Analytics Engineer

Job Overview

Analytics Engineer – Full time. Located in Uxbridge, with flexible work‑from‑home options.

Join Virgin Media O2’s giffgaff team as a member of the Data Engineering squad, helping build and maintain robust data pipelines that support analytics applications across product, data science and business intelligence teams.

• Design and implement robust data models (e.g., star schema, snowflake schema, data vault).
• Develop and maintain dimensional data models to support BI and reporting requirements.
• Develop and implement analytics solutions to track key performance metrics.
• Design and build data pipelines to collect, process, and store large volumes of structured and unstructured data from various sources.
• Develop and maintain data quality checks and validation processes.
• Develop and automate reports, dashboards, and data visualisations to communicate insights and trends effectively to stakeholders.
• Build and maintain tooling and frameworks to automate data pipelines for experimentation and ML modelling.
• Develop and maintain a deep understanding of product domains to ensure relevant events are produced and new entities and processes are integrated downstream in the Snowflake data platform model.
• Monitor and troubleshoot data pipeline issues and provide timely resolution.
• Work closely with product managers, data scientists, product analysts and software engineers to identify analytical requirements.

• Bachelor's degree in computer science, engineering, mathematics, or a related field.
• 3+ years of experience in data/analytics engineering with a focus on building data pipelines.
• Proficiency in SQL and experience with one or more programming languages such as Python or Java.
• Experience with modern cloud data warehouse platforms such as Snowflake, Big Query, Redshift or similar.
• Experience with cloud‑based data platforms, particularly AWS or GCP.
• Experience with data warehousing, data modelling, and ETL development.
• Strong analytical and communication skills and an understanding of what drives the performance of a product to reach the company's commercial goals.
• Hands‑on experience with data visualisation tools such as Tableau, Looker, Streamlit or Power BI.
• Strong problem‑solving skills and attention to detail.

• Previous experience in similar analytics engineering roles with a focus on product analytics and data modelling.
• Experience with distributed event stores and stream‑processing platforms such as Kafka or Kinesis.
• Experience with batch processing frameworks such as DBT, Argo Workflows, Apache Airflow, etc.
• Familiarity with Docker, Kubernetes, Amazon EKS.
• Familiarity with Continuous Integration using Git Hub Actions.
• Familiarity with Test‑Driven Development and XP.

Competitive salary and excellent benefits.

We are committed to equity, diversity and inclusion.