Overview

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 optimising 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.

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

Qualifications & Technical Expertise

• 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.
• 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.

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.

Company & Benefits

We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensures continuous growth and development opportunities. We also offer the opportunity to have flexible work options. We are an equal opportunities employer and commit to promoting equity and diversity in our employment practices. We are a Disability Confident Committed Employer, committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions to remove barriers to employment opportunities. We guarantee an interview to applicants who declare a disability and meet the minimum requirements for the role, and we will provide reasonable adjustments during the recruitment process if required. Join us in building a truly diverse and empowered team.

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.

About the Team

We are a global organization empowering local teams to undertake exciting work that changes the world. Our advanced portfolio includes consulting, applications, business processes, cloud, and infrastructure services. We are committed to an inclusive environment that prioritises mutual respect, accountability, continuous learning, collaboration, well-being, growth, and agility. We also operate Inclusion Networks such as the Women’s Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network, and the Parent Network.

Upon joining the NTT DATA UK family, you will experience a culturally diverse organisation living our values of Clients First, Teamwork and Foresight as we partner with our customers every day. We offer rewarding career paths and opportunities to develop professionally with access to cutting-edge innovation.