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- Tasks: Drive a top brand's Data team and optimise user acquisition and retention.
- Company: Successful tech-driven business with a focus on innovation.
- Benefits: Salary up to £100k, hybrid working, 30 days 'work from anywhere', and generous holiday.
- Other info: Broad career progression opportunities across a group of high-profile brands.
- Why this job: Make a real impact on millions of users while using the latest tech.
- Qualifications: Strong Python skills and expertise in modern data architecture.
The predicted salary is between 90000 - 110000 £ per year.
Want to drive a top brand's Data team with 1m+ users? If you love Python, implementing robust data pipelines and driving best Data practices, you may be interested in a Staff Data Engineer role with a highly successful Tech driven business, where you'd drive the Data function playing a key role optimising the acquisition and retention of users.
Your work will serve millions of users a month, process thousands of requests a day, and enable hundreds of integrations with partners.
Salary: to £100k + 10% Bonus, pension to 7.5%, Hybrid working (2 days in the Cardiff office), 30 days per year 'work from anywhere', 27 days holiday (raising to 32), L&D budget, Health insurance, excellent maternity/paternity/adoption leave.
What you'll like:
- You'd scale and improve a top brand's Data function, optimising retention of millions of users and having a real life impact.
- You'd have autonomy over Tech to pick the latest, best languages/frameworks for the job!
- You'll have broad career progression opportunities across Group, which includes several high profile household names.
What you'll bring:
- Strong Python and TDD skills.
- Expertise in modern data architecture (dimensional modelling, data mesh, data lake) and best practices (agile, CI/CD, IaC, observability).
- Experience with Cloud and big data technologies (e.g. Spark/Databricks/Delta Lake/BigQuery).
- Familiarity with eventing technologies (e.g. Event Hubs/Kafka) and file formats such as Parquet / Delta / Iceberg.
Want to learn more? Get in touch for an informal chat.
Staff Data Engineer in Cardiff employer: Identify Solutions
Contact Detail:
Identify Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Engineer in Cardiff
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. We all know that sometimes it's not just what you know, but who you know that can help you land that Staff Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, data pipelines, and any cool stuff you've built. This is your chance to demonstrate your expertise in modern data architecture and grab the attention of hiring managers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around cloud technologies and big data tools like Spark and Databricks. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Apply through our website! We make it super easy for you to find and apply for roles that match your skills. Plus, it shows you're genuinely interested in joining our team and helps us get to know you better right from the start.
We think you need these skills to ace Staff Data Engineer in Cardiff
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Staff Data Engineer role. Highlight your Python skills and experience with data architecture, as these are key for us. Use specific examples that showcase your expertise in modern data practices.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about data engineering and how you can contribute to our team. Mention any relevant projects or experiences that align with our goals at StudySmarter.
Showcase Your Technical Skills: Don’t forget to highlight your technical skills in your application. We love seeing experience with cloud technologies and big data tools, so make sure to include those. If you've worked with eventing technologies, give us the details!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the latest updates from us. Plus, it’s super easy!
How to prepare for a job interview at Identify Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your Python skills and be ready to discuss your experience with data architecture. Be prepared to explain how you've implemented robust data pipelines in the past and how you approach TDD. This is your chance to showcase your technical expertise!
✨Showcase Your Problem-Solving Skills
Think of specific examples where you've optimised data functions or improved user retention. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your impact and how you can contribute to their team.
✨Familiarise Yourself with Their Tech Stack
Research the cloud and big data technologies mentioned in the job description, like Spark, Databricks, and BigQuery. If you have experience with eventing technologies like Kafka, be ready to discuss that too. Showing that you understand their tech stack will impress them!
✨Ask Insightful Questions
Prepare some thoughtful questions about their data function and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with the interviewers and make a memorable impression.