures and calculations.
Applying Power BI best practices for data modelling, report performance optimisation, security (Row-Level Security), and governance.
Optimizing datasets and reports for scalability and maintainability.
Strong understanding of data governance, data quality, security, and metadata management.
Experience working within Agile delivery teams.
Excellent analytical, problem-solving, communication, and stakeholder management skills.
This role describes your starting point at NTT DATA. We believe in long‑term relationships and in supporting your growth. As your skills and ambitions evolve, we will work with you to identify future opportunities, projects, and career paths across our organization.
🌟 Why NTT DATA?
🤝 A collaborative and supportive culture
We foster an environment where curiosity, innovation, engagement, and teamwork are celebrated. Our people‑first philosophy is one of the core reasons we continue to be recognized globally.
🚀 Career development & continuous learning
Access a structured training path, ongoing learning resources, annual performance reviews, and a dedicated mentorship program — all designed to help you grow professionally and take on new challenges.
💻 Work–life balance supported by our BeFlex policy
As a company, we embrace a BeFlex approach that empowers our people with a level of flexibility in how they manage their workday.
✨ Global Top Employer
We are proudly certified as a Global Top Employer acknowledging our commitment to being a place where people can grow and thrive.
🌿 Health & well‑being first
Your mental well‑being matters. Employees have access to certified psychologists and online mental health workshops.
🌈 Diversity, Equity & Inclusion
We are committed to creating a workplace where everyone can thrive, regardless of gender, nationality, sexual orientation, disability, age, or background. Inclusion is part of who we are and how we work.
#WeAreAllUnique #YouMakeUsUnique
Benefits
Health insurance for the employee and one dependent family member (100% paid by NTT DATA)
Meal vouchers of 120€ per month (x12)
Corporate mobile phone: subscription & device
Teleworking equipment allowance
Internal Trainings Platform Account
Access to Open Up mental health service
28 days of paid annual leave consisting of your legal holidays and compensation days



