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.
Key Responsibilities
* 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.
Qualifications – Must Have
* 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, BigQuery, 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.
Qualifications – Valuable Skills
* 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 GitHub Actions.
* Familiarity with Test‑Driven Development and XP.
Benefits
Competitive salary and excellent benefits.
Diversity & Inclusion
We are committed to equity, diversity and inclusion.
#J-18808-Ljbffr