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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Tata Consultancy Services Ltd - **Location:** Greater London, UK - **Contract:** Permanent contract - **Skills:** Airflow, Data Analysis, Automation of Tests, Code Review, Continuous Integration, Customer Data Management, Information Engineering, Data Governance, Data Infrastructure, Data Warehousing, Database Queries, Dimensional Modeling, Marketing Information Systems, Performance Tuning, Cloud Services, Salesforce.Com, Software Construction, Tableau (Software), Workflow Management Systems, Snowflake, Data Layers, Git Flow, Software Version Control, Data Pipelines - **Published:** August 30, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815438090-data-engineer ## About the Role * 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 * Experience implementing data quality frameworks and automated testing * Familiarity with Git-based workflows and software engineering best practices Tools and Technology Environment Modern ELT and cloud data warehouse tooling * Excellent stakeholder management across business and technical audiences. * Strong communication skills and ability to collaborate across technical and business teams, * 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 * Experience designing governed metric layers and centralized KPI frameworks * Experience with cloud-native data platform performance optimization and cost management * Exposure to data observability or lineage tooling ## Description 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., * 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 * 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, Primary Objectives: * Build and mature a modern, scalable data platform. * Design and maintain a trusted, governed data warehouse environment. * Create high-quality single-source-of-truth data products for business teams. * Develop scalable analytics data models using Snowflake and dbt. * Improve data quality, reliability, lineage, and consistency across business domains. * Support business reporting and analytics through strong semantic layer and Tableau enablement. * Establish engineering best practices such as testing, documentation, CI/CD, code reviews, observability, and version control. * Partner with stakeholders, analysts, integration engineers, and platform teams to onboard and model new data sources. * Drive KPI standardization, metric consistency, and data governance across the organization. * Improve warehouse performance, scalability, maintainability, and trust in analytics outputs. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Why Git Still Matters](https://www.wearedevelopers.com/videos/100288-why-git-still-matters) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)