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- Tasks: Enhance data pipelines and maintain data platform features for a leading media company.
- Company: Join a top media company with a focus on innovation and collaboration.
- Benefits: Competitive salary, uncapped leave, profit sharing bonuses, and wellbeing perks.
- Why this job: Make an impact in the B2C division while working with cutting-edge data technologies.
- Qualifications: Experience in Python, SQL, data modelling, and ETL skills required.
- Other info: Exciting hybrid role based in Bath with great career growth potential.
The predicted salary is between 45000 - 50000 £ per year.
A leading media company is seeking a Data Engineer to enhance their data pipelines for the B2C division. This hybrid role based in Bath involves maintaining data platform features and delivering key projects.
Candidates should have experience in Python and SQL, and strong data modelling and ETL skills.
The position offers a competitive salary between £45,000 - £50,000, uncapped leave, profit sharing bonuses, and various wellbeing perks.
Hybrid Data Engineer - Python, BigQuery & CI/CD employer: Future plc
Contact Detail:
Future plc Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer - Python, BigQuery & CI/CD
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any data pipelines you've built. This is your chance to shine and demonstrate your expertise in a practical way.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and ETL knowledge. We recommend practising common data engineering scenarios and being ready to discuss how you've tackled similar challenges in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Hybrid Data Engineer - Python, BigQuery & CI/CD
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and data modelling. 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 Data Engineer position and how you can contribute to enhancing our data pipelines. Keep it engaging and personal!
Showcase Your Projects: If you've got any cool projects or experiences related to ETL processes or data platforms, make sure to mention them. We love seeing practical examples of your work that demonstrate your skills in action!
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’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Future plc
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to data modelling and ETL processes. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Showcase Your Projects
Prepare to talk about specific projects where you've enhanced data pipelines or worked on data platform features. Highlight your role, the challenges you faced, and how you overcame them. This gives the interviewer a clear picture of your hands-on experience and problem-solving abilities.
✨Understand the Company’s Needs
Research the media company and its B2C division. Understand their data challenges and think about how your skills can help solve them. Tailoring your answers to align with their goals will demonstrate your genuine interest in the role and the company.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. Inquire about their current data projects, team dynamics, or future technology plans. This shows that you’re engaged and eager to contribute to their success.