VodafoneThree - Data Engineer

This job is with VodafoneThree, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community.

Location: London OR Newbury + Hybrid

Salary: Excellent basic salary plus bonus and Vodafone benefits

Working hours: Full time 37.5 hours per week - Monday to Friday

Hybrid working approach allows our people to work both in the office and at home, providing the flexibility and resources you need to succeed in your role. We don't require you to be in on specific days; instead, we ask people to come into the office 2-3 days each week, for at least 8 days per month.

We're here to build a network the UK can count on - one that connects people, places and potential. Because no matter where you live, what your background is, or how you get online - we think everyone deserves the same chance to stay connected, and with VodafoneThree, that future's being built - today.

We're creating more than the UK's best network. We're helping close the digital divide, empower communities and drive meaningful progress. We believe that everyone should feel they belong. Whoever you are and whatever your story, there's space for you here. We're building a workplace where different perspectives are welcomed, voices are heard, and everyone feels safe to show up as themselves.

You'll join a team that genuinely cares - about each other, about our customers, and about the future we're building. From day one, you'll be welcomed, valued and encouraged to bring your whole self to work.

Join us and you'll be at the heart of change. That means building responsibly, investing sustainably and creating opportunities that last. We're not just expanding connectivity; we're reimagining what a connected nation looks like. With £11bn invested in 5G and digital infrastructure, your work will directly power businesses, services, and communities across the country.

You'll work on real challenges, with real impact, across every corner of the country. Wherever you join us, whatever your role, you'll be helping to build a future that works better for everyone. We move at pace, because what we're building matters - and we're learning as we go. We're proud of the progress we've made, but we're just getting started.

Join our UK Networks team, where we're continually building and enhancing our network, connecting millions of people and businesses across the country. Be part of the team that makes it all happen - simplifying, automating, and bringing better connectivity than ever before, with giga-fast speed, to our customers.

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.

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.

What you are:

• 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.

We know that everyone is unique, with multiple aspects to their identity and different experiences behind them. We are passionate about Inclusion for All and creating a workplace where everyone can thrive, whatever their personal or professional background. If you're excited about this role but your experience doesn't align exactly with every part of the job description, we encourage you to apply as you may be the right candidate for this role or another role, and our recruitment team can help you see how your skills fit in.

What we offer:

• Great pay, bonuses, up to 28 days off plus bank holidays, and paid time for charity work.
• Personalised benefits for you and your family, like discounts, vouchers, a pension plan and loads more.
• Career development through amazing learning tools and top-notch parental leave policies.

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, please refer to the Accessibility section of our Careers website for guidance.

We use AI in different parts of our business to boost innovation, improve efficiency, and create new opportunities. 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.