At a Glance
- Tasks: Lead the design and delivery of modern data solutions using cutting-edge technologies.
- Company: Join a forward-thinking company driving enterprise data platform strategies.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team environment with excellent career advancement opportunities.
- Why this job: Make a real impact by leading innovative data engineering projects.
- Qualifications: Proven experience in data engineering and strong leadership skills required.
The predicted salary is between 60000 - 80000 £ per year.
The Role
Technical Lead - Data Engineering and play a critical role in driving our enterprise data platform strategy.
You will lead the design, development, and delivery of modern data solutions using Snowflake, DBT, Azure/AWS, Python, Airflow, and CI/CD technologies.
This role combines deep technical expertise with leadership responsibilities, guiding engineering teams, defining best practices, and ensuring the successful delivery of scalable, secure, and high-performing data platforms.
Your responsibilities
- Lead the design and implementation of scalable and secure data platforms using Snowflake, DBT, Airflow, Python, and Azure/AWS services.
- Define technical architecture, coding standards, engineering best practices, and development frameworks for the data engineering team.
- Drive the adoption of CI/CD pipelines using Git Hub Actions, Azure Dev Ops, Jenkins, or similar tools to automate build, test, deployment, and release management processes.
- Lead the development, optimization, and maintenance of complex ETL/ELT pipelines for large-scale data processing.
- Establish Dev Ops and Data Ops practices to improve deployment efficiency, reliability, and operational excellence.
- Mentor and coach data engineers through technical guidance, code reviews, architecture reviews, and knowledge-sharing sessions.
- Collaborate with enterprise architects and business stakeholders to translate business requirements into scalable technical solutions.
- Own platform reliability, monitoring, performance tuning, and troubleshooting of production data pipelines.
- Implement Infrastructure as Code (Ia C) using Terraform/Terragrunt to automate cloud resource provisioning.
- Drive data quality, governance, security, and compliance standards across the data ecosystem.
- Lead technical discussions, solution design workshops, and project planning activities.
- Evaluate emerging technologies and recommend innovative approaches to improve data engineering capabilities and delivery processes.
- Support Agile delivery and provide technical leadership throughout the project lifecycle.
- Technical Leadership
- Proven experience as a Technical Lead, Lead Data Engineer, or similar leadership role.
- Experience leading distributed development teams and delivering large-scale data engineering projects.
- Strong stakeholder management and technical decision-making capabilities.
- Python & Data Engineering
- Expert-level proficiency in Python for data engineering, automation, orchestration, and application development.
- Strong experience developing scalable ETL/ELT frameworks using Python and SQL.
- Hands-on experience with DBT, Airflow, Snowflake, and cloud-native data services.
- CI/CD & Dev Ops
- Strong experience designing and implementing CI/CD pipelines using Git Hub Actions, Azure Dev Ops, Jenkins, Git Lab CI/CD, or similar platforms.
- Experience implementing automated testing, code quality checks, release management, and deployment automation.
- Strong understanding of Dev Ops, Data Ops, CI/CD best practices, and release governance.
- Cloud & Platform Engineering
- Extensive experience designing cloud-based data solutions on Azure and/or AWS.
- Strong knowledge of cloud security, networking, monitoring, and operational best practices.
- Experience with Infrastructure as Code using Terraform and Terragrunt.
- Data Architecture
- Expertise in Data Vault, dimensional modelling, data warehousing, and modern data platform architectures.
- Advanced SQL development and performance optimization skills.
- Experience building enterprise-grade data products and analytics platforms.
- Version Control & Engineering Practices
- Strong Git/Git Hub experience, including branching strategies, pull requests, code reviews, and release processes.
- Experience implementing engineering standards, quality gates, and development best practices.
- Communication & Stakeholder Engagement
- Excellent communication and presentation skills.
- Ability to engage with business and technical stakeholders at all levels.
- Strong problem-solving, analytical thinking, and decision-making capabilities.
- ________________________________________
Desirable Skills / Knowledge / Experience
- Experience with Generative AI and AI-powered data engineering solutions.
- Experience with Power BI, Micro Strategy, or other BI tools.
- Knowledge of Kubernetes, Docker, and containerized deployments.
- Experience with Databricks and modern lakehouse architectures.
- Azure Data Factory, Synapse Analytics, or AWS Glue experience.
- Experience implementing Data Ops frameworks and observability platforms.
- Exposure to enterprise architecture and governance frameworks.
- Languages: Python (primary), SQL, Bash
- Cloud: Azure, AWS
• Tools
- Airflow, DBT
- Data: Snowflake, Delta Lake, Redis, Azure Data Lake
- Infra & Ops: Terraform, Git Hub Actions, Azure Dev Ops, Azure Monitor
Technical Lead - Data Engineering in London employer: Tcs Uk
As a Data Governance Specialist at our company, you will be part of a dynamic team dedicated to driving customer excellence through robust data governance practices. We pride ourselves on fostering a collaborative work culture that values innovation and continuous learning, offering ample opportunities for professional growth in a supportive environment. Located in a vibrant area, our workplace not only provides a stimulating atmosphere but also encourages a healthy work-life balance, making it an ideal place for those seeking meaningful and rewarding employment.
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We think you need these skills to ace Technical Lead - Data Engineering in London
Some tips for your application 🫡
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✨Brush Up on Your Statistics
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✨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.
