At a Glance
- Tasks: Design and develop data pipelines using cutting-edge technologies.
- Company: Join Tata Consultancy Services, a purpose-led transformation company.
- Benefits: Enjoy competitive salary, learning opportunities, and a collaborative work environment.
- Other info: Opportunity to mentor a team and drive continuous improvement.
- Why this job: Make a meaningful impact through innovative data engineering projects.
- Qualifications: Experience with AWS data platforms and strong programming skills in Python.
The predicted salary is between 72000 - 88000 £ per year.
UK Recruiter | HR Professional | End to End Recruitment | Tata Consultancy Services If you need support in completing the application or if you require a different format of this document, please get in touch with at or call TCS London Office number with the subject line: “Application Support Request”.
- Role: Principal Data
- Engineer
- Job
Type: Permanent Number of hours: 40 hours per week – full time Are you passionate about Data and Analytics?
We have an exciting role for you – Principal Data Engineer.
Careers at TCS: It means more TCS is a purpose‑led transformation company, built on belief.
We do not just help businesses to transform through technology.
We support them in making a meaningful difference to the people and communities they serve – our clients include some of the biggest brands in the UK and worldwide.
For you, it means more to make an impact that matters, through challenging projects which demand ambitious innovation and thought leadership.
Build strong relationships with a diverse range of stakeholders.
Gain access to endless learning opportunities.
Work closely with the range of teams within the business to bring products to life.
The Role As a Principal Data Engineer, you will be responsible for the technical design, engineering quality, and delivery of data ingestion, integration, transformation, and data product pipelines.
The ideal candidate will bring deep expertise in AWS cloud‑native data platforms, Snowflake, and modern data engineering practices, with proven experience in banking and insurance domains.
Key responsibilities Lead the design and development of data ingestion, integration, and transformation frameworks.
Architect and deliver data products that are modular, reusable, and aligned with business domains.
Ensure technical accountability for detailed design, engineering quality, and delivery of all data engineering solutions.
Drive continuous improvement in engineering processes to enhance efficiency, production stability, and ROI.
Manage and own the technical debt process, ensuring long‑term maintainability and scalability.
Collaborate with ML and Gen AI teams to operationalize models into production pipelines.
Ensure observability, data quality, lineage, and governance across the data lifecycle.
Mentor and lead a team of engineers, fostering a culture of innovation and technical excellence.
Your Profile Essential skills, knowledge, experience Deep hands‑on experience with AWS Cloud‑native data platforms, including: AWS Glue, Lambda, Step Functions, Athena, Redshift, S3, Cloud Watch AWS SDKs, Boto3, and serverless architecture patterns Strong programming skills in Python and Apache Spark Snowflake SQL, Snowpipe, Streams
Data Engineer employer: Tata Consultancy Services Limited
As an IBM WebMethods Developer, you will thrive in a dynamic and innovative work environment that prioritises employee growth and collaboration. Our company offers comprehensive benefits, a supportive culture that encourages continuous learning, and unique opportunities to work on cutting-edge integration solutions in a vibrant location. Join us to be part of a team that values your contributions and fosters meaningful career advancement.
Contact Details:
Tata Consultancy Services Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Tata Consultancy Services Limited!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineer at Tata Consultancy Services Limited.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Tata Consultancy Services Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Tata Consultancy Services Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Tata Consultancy Services Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Tata Consultancy Services Limited. 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!
How to prepare for a job interview at Tata Consultancy Services Limited
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Tata Consultancy Services Limited!
✨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.
