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- Tasks: Build and optimise data pipelines using Snowflake and cloud-native platforms.
- 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 networks supporting diversity and growth.
- Why this job: Make a real impact by solving complex data challenges in a collaborative environment.
- Qualifications: 5-8 years in data engineering with strong Snowflake expertise required.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking an accomplished and detail-oriented Snowflake Data Engineer to join our Data & AI practice. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. 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 collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data 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)
- Snowflake & Cloud Data Platforms
- 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
Experience you'll bring
- Proven experience in data engineering and pipeline development on Snowflake 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 Snowflake features (warehouses, Snowpark, data sharing, performance tuning).
- 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).
- Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon).
- Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop).
- 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 Snowflake.
- Education: University degree required. Preferred: BSc/MSc in Computer Science, Data Engineering, or related field.
- Snowflake certifications (SnowPro Core, Advanced) 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 Snowflake-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.
What we'll 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.
EEO & Additional Information
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.
Snowflake Data Engineer employer: NTT DATA
Contact Detail:
NTT DATA Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake. 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. Use platforms like GitHub to share your code and demonstrate your expertise in Snowflake and ETL/ELT tools.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and Snowflake features. Practice explaining your past projects and how you tackled challenges—this will help you shine in client-facing scenarios.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Snowflake Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake and data engineering. Use keywords from the job description to show we’re on the same page about what you bring to the table.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share specific examples of how you've tackled data challenges and collaborated in client-facing roles. Let us see your passion for data engineering!
Showcase Your Technical Skills: Don’t hold back on your technical expertise! Mention your hands-on experience with ETL/ELT tools, SQL, Python, and cloud platforms. We want to know how you can contribute to our data pipelines.
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 don’t miss out on any important updates during the process!
How to prepare for a job interview at NTT DATA
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss its features like warehouses, Snowpark, and data sharing. Prepare examples of how you've used these features in past projects to demonstrate your hands-on expertise.
✨Showcase Your Data Pipeline Skills
Be prepared to talk about your experience with ETL/ELT tools such as DBT or Matillion. Have specific examples ready that highlight your ability to develop both batch and streaming data pipelines. This will show your technical prowess and problem-solving skills.
✨Communicate Effectively
Since this role involves client engagement, practice articulating complex data concepts in a clear and concise manner. Think about how you can explain your past projects to someone without a technical background, showcasing your strong communication skills.
✨Demonstrate Collaborative Spirit
This position requires working closely with architects, developers, and analysts. Prepare to share examples of how you've successfully collaborated in team settings, especially in client-facing environments. Highlight any leadership or mentoring experiences to show your ability to guide others.