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For Companies At a Glance
- Tasks: Design and develop data pipelines using cutting-edge technologies.
- Company: Join Tata Consultancy Services, a top employer committed to diversity and innovation.
- Benefits: Enjoy competitive salary, health care, and extensive training resources.
- Other info: Be part of a diverse culture with numerous social networks and volunteering opportunities.
- Why this job: Make a real impact in data engineering while working with leading brands.
- Qualifications: Experience with AWS, Python, and data engineering practices required.
The predicted salary is between 60000 - 80000 £ per year.
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.
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 GenAI 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, CloudWatch AWS SDKs, Boto3, and serverless architecture patterns.
- Strong programming skills in Python and Apache Spark.
- Snowflake SQL, Snowpipe, Streams & Tasks, and performance optimisation.
- Integration with AWS services and orchestration tools.
- Expertise in data integration patterns, ETL/ELT, and data pipeline orchestration.
- Experience with data quality frameworks, metadata management, and data lineage.
- Hands‑on experience with machine learning pipelines and generative AI engineering.
- Familiarity with DevOps practices, CI/CD for data workflows, and infrastructure‑as‑code (e.g., Terraform, CloudFormation).
- Proven track record of delivering data engineering solutions in banking and/or insurance environments.
- Deep understanding of financial data models, regulatory compliance, and risk and fraud analytics.
- Experience working with cross‑functional teams in regulated, data‑sensitive environments.
- AWS Certified Solutions Architect – Professional or equivalent.
- Experience with data mesh, data product thinking, or domain‑driven design.
- Exposure to real‑time data processing (e.g., Kinesis, Kafka).
- Experience in highly regulated industries such as banking or insurance.
TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.
Diversity, Inclusion and Wellbeing
Tata Consultancy Services UK&I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998. We believe in building and sustaining a culture of equity and belonging where everyone can thrive. Our diversity and inclusion motto is ‘Inclusion without Exception’. Our continued commitment to Culture and Diversity is reflected across our workforce implemented through equitable workplace policies and processes. You’ll find a welcoming culture and many internal volunteering and social networks to join (these are optional). Our diversity, inclusion and social activities include 12 employee networks such as gender diversity, LGBTQIA+ & Allies, mental health, disability & neurodiversity inclusion and many more, as well as health & wellness initiatives and sports events and we sponsor the London Marathon. We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role.
If you are an applicant who needs any adjustments to the application process or interview, please contact us to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.
Next Steps
Due to a high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion. Join us and do more of what matters. Apply online now.
Seniority level: Associate
Employment type: Full‑time
Job function: Information Technology
Industries: IT Services and IT Consulting
Data Engineer employer: Tata Consultancy Services
Contact Detail:
Tata Consultancy Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. Building relationships can open doors that applications alone can't.
✨Tip Number 2
Prepare for those interviews! Research the company and role thoroughly, and practice common interview questions. The more you know, the more confident you'll feel.
✨Tip Number 3
Showcase your skills! If you have a portfolio or projects, bring them along to interviews. Demonstrating your work can set you apart from other candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at TCS.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Principal Data Engineer role. Highlight your experience with AWS, Snowflake, and any relevant projects in banking or insurance. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data and analytics, and how you can make an impact at TCS. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention your hands-on experience with AWS services, Python, and any data engineering frameworks you’ve worked with. We’re keen to see your expertise in action!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the info you need about the role there!
How to prepare for a job interview at Tata Consultancy Services
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS cloud-native data platforms and tools like Snowflake, Python, and Apache Spark. Brush up on your knowledge of data ingestion, integration, and transformation frameworks, as these will likely be key discussion points during the interview.
✨Showcase Your Experience
Prepare to discuss your previous projects, especially those related to banking or insurance. Highlight specific challenges you faced and how you overcame them, focusing on your role in delivering data engineering solutions and any improvements you implemented.
✨Demonstrate Collaboration Skills
Since the role involves working with cross-functional teams, be ready to share examples of how you’ve successfully collaborated with others. Talk about how you’ve mentored team members or worked alongside ML and GenAI teams to operationalise models into production pipelines.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in TCS’s culture and projects. Inquire about their approach to diversity and inclusion, or ask how they foster innovation within their teams. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your values.