Overview

TalkTalk’s vision is to be the most recommended Wi-Fi provider in the UK by 2028 with a growing, profitable base. Our aim is to deliver simplified & customer delighting Wi-Fi products and a more digital customer & employee experience, enabled by a technology platform that drives data-driven decision-making and automation.

The Data Engineering team is part of the Delivery business unit of the IT function within the Data & Automation department, alongside the Report Engineering, Data Governance, Data Migrations and Automation teams. Data Engineering combines data engineers and QA engineers who are forward-thinking, collaborative, and growth-oriented.

Be Yourself. Make an Impact. Join Us.

As a recognised Top 50 Inclusive Employer in the UK, TalkTalk is committed to building a diverse workplace that reflects the communities and customers we serve. Inclusion is part of our DNA – we’re all 100% human.

What We Offer

• Flexible hybrid working – minimum 50% office presence
• Collaborative office spaces designed for creative thinking and innovation
• Free on-site parking at our offices
• Generous holiday package – 25 days annual leave, wellbeing days, and your birthday off (plus option to buy up to 10 more days)
• Private healthcare for all employees
• Competitive pension scheme and performance-related bonus opportunities
• Free broadband for all employees
• Life event gifts and inclusive employee networks
• Salary sacrifice scheme for dental, gym, and more
• Big retail and leisure discounts
• 3 paid volunteering days per year

We’re not your traditional 9-5. We’re a dynamic, flexible workplace and we’d love to hear how you like to work.

Responsibilities

• Leading by example through hands-on development and review of a quality Python and SQL codebase.
• Contributing to a productive team culture with automated CI/CD and testing practices.
• Inputting into planning and estimating work and delivery roadmap.
• Keeping up to date with Databricks platform developments and maintaining tech currency of internal systems.
• Ensuring accurate documentation and system resilience is maintained.
• Collaborating with cross-functional teams to contribute toward TalkTalk data strategy.
• Identifying and implementing cost optimization ideas.
• Coaching and mentoring a distributed team of data engineers across multiple delivery projects.
• Establishing data governance frameworks for secure handling of delivery information.
• Identifying opportunities for improvement across data engineering projects.
• Managing relationships with stakeholders across operations, technology, and business units to understand requirements and ensure delivery.

Must Have

• 8+ years’ experience in data engineering and 1+ year as Lead Data Engineer
• Proven expertise with Microsoft Azure
• Strong proficiency in Databricks with hands-on Scala (Spark) and PySpark
• Expertise in Databricks for large-scale data engineering and analytics workloads; experience with Unity Catalog, Delta Lake, and Apache Spark
• Experience with advanced Delta Lake features (time travel, vacuum, Z-ordering)
• Develop custom solutions using Databricks APIs and integrate with external systems
• Solid understanding of SQL and relational databases
• Experience with CI/CD, Git and modern DevOps practices for data solutions
• Strong problem-solving, communication, and client-facing collaboration skills
• Exposure to machine learning or data science workflows is a plus but not required
• Hands-on with Azure DevOps pipelines (YAML, agents, service connections)
• Strong problem-solving and troubleshooting skills
• Excellent communication skills with the ability to collaborate with cross-functional teams
• Experience with data migration projects and legacy system modernization
• Desirable: Databricks Data Engineer and/or Azure Data Engineer certifications

Seniority

• Mid-Senior level

Employment Type

• Full-time

Industry

• Telecommunications

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