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- Tasks: Design and maintain scalable data pipelines and models for seamless data flow.
- Company: Leading software company in the UK with a supportive and collaborative culture.
- Benefits: Flexible hours, wellness benefits, and great opportunities for career growth.
- Why this job: Join a team that values authenticity while making a real impact on businesses.
- Qualifications: Strong background in Python, SQL, and data engineering with three years of experience.
- Other info: Dynamic environment focused on collaboration and innovation.
The predicted salary is between 28800 - 48000 £ per year.
A leading software company in the United Kingdom is looking for a Data Engineer to design and maintain pipelines and models. You will work in a supportive environment, collaborating with teams to ensure data flows smoothly.
The ideal candidate has a strong background in Python, SQL, and data engineering, with at least three years of experience.
Competitive perks include flexible hours, wellness benefits, and opportunities for growth. Join a team that values authenticity and collaboration while helping businesses succeed.
Data Engineer: Build Scalable Pipelines & Insights employer: Pipedrive
Contact Detail:
Pipedrive Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Pipelines & Insights
✨Tip Number 1
Network like a pro! Reach out to current employees or connections in the industry. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and models. This is your chance to demonstrate your expertise in Python and SQL, making you stand out.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions. Practice explaining your past projects and how you collaborated with teams to ensure smooth data flow.
✨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 are proactive about their job search.
We think you need these skills to ace Data Engineer: Build Scalable Pipelines & Insights
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing how your background aligns with our needs, so mention any relevant projects or experiences that showcase your data engineering expertise.
Be Authentic: We value authenticity here at StudySmarter, so let your personality shine through in your application. Share your passion for data engineering and how you collaborate with others to solve problems.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It’s the easiest way for us to review your application and get you one step closer to joining our awesome team!
How to prepare for a job interview at Pipedrive
✨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 building scalable data pipelines.
✨Showcase Your Collaboration Skills
Since the role involves working closely with teams, prepare examples of how you've successfully collaborated in previous roles. Highlight any experiences where you helped ensure smooth data flows or resolved issues through teamwork.
✨Prepare for Technical Questions
Expect some technical questions related to data engineering. Practice explaining your thought process when designing pipelines or models, and be ready to tackle problem-solving scenarios that demonstrate your expertise.
✨Emphasise Your Growth Mindset
The company values opportunities for growth, so share your aspirations and how you plan to develop your skills further. Discuss any relevant courses or certifications you're considering to show your commitment to continuous learning.
