Databricks Data Engineer
Nttlimited (Internal Employees Not On Workday) Open At a glance
Mid-level Data Engineering role at Nttlimited (Internal Employees Not On Workday). London · full-time · no salary stated · we estimate £62,000–£80,000.
Nttlimited (Internal Employees Not On Workday) has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build and tune batch and streaming pipelines, connecting data sources and supporting analytics and AI workloads
- Design Databricks Lakehouse solutions, including Delta Lake and medallion-based data models
- Create ETL/ELT workflows that prepare data for use while maintaining security and governance
- Work directly with clients and coordinate delivery with architects, engineers, developers, ML engineers and analysts
- Improve engineering practices and contribute reusable assets while guiding other engineers
What you bring
- You have five to eight years in data engineering, warehousing or architecture, including at least three years with Databricks
- A university degree is required, along with practical data engineering and pipeline work on Databricks and cloud platforms
- You bring strong Databricks knowledge, SQL and Python skills, plus experience with ETL/ELT tooling
- You have hands-on experience across data ingestion, transformation, modelling, governance and consumption
Who this fits
This role suits an experienced Databricks engineer who enjoys client-facing delivery and collaborating across technical teams. You’ll also need to be comfortable leading or mentoring engineers. The posting is for a future UK opportunity pipeline rather than a specific vacancy, and the listed location is London.
From the employer
Continue to make an impact with a company that is pushing the boundaries of what is possible. At NTT DATA, we are renowned for our technical excellence, leading innovations, and making a difference for our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can continue to grow, belong, and thrive.
Your career here is about believing in yourself and seizing new opportunities and challenges. It’s about expanding your skills and expertise in your current role and preparing yourself for future advancements. That’s why we encourage you to take every opportunity to further your career within our great global team.
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.
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Looking ahead to future opportunities. As our business continues to grow, we are building a pipeline of exceptional talent for upcoming positions across the UK. This advertisement is intended to identify and engage candidates in advance of specific vacancies becoming available. We encourage you to apply if you would like to be considered for future opportunities that match your expertise
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:
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. Accelerate your career with us. Apply today
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