VodafoneThree - Data Engineer
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Job description
Are you passionate about building reliable, scalable data solutions that turn complex information into meaningful insight? We're looking for a Data Engineer to help shape and strengthen ND&I's data capability by creating robust pipelines, optimising integrations and preparing trusted data for reporting, analytics and AI use across the function.
In this role, you'll play a key part in ensuring our data is accessible, high quality and ready to power smarter decisions. You'll work across data pipelines, transformation layers and integration workflows, helping to deliver a dependable data foundation that supports business reporting, analytics and future AI opportunities.
What you'll do
- Design, build and maintain ETL/ELT pipelines that ingest, transform and integrate data across ND&I systems.
- Develop scalable, secure and high-performing data solutions aligned to architecture standards and best practice.
- Maintain data models, storage layers and integration logic that support reporting, analytics and AI products.
- Monitor pipeline performance and resolve ingestion, transformation and data quality issues quickly and effectively.
- Embed automated validation checks, data quality rules and lineage controls to support governance and trust in the data.
- Prepare clean, structured, production-ready datasets for dashboards, analytics and modelling.
- Work closely with Data Analysts and wider stakeholders to ensure data is available, complete and fit for purpose.
- Create and maintain clear documentation for pipelines, integration flows and core data structures.
- Identify opportunities to automate manual processes, improve efficiency and support continuous improvement across the data platform.
- You'll also contribute to the ongoing evolution of ND&I's data engineering practices, helping us build a modern, resilient and insight-led data environment.
Requirements
- Strong hands-on experience building ETL/ELT solutions in cloud-based data environments.
- Proficiency in SQL and Python, or equivalent scripting languages used in data engineering.
- Experience with cloud data platforms and orchestration tools such as GCP, Snowflake, Airflow or Azure Data Factory.
- Good understanding of data modelling, data warehousing and integration patterns.
- Experience embedding data quality, validation and lineage controls into engineering processes.
- A practical approach to investigating and resolving pipeline or data quality issues.
- Familiarity with BI and analytics environments, with an understanding of how data is consumed downstream.
- Experience in telecoms or within engineering or infrastructure-led environments would be an advantage.
Benefits & conditions
Pulled from the full job description Employee discount Company pension Paid volunteer time, We care about our people's success by offering great pay, bonuses, up to 28 days off plus bank holidays, and paid time for charity work. You can personalise our benefits for you and your family, like discounts, vouchers, a pension plan and loads more. We help with your career through our amazing learning tools and top-notch parental leave policies.
Need to Know
We are regulated by the Financial Conduct Authority and all offers of employment for this role are subject to background checks, including criminal (DBS) and financial checks to meet the regulators standards.
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, a sign language interpreter, or assistive technology, please refer to the Accessibility section of our Careers website (https://careers.vodafone.com/uk/reasonable-adjustments/) for guidance.
We use AI in different parts of our business to boost innovation, improve efficiency, and create new opportunities. We know many candidates use AI to fine-tune their CVs or prepare for interviews, but what we really care about is your unique experiences and achievements.
During the interview, we want you to rely on your own knowledge and skills to show us who you really are-your personality, creativity, and abilities. Above all, we're looking for authenticity and can't wait to get to know the real you.