Databricks Lead Engineer

nttlimited; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

NTT DATA is seeking an experienced data engineering lead to design and deliver scalable data pipelines and lakehouse architectures for client engagements in London. You will lead and mentor engineers, drive best practices, and ensure governance and security across data platforms.

The role requires deep Databricks expertise, strong consulting acumen, and hands-on work across ingestion, transformation, and consumption in cloud environments.

Qualifications

• 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years with Databricks.
• University degree required.
• Databricks certification (Data Engineer Professional) highly desirable.
• Experience with cloud platforms and data modelling methodologies.

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

Data engineering

Consulting skills

Data lifecycle

Problem solving

Technical leadership

Education

University degree

BSc/MSc in CS/Data Engineering

Databricks Certification desirable

Tools

Databricks (Spark, PySpark, Scala)

Delta Lake

Unity Catalog

MLflow

DBT

Matillion

Talend

GitHub

CI/CD pipelines

AWS

Azure

GCP

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.

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

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.