Databricks Data Engineer

NTT Ltd.; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

NTT DATA, a global technology services leader, is seeking a Databricks Data Engineer to design and optimize scalable data pipelines and lakehouse architectures. You will enable advanced analytics and AI use cases on the Databricks platform, delivering secure, well-governed data products for clients.

The role requires strong Python/SQL skills, cloud experience (AWS/Azure/GCP), and hands-on expertise across the data lifecycle.

Qualifications

• Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Databricks.
• University degree required; preferred MSc/PhD in a data-related field.
• Databricks certifications (Data Engineer Professional) highly desirable.

Responsibilities

• Client Engagement & Delivery
• Data Pipeline Development (Batch and Streaming)
• Databricks & Lakehouse Architectures
• Data Modelling & Optimisation (Delta Lake, Medallion architecture)
• Collaboration & Best Practices
• Quality, Governance & Security

Skills

Databricks data engineering

Client-facing collaboration

Data lifecycle expertise

Problem solving & communication

Team leadership/mentoring

Education

Bachelor’s degree in Computer Science or related field

BSc/MSc in CS/Data Engineering or related field

Databricks Data Engineer Certification (Professional)

Tools

Databricks platform (Spark/PySpark/Scala)

Delta Lake

Unity Catalog

MLflow

DBT

Matillion

Talend

GitHub/Bitbucket

Job description

Make an impact with NTT DATA

Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Your day at NTT DATA

We are seeking a highly skilled Databricks Data Engineer to join our Data & AI practice. The successful candidate will have deep expertise in building scalable data pipelines, optimizing Lakehouse architectures and enabling advanced analytics and AI use cases on the Databricks platform. This role is critical in building and optimizing modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.

As a trusted practitioner, you will design and implement robust ETL/ELT workflows, integrate real-time and batch data sources, and enable secure, well-governed data products and pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation and ensuring the seamless delivery of data solutions.
.

Primary Responsibilities

• Client Engagement & Delivery
• Data Pipeline Development (Batch and Streaming)
• Databricks & Lakehouse Architectures
• Data Modelling & Optimisation (Delta Lake, Medallion architecture)
• Collaboration & Best Practices
• Quality, Governance & Security

Business Relationships

• Solution Architects
• Data Engineers, Developers, ML Engineers, and Analysts
• Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadership

To thrive in this role, you need to have:

Key Competencies

• Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.
• Strong consulting values with ability to collaborate effectively in client-facing environments.
• Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.
• Strong problem-solving, analytical, and communication skills.
• Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.

Technical Expertise

• Deep expertise with the Databricks platform (Spark/PySpark/Scala, Delta Lake, Unity Catalog, MLflow).
• Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent.
• Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
• Hands-on experience with cloud platforms (AWS, Azure, GCP).
• Familiarity with Databricks Workflows and other orchestration tools.
• Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
• Familiarity with medallion architectures, data lakehouse principles and distributed data processing.
• Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.
• Understanding of data governance, security, and compliance frameworks.
• Exposure to AI/ML workloads desirable.

Experience, Qualifications, and Education

• Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Databricks.
• Education: University degree required.
• Preferred: BSc/MSc in Computer Science, Data Engineering, or related field
• Databricks certifications (Data Engineer Professional) highly desirable.

Measures of Success

• Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements.
• High client satisfaction and successful adoption of Databricks-based solutions.
• Demonstrated ability to innovate and improve data engineering practices.
• Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.

Workplace type:

About NTT DATA

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune

Global 100. We are committed to accelerating client success and positively impacting society through

responsible innovation. We are one of the world’s leading AI and digital infrastructure providers, with

unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and

application services. Our consulting and industry solutions help organizations and society move

confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more

than 70 countries. We also offer clients access to a robust ecosystem of innovation centers as well as

established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each

year in R&D.

Equal Opportunity Employer

NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us.

Third parties fraudulently posing as NTT DATA recruiters

NTT DATA recruiters will never ask job seekers or candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties who may attempt to impersonate NTT DATA recruiters whether in writing or by phone in order to deceptively obtain personal data or money from you. All email communications from an @nttdata.com email address. If you suspect any fraudulent activity, please contact us.