At a Glance
- Tasks: Enhance data pipelines and develop features for B2B and Go.Compare divisions.
- Company: Future Publishing, a forward-thinking company based in Bath.
- Benefits: Uncapped leave, profit sharing, wellbeing support, and competitive salary.
- Other info: Hybrid role with opportunities for professional growth and innovation.
- Why this job: Join a dynamic team and work on exciting Big Data projects using Python and SQL.
- Qualifications: Experience in data engineering and proficiency in Python and SQL.
The predicted salary is between 50000 - 60000 € per year.
Future Publishing in Bath is seeking a Data Engineer to enhance their data pipelines for B2B and Go.Compare divisions. This hybrid role involves developing data platform features, automating BAU processes, and utilizing skills in Python and SQL on Google Cloud for Big Data projects.
The expected salary range is £50,000 to £60,000, with added perks like uncapped leave, profit sharing, and wellbeing support.
Senior Data Engineer, Hybrid | Build Data Pipelines employer: Future Publishing
Future Publishing is an exceptional employer located in the vibrant city of Bath, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from generous perks such as uncapped leave, profit sharing, and comprehensive wellbeing support, alongside ample opportunities for professional growth within the rapidly evolving field of data engineering. Join us to be part of a forward-thinking team dedicated to building impactful data solutions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer, Hybrid | Build Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Future Publishing on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your Python and SQL prowess. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Get comfortable with common data engineering interview questions. We can even do mock interviews with friends to boost our confidence before the big day.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role at Future Publishing.
We think you need these skills to ace Senior Data Engineer, Hybrid | Build Data Pipelines
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects you've worked on!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to enhancing our data platform features. Keep it engaging and personal – we love a bit of personality!
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've automated processes or solved complex data challenges. We’re looking for someone who can think critically and innovate, so let us know how you’ve done this in the past!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Future Publishing
✨Know Your Data Tools
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to building data pipelines or working with Google Cloud.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've automated processes or solved complex data challenges in previous roles. Future Publishing will want to see your ability to think critically and improve BAU processes.
✨Understand the Company’s Needs
Research Future Publishing and their B2B and Go.Compare divisions. Tailor your answers to show how your experience aligns with their goals, particularly in enhancing data platforms and supporting their business objectives.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, current projects, and future goals of the data engineering team. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
