At a Glance
- Tasks: Build scalable data pipelines and optimise Lakehouse architectures on Databricks.
- Company: Join a global tech leader transforming the world with innovative data solutions.
- Benefits: Flexible work options, tailored benefits, and continuous learning opportunities.
- Other info: Inclusive culture with various support networks and commitment to diversity.
- Why this job: Make a real impact in advanced analytics and AI while collaborating with brilliant minds.
- Qualifications: 5-8 years in data engineering with strong Databricks expertise required.
The predicted salary is between 36000 - 60000 £ per year.
The team you will be working with: 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.
What you will be doing:
- 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
What experience you will bring:
Competencies / Critical Skills:
- 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.
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.
Who we are: We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects. Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation.
We are also proud to share that we have a range of Inclusion Networks such as: the Women’s Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.
What we will offer you: We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.
We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.
Databricks Data Engineer in London employer: NTT
At NTT DATA, we pride ourselves on being an exceptional employer that champions diversity and inclusion while fostering a culture of continuous growth and innovation. As a Databricks Solution Architect, you will have the opportunity to work with cutting-edge technologies in a collaborative environment, driving impactful data solutions for our clients. With a commitment to employee development and a focus on meaningful work, NTT DATA is the ideal place for professionals looking to advance their careers in a dynamic and supportive setting.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects on Databricks. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving complex data challenges, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Databricks Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Databricks Data Engineer role. Highlight your experience with data pipelines, ETL/ELT workflows, and any relevant projects that showcase your skills in Databricks and cloud platforms.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our needs. Don’t forget to mention your collaborative spirit and problem-solving skills!
Showcase Your Technical Skills:Be specific about your technical expertise in your application. Mention your hands-on experience with tools like Spark, SQL, and Python, as well as any Databricks certifications you hold. We love seeing those details!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at NTT
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Be ready to discuss your hands-on experience with Spark, Delta Lake, and any ETL/ELT tools you've used. Prepare examples of how you've built scalable data pipelines and optimised Lakehouse architectures.
✨Showcase Your Problem-Solving Skills
During the interview, be prepared to tackle some real-world data challenges. Think of specific scenarios where you've solved complex problems in data engineering. This will demonstrate your analytical skills and ability to think on your feet.
✨Highlight Collaboration Experience
Since this role involves working closely with clients and other teams, share examples of how you've successfully collaborated in a client-facing environment. Discuss any mentoring experiences or teamwork that led to high-quality data solutions.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data practices, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
