Data Engineer

If you need support in completing the application or if you require a different format of this document, please get in touch with at UKI.recruitment@tcs.com or call TCS London Office number 02031552100 / +44 204 520 2575 with the subject line: “Application Support Request”.

Role: Data Engineer

Work Location: London

Role Type: Permanent

Mode of Working: Onsite

Are You Ready to Utilise Your Experience in Data Analytics?

We have an exciting role for you — 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.

• Be part of experienced team and talented team to explore more learnings and opportunities
• Collaborate with business stakeholders and wider team on enabling product and development prospects
• Support and contribute to customers success journey by implementing strategic and tactical solutions

The Role

As an experienced Data Engineer you will be responsible to help scale and mature modern data platform. You will be playing a critical part in building a trusted, scalable, and governed data warehouse environment that delivers high-quality single-source-of-truth data products across the business with a practical understanding of analytics, data modelling, testing, governance, and stakeholder collaboration.

Key responsibilities:

• Design, build, and maintain scalable analytics data models within Snowflake and dbt
• Develop and maintain trusted single-source-of-truth datasets and business-facing data products
• Implement robust testing, documentation, and governance standards across the analytics layer
• Collaborate with business analysts and stakeholders to understand reporting and analytics requirements
• Work closely with integration engineers and platform teams to onboard and model new data sources
• Manage and optimize ingestion/activation workflows using platforms such as Fivetran and Hightouch
• Support Tableau semantic layer design and reporting performance optimization
• Ensure data quality, lineage, consistency, and reliability across business domains
• Contribute to data warehouse architecture, scalability, and performance improvements
• Help establish engineering best practices including CI/CD, code reviews, observability, and version control
• Support data governance initiatives including KPI standardization and metric consistency
• Assist with data migrations, source onboarding, and modernization initiatives

Your Profile

Essential skills/knowledge/experience:

• Experience in analytics engineering, data engineering, or modern BI engineering roles
• Strong hands-on experience with Snowflake
• Advanced dbt experience including modular modeling, testing, documentation, and deployments
• Strong SQL skills with experience optimizing large-scale analytical workloads
• Experience building dimensional models and business-friendly semantic layers
• Experience with Tableau including supporting scalable reporting and dashboard development
• Hands-on experience with ingestion and activation platforms such as Fivetran and Hightouch
• Strong understanding of ELT pipelines, orchestration, and modern data stack architecture

Tools and Technology Environment

• Snowflake

• dbt

• Tableau

• Fivetran

• Hightouch

• Modern ELT and cloud data warehouse tooling

• Git / CI-CD workflows

Communication & Leadership

• Excellent stakeholder management across business and technical audiences.
• Strong communication skills and ability to collaborate across technical and business teams

Primary Objectives:

1. Build and mature a modern, scalable data platform.
2. Design and maintain a trusted, governed data warehouse environment.
3. Create high-quality single-source-of-truth data products for business teams.
4. Develop scalable analytics data models using Snowflake and dbt.
5. Improve data quality, reliability, lineage, and consistency across business domains.
6. Support business reporting and analytics through strong semantic layer and Tableau enablement.
7. Establish engineering best practices such as testing, documentation, CI/CD, code reviews, observability, and version control.
8. Partner with stakeholders, analysts, integration engineers, and platform teams to onboard and model new data sources.
9. Drive KPI standardization, metric consistency, and data governance across the organization.
10. Improve warehouse performance, scalability, maintainability, and trust in analytics outputs.

Desirable skills/knowledge/experience:

• Experience in analytics engineering, data engineering, or modern BI engineering roles
• Experience scaling greenfield or rapidly growing data warehouse environments
• Experience with customer data platforms, marketing data, or Salesforce ecosystems
• Exposure to orchestration tools such as Airflow or Dagster

Rewards & Benefits

TCS is consistently voted as 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.

We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon.

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 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.

As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at UKI.recruitment@tcs.com if you would like to opt in.

If you are an applicant who needs any adjustments to the application process or interview, please contact us at UKI.recruitment@tcs.com with the subject line: “Adjustment Request” or call TCS London Office 02031552100 / +44 204 520 2575 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.

Next Steps:

Application Process

1. Online application: You can apply directly through LinkedIn/ by uploading your CV. In case you wish to submit your application via another format like audio/video, please, contact - UKI.recruitment@tcs.com

Beware of Fraudulent offers

This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to UKI.recruitment@tcs.com to report any fraudulent activity.

Due to the 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.