Senior Data Engineer

Job Type: Permanent

Location: London

Ready to use your skills in data engineering to drive innovation and business value at a retail leader?

Are you passionate about building data pipelines that enable powerful analytics and data-driven decisions?

Join us as a Senior
Data Engineer!

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 an exciting team where you will be challenged every day.
• Work closely with the range of teams within the business to bring products to life.
• Work with customers and identify opportunities to support their strategy and improve their processes across functions.

As a Senior Data Engineer
, you will play a crucial role in designing, developing, and maintaining scalable data pipelines, ensuring high-quality data is available for decision-making across the business. You’ll collaborate closely with data architects, product teams, analysts, and data scientists to implement data solutions that power analytics and reporting. In this role you’ll be part of a dynamic and innovative team, working on cutting-edge technologies to deliver impactful data products for our retail chain

• ETL Pipeline Development
  :
  Develop, optimize, and maintain ETL pipelines to efficiently extract, transform, and load data from various sources, ensuring high data quality.
• Monitor and troubleshoot production data pipelines
  , ensuring their performance and reliability.
• Mentor junior engineers and lead technical discussions to drive best practices and innovation within the team.
• Stay up to date with the latest trends and technologies in data engineering and recommend solutions to improve data processing capabilities.
• Query Optimization & Data Transformation
  :
  Write and optimize SQL queries, ensuring data integrity, performance, and scalability, using best practices and techniques
• Data vault Model implementation
  :
  Implement flexible Data vault model in Snowflake to support large-scale analytics and business intelligence.
• Cross-Team Collaboration
  :
  Collaborate with Data Engineers, Product Managers, and Data Scientists to deliver solutions that support data-driven insights and innovation.
• Stakeholder Engagement
  :
  Engage with business stakeholders to understand requirements and translate them into technical solutions that add value.
• Data Quality & Governance
  :
  Implement and enforce data governance and quality processes, ensuring accurate and consistent data flows across all systems.
• Cloud & Infrastructure Support
  :
  Work with cloud platforms such as AWS/Azure and DBT with Snowflake to build and maintain scalable data solutions.

• ETL/ELT & Data Pipelines: Solid understanding of ETL/ELT processes, along with hands‑on experience building and maintaining data pipelines using DBT, Snowflake, Python, SQL, Terraform and Airflow
• Experience in designing and implementing data products and solutions on cloud-based architectures.
• Cloud Platforms: Experience working with cloud data warehouses and analytics platforms, such as Snowflake, and AWS/Azure
• Git Hub
  
  Skills and Experience:
  
  Proficiency in using Git Hub for version control, code collaboration and managing data engineering projects
• Data Governance and Compliance
  :
  Expertise in implementing data governance frameworks in Alation, including data quality management and compliance with industry regulations.
• Effective Communication and
  
  Collaboration:
  
  Excellent communication skills for interacting with stakeholders, presenting technical concepts, and collaborating with cross-functional teams.
• Collaboration & Communication: Strong interpersonal skills with the ability to work cross‑functionally with stakeholders, engineers, and analysts.
• SQL Proficiency: Expertise in writing complex SQL queries, query optimization, and…