Databricks Data Engineer

Salary: £63,000 - 103,000 per year

Requirements:

• 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.
• 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.
• 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: BSc/MSc in Computer Science, Data Engineering, or related field.
• Databricks certifications (Data Engineer Professional) highly desirable.

Responsibilities:

• Lead client engagement and delivery for data engineering solutions.
• Develop batch and streaming data pipelines.
• Design and implement Databricks and Lakehouse architectures.
• Perform data modelling and optimisation using Delta Lake and Medallion architecture.
• Collaborate with solution architects, data engineers, developers, ML engineers, analysts, and client stakeholders.
• Apply best practices across collaboration, quality, governance, and security.
• Build robust ETL/ELT workflows.
• Integrate real-time and batch data sources.
• Enable secure, well-governed data products and pipelines.
• Support the delivery of scalable data solutions aligned to client requirements.
• Contribute reusable assets, accelerators, and technical leadership to grow the practice.
• Innovate and improve data engineering practices.
• Mentor and guide engineers to deliver high-quality data solutions.

Technologies:

• AI
• AWS
• Azure
• BitBucket
• CI/CD
• Cloud
• Data Vault
• Databricks
• ETL
• GCP
• GitHub
• Support
• MLflow
• Python
• PySpark
• SQL
• Scala
• Security
• Spark
• Talend
• Unity
• dbt
• GameDev
• Architect

More:

We are NTT DATA, a $30+ billion business and technology services leader serving 75% of the Fortune Global 100. We accelerate client success and positively impact society through responsible innovation, with capabilities across AI, cloud, security, connectivity, data centers, and application services. Our inclusive workplace supports growth, belonging, and thriving, and we are committed to equal opportunity and a global culture that embraces diversity. This is a full-time Data and Analytics role in our growing Data & AI practice, with this advertisement intended to build a pipeline of talent for future opportunities across the UK.

last updated 36 week of 2026