At a Glance
- Tasks: Design and build scalable data pipelines to power analytics and decision-making.
- Company: Join giffgaff, a certified B Corp with a focus on positive impact.
- Benefits: Enjoy competitive salary, hybrid working, and a supportive culture.
- Why this job: Make a real difference in a fast-paced, innovative environment.
- Qualifications: Experience in data engineering, SQL, and cloud platforms required.
- Other info: Collaborative team culture with excellent career growth opportunities.
The predicted salary is between 30000 - 42000 £ per year.
We’re looking for an Analytics Engineer to join giffgaff’s Data Engineering team and help shape the next chapter of our data platform. Having recently completed a major transformation from a legacy warehouse to a modern stack (Snowflake, dbt, Argo Workflows and Kafka), we now have strong foundations in place - and the opportunity to really maximise the value we deliver. In this role, you’ll design and build scalable, high-quality data pipelines and models that power analytics, experimentation and decision-making across the business, working at the intersection of data engineering and analytics.
Product analytics sits at the heart of this role. You’ll partner closely with Product, Data Science, BI and Engineering teams to enable self-serve analytics, support data-driven product development, and ensure meaningful, reliable insights are always available. At giffgaff, we build and own the technology we use, from APIs and events to microservices and data models, giving you real influence over how solutions are designed and delivered. We’re proud of our inclusive, supportive culture and are committed to helping everyone grow - because great data products are built by diverse teams who feel empowered to do their best work.
Do you want to join a connectivity provider that's up to good? At giffgaff, we do things differently. We call out the bad and find a better way. We're laser-focused on flexibility, value and mutual good. And we’re proud to be a certified B Corp. This means we’ve joined a network of more than 2,000 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. We’re always looking to acquire new members, and to do that we need the best people in our team.
In return for your outstanding efforts, you’ll be rewarded with a competitive salary and excellent benefits that are all about making your work life a winner. Take a look at our culture and benefits - you might just be surprised.
Our bright and modern gaff is in Uxbridge, in leafy West London. But if commuting isn’t for you, most of our roles can be hybrid or remote, or anywhere in between.
The must haves:
- 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, 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 & 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.
The other stuff we are looking for:
- Previous experience in similar analytics engineering roles with focus on product analytics and data modelling is highly desirable.
- Experience working with distributed event stores and stream-processing platforms such as Kafka or Kinesis.
- Experience working with batch processing frameworks, such as DBT, Argo Workflows, Apache Airflow, etc.
- Familiarity with Docker, Kubernetes, Amazon EKS.
- Familiarity with Continuous Integration with GitHub Actions.
- Familiarity with Test-Driven Development and XP.
What’s in it for you:
Our goal is to celebrate our people and their lives. 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 a call from one of our Talent Acquisition Partners.
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.
Analytics Engineer - giffgaff in Uxbridge employer: Giffgaff
Contact Detail:
Giffgaff Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer - giffgaff in Uxbridge
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering and analytics space, especially those at giffgaff. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio or GitHub with projects related to data pipelines or analytics, flaunt it. Real-world examples of your work can make you stand out from the crowd.
✨Tip Number 3
Prepare for the interview by diving deep into giffgaff's culture and values. They love collaboration and inclusivity, so think about how your experiences align with their mission and be ready to share!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in being part of the giffgaff family.
We think you need these skills to ace Analytics Engineer - giffgaff in Uxbridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analytics Engineer role. Highlight your experience with data pipelines, SQL, and any relevant programming languages. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and analytics, and explain why you want to join giffgaff. Let us know how you can contribute to our mission of making a positive impact.
Showcase Your Projects: If you've worked on any cool projects related to data modelling or product analytics, make sure to mention them! We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Giffgaff
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Snowflake, dbt, and Kafka. Brush up on your SQL skills and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Analytical Skills
Prepare examples of how you've built data pipelines or models that have driven product decisions. Be ready to explain your thought process and how your work has impacted business outcomes.
✨Collaborative Mindset
Since giffgaff values collaboration, think of instances where you’ve worked closely with cross-functional teams. Highlight your communication skills and how you’ve facilitated self-serve analytics for others.
✨Cultural Fit Matters
Research giffgaff’s culture and values. Be prepared to discuss how your personal values align with theirs, especially around inclusivity and making a positive impact. Show them you’re not just a tech whiz, but also a great team player!