Are you a Senior Data Engineer with a passion for building world-class data infrastructure? Join our high-performing Data Engineering team and help shape the future of our cloud-native data platform. We’ve recently completed a major tech transformation — moving from a legacy warehouse to a modern stack (Snowflake, dbt, Kafka, Flink, Argo Workflows) — and now we're focused on scaling, automating, and optimising our pipelines to unlock even more value for Data Science, ML, and BI teams. If you're excited by the challenge of combining Data Engineering and DevOps procedures to deliver production-ready, highly reliable data systems, we want to hear from you!
Key responsibilities;
* Pipeline Design & Build (ETL/ELT): Design and implement robust, high-volume ETL/ELT data pipelines to ingest data from various sources (including high-velocity Kafka streams and batch feeds) into our Snowflake enterprise data platform.
* Orchestration & Automation: Build, automate, and manage the lifecycle of complex data workflows using cloud-native orchestration tools like Argo Workflows running on Kubernetes.
* CI/CD Implementation: Own and maintain the Continuous Integration/Continuous Delivery (CI/CD) pipelines for data applications using tools like GitHub Actions.
* Observability & Reliability: Implement comprehensive monitoring and observability solutions, leveraging tools like Prometheus and Grafana, to track pipeline performance, detect anomalies, and ensure minimal downtime and data integrity.
* Data Quality & Governance: Establish and automate data quality checks, validation rules, and governance procedures at scale, ensuring high data reliability and strict GDPR/Security compliance.
Who we are
Do you want to join a telecoms company that’s up to good? At giffgaff we do mobile differently. We call out the bad and find a better way. We’re laser-focused on flexibility, value and mutual good.
And we’re so proud to be a certified B Corp. This means we've joined a network of more than 1,000 UK companies, who want to make a positive impact on people and the planet. Working at giffgaff is something you could be proud of too.
You’ll get the best of both worlds, the energy and fast pace of giffgaff, plus all the benefits that come with being part of our parent company, Virgin Media O2.
Our business model is unique. We work with our members (our customers) to understand their needs in all areas of the business. We love this highly collaborative approach. Over the past few years our member base has grown steadily, and we’re still going. We’re always looking to acquire new members, and to do that we need the best people in our team.
Our bright and modern gaff is in Uxbridge, in leafy West London. But if commuting isn’t your favourite, most of our roles can be hybrid or work from home, or anywhere in between. If you like coming in, you’ll always find some office buddies. And if you like big occasions, we really bring the office to life monthly for our themed culture days. Plus all our giffgaffers come together at our legendary giffgaff summer, birthday and Christmas celebrations.
The must haves
In order to be considered, you must have the following experience;
* Data Engineering Experience: Minimum of 3+ years of experience in data engineering, with a proven focus on platform reliability and automation.
* Core Languages: Deep proficiency in Python for pipeline development, and expert command of SQL for complex querying and data modeling.
* Data Warehouse: Extensive, hands-on experience with modern cloud data warehouses, specifically Snowflake.
* Data Transformation: Expert proficiency in using dbt (data build tool) for managing the transformation layer and implementing data models (e.g., dimensional modeling).
* Containerization & Orchestration: Proven experience with Docker and Kubernetes for deploying and scaling data microservices and applications.
The other stuff we are looking for
We'd also love you to bring;
* Education: Bachelor's degree in computer science, engineering, mathematics, or a related field.
* Workflow Management: Direct experience orchestrating complex data pipelines using cloud-native tools like Argo Workflows, Apache Airflow, or Prefect/Dagster.
* Cloud Platform: Experience deploying and managing data infrastructure on major cloud platforms (AWS, GCP, or Azure)
What's in it for you
Our goal is to celebrate our people, their lives and everything in-between. We aim to create a culture that empowers everyone to bring the best versions of themselves to work each and every day. We believe the most inclusive and diverse culture makes for a better business and a brighter world.
Working at giffgaff means you get a bumper reward package bursting with benefits, and loads of extras you can add if you’d like to. These are designed to support both you and your loved ones, making sure that you’re covered no matter what life throws your way.
We're all about hybrid working here, so expect to have a base location where you'll have the right facilities to enable amazing collaboration and quality time with your team, alongside all the right kit to work from home too.
Next steps
If we feel like a place where you can belong, we'd love to learn more about you as a person and your experience to date. Once you've submitted an application the next steps of the process, if successful, are likely to include three stages of interview with a Python and SQL Coding test included.
Please note: Applications will be reviewed, and interviews conducted throughout the duration of this advert, therefore we may bring the closing date forward. We encourage all interested applicants to apply as soon as possible. If you’re offered a job with us, it will be conditional, based on the passing of background checks. All roles require a criminal record check and some roles need a financial probity check. Your recruiter can provide you with more information if needed.
Thanks for your patience and for showing an interest in joining the giffgaff family.
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