Senior Data Engineer – Build Scalable Data Pipelines

Vodafone; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Vodafone VOIS is seeking a Senior Data Engineer to design, build and operate production-grade data pipelines, models and services within the Data Products & Insights team. You will transform trusted platform data into reusable data-product capabilities, following architecture standards and delivering reliable data solutions.

You will work with Product, Architecture, Platform, Data Science and ML/AI Engineering teams, ensuring production readiness, data quality and governance while mentoring a

Qualifications

• Extensive practical experience in data engineering for production data products.
• Strong Python and SQL skills with data modelling and orchestration.
• Experience with dbt or equivalent transformation tooling.
• Production experience with cloud data services (GCP) or similar.
• Experience with batch, streaming, and API integration patterns.
• Ability to coach less‑experienced engineers through technical guidance.

Responsibilities

• Design, build and operate product-specific data pipelines, transformations, models and interfaces.
• Develop maintainable Python, SQL and dbt code with automated tests and Git workflows.
• Implement data contracts, quality rules, metadata and privacy controls.
• Own production readiness, monitoring, incident response and cost management.
• Collaborate across Product, Architecture and Platform teams to align with standards.
• Coach junior engineers and promote best practices in engineering delivery.

Skills

Python

SQL

dbt

Data modeling

Spark / data orchestration

Google Cloud Platform

Tools

Git

Airflow

Job description

Vodafone VOIS is seeking a Senior Data Engineer to design, build and operate production-grade data pipelines, models and services within the Data Products & Insights team. You will transform trusted platform data into reusable data-product capabilities, following architecture standards and delivering reliable data solutions.

You will work with Product, Architecture, Platform, Data Science and ML/AI Engineering teams, ensuring production readiness, data quality and governance while mentoring a