About this role
Salary: £55,000 - 95,000 per year
Requirements: Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.Strong consulting values and ability to collaborate effectively in client-facing environments.Hands-on expertise across the data lifecycle, including ingestion, transformation, modelling, governance, and consumption.Strong problem-solving, analytical, and communication skills.Experience leading or mentoring engineering teams to deliver high-quality, scalable data solutions.Deep expertise with the Databricks platform, including Spark, PySpark or Scala, Delta Lake, Unity Catalog, and MLflow.Proficiency with 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 such as AWS, Azure, or GCP.Familiarity with Databricks Workflows and other orchestration tools.Knowledge of data modelling methodologies, including star schemas, Data Vault, Kimball, and Inmon.Familiarity with medallion architectures, data lakehouse principles, and distributed data processing.Experience with version control tools such as GitHub or Bitbucket and CI/CD pipelines.Understanding of data governance, security, and compliance frameworks.Exposure to AI/ML workloads is desirable.5–8 years of experience in data engineering, data warehousing, or data architecture roles, including at least 3 years working with Databricks.University degree required; a BSc/MSc in Computer Science, Data Engineering, or a related field is preferred.Databricks certifications, particularly Data Engineer Professional, are highly desirable. Responsibilities: Engage with clients and deliver 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, including data engineering and analytics leaders.Apply data quality, governance, and security practices.Deliver high-performing, scalable, and secure data pipelines aligned with client requirements.Support client satisfaction and successful adoption of Databricks-based solutions.Innovate and improve data engineering practices.Contribute to practice growth through reusable assets, accelerators, and technical leadership. Technologies: AIAWSAzureBitBucketCI/CDCloudData VaultDatabricksETLGCPGitHubSupportMLflowNetworkPythonPySparkSQLScalaSecuritySparkTalendUnitydbtGameDevArchitect More:
We are NTT DATA, a business and technology services leader serving 75% of the Fortune Global 100. We work to accelerate client success and positively impact society through responsible innovation, with capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. Our consulting and industry solutions help organizations move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 70 countries and offer access to innovation centers and a network of established and start-up partners. NTT DATA is part of NTT Group, which invests more than $3 billion annually in research and development. We embrace diversity and inclusion and are committed to an environment free of unfair discrimination and harassment. This is a full-time role.
last updated 40 week of 2026