Senior Data Engineer (Databricks Expert)

Make this the place where you grow. 

As a global leader in business and technology innovation, we work with top organizations worldwide to deliver solutions that create meaningful impact. 

With 190,000+ professionals across 70+ countries, we blend deep expertise with a culture that values learning, curiosity, and collaboration. 

We lead transformation and deliver secure, innovative, industry-specific solutions that move businesses forward. Our people drive everything we achieve, they think bold to deliver the outcome while ensuring every voice is heard.

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 

Upon receiving an interview, you may request accommodation for any accessibility needs. 

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