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- Tasks: Build and maintain AI-powered data pipelines while collaborating with product managers and data scientists.
- Company: Leading tech company in Manchester with a focus on innovation and diversity.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the world of data engineering.
- Qualifications: Experience in data engineering, SQL, Python, and knowledge of modern data platforms.
- Other info: Exciting environment with a commitment to diversity and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading technology company in Manchester is seeking a Data Engineer to join its innovative Data Engineering team. You will contribute to the development of data pipelines and collaborate with product managers and data scientists to maintain robust data infrastructure.
The ideal candidate has commercial experience in data engineering, proficiency in SQL and Python, and familiarity with modern data platforms. Competitive compensation and a commitment to diversity are part of our culture.
Data Engineer: AI‑Powered Data Pipelines in Manchester employer: Anaplan
Contact Detail:
Anaplan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: AI‑Powered Data Pipelines in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is a great way to demonstrate your proficiency in SQL and Python, and it’ll make you stand out from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with modern data platforms. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer: AI‑Powered Data Pipelines in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
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 our innovative team. Keep it concise but impactful!
Showcase Your Collaboration Skills: Since you'll be working closely with product managers and data scientists, it’s important to highlight any teamwork experiences. We love seeing examples of how you’ve successfully collaborated on projects in the past.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Anaplan
✨Know Your Tech Stack
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any modern data platforms you're familiar with. This will show that you’re not just a theoretical expert but someone who can apply their knowledge in real-world scenarios.
✨Understand the Company Culture
Research the company’s commitment to diversity and innovation. Be prepared to discuss how you can contribute to this culture. Showing that you align with their values can set you apart from other candidates and demonstrate that you’re a good fit for their team.
✨Prepare for Collaboration Questions
Since you'll be working closely with product managers and data scientists, think about examples from your past experiences where you successfully collaborated with cross-functional teams. Highlight your communication skills and how you’ve navigated challenges in teamwork.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current projects the Data Engineering team is working on or how they measure success in their data pipelines. This shows your genuine interest in the role and helps you gauge if it’s the right fit for you.
