At a Glance
- Tasks: Build scalable data pipelines and optimise Lakehouse architectures for advanced analytics.
- Company: Join NTT DATA, a leader in AI and digital infrastructure with a diverse culture.
- Benefits: Competitive salary, inclusive workplace, and opportunities for professional growth.
- Other info: Exciting career growth opportunities in a dynamic, innovative company.
- Why this job: Make a real impact by solving complex data challenges in a collaborative environment.
- Qualifications: Experience in data engineering, Databricks, and strong SQL/Python skills required.
The predicted salary is between 72000 - 88000 £ per year.
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.
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.
To thrive in this role, you need to have:
- Proven experience in data engineering and pipeline development on Databricks and cloud-native platforms.
- Hands-on expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption.
- Experience leading or mentoring teams of engineers to deliver high-quality scalable data solutions.
- Strong SQL and Python (or equivalent language) skills for data manipulation and automation.
- Hands-on experience with cloud platforms (AWS, Azure, GCP).
- Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
- Familiarity with medallion architectures, data lakehouse principles and distributed data processing.
- Understanding of data governance, security, and compliance frameworks.
- Exposure to AI/ML workloads desirable.
Experience:
- Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Databricks.
- Preferred: BSc/MSc in Computer Science, Data Engineering, or related field.
- Databricks certifications (Data Engineer Professional) highly desirable.
Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements. Demonstrated ability to innovate and improve data engineering practices. Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership.
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. 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.
Data Engineer - ML & AI in London employer: NTT DATA
NTT DATA is an exceptional employer that values its employees by fostering a collaborative and innovative work culture in the heart of London. With a strong emphasis on professional development, we offer numerous growth opportunities and training programs to enhance your skills in desktop support and customer service. Join us to be part of a dynamic team where your contributions are recognised and rewarded, making a meaningful impact in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - ML & AI in London
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We think you need these skills to ace Data Engineer - ML & AI in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at NTT DATA. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
