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- Tasks: Design and maintain data pipelines to ensure data integrity and insights.
- Company: Dynamic tech company in the UK with a focus on innovation.
- Benefits: Generous salary, hybrid working model, and attractive perks.
- Why this job: Join a forward-thinking team and make an impact with your data skills.
- Qualifications: Strong SQL and Python skills, plus experience with orchestration tools like Dagster.
- Other info: Exciting opportunities for career growth in a collaborative environment.
The predicted salary is between 60000 - 70000 £ per year.
A dynamic tech company in the United Kingdom is seeking a Mid-Level Data Engineer. You will design, build, and maintain data pipelines, ensuring data integrity and facilitating insights. The role requires strong SQL and Python skills, along with experience in modern orchestration tools like Dagster. You can expect a hybrid working model and a range of attractive benefits, including a generous salary of £60,000 - £70,000 based on experience.
Data Engineer: Build Scalable Pipelines & Models (Hybrid) employer: Colossyan
Contact Detail:
Colossyan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Pipelines & Models (Hybrid)
✨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 refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and models. This is your chance to demonstrate your SQL and Python prowess, so make it shine!
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss your experience with orchestration tools like Dagster. Practice makes perfect, so get a friend to do mock interviews with you.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer: Build Scalable Pipelines & Models (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and Python skills, as well as any experience with orchestration tools like Dagster. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
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 your skills can help us build scalable pipelines. Keep it engaging and personal – we love a bit of personality!
Showcase Your Problem-Solving Skills: In your application, include examples of how you've tackled challenges in data engineering. We’re keen to see your thought process and how you ensure data integrity. Real-world examples can really make your application stand out!
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 you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Colossyan
✨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 challenges you faced and how you overcame them.
✨Familiarise with Orchestration Tools
Since the role mentions modern orchestration tools like Dagster, it’s a good idea to get acquainted with them. If you have experience with similar tools, be prepared to explain how you’ve used them to build scalable data pipelines.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think of scenarios where you had to ensure data integrity or optimise a pipeline. Practising your responses can help you articulate your thought process clearly during the interview.
✨Show Enthusiasm for Hybrid Work
As this position offers a hybrid working model, express your excitement about the flexibility it provides. Share how you manage your time and productivity in a hybrid environment, which can demonstrate your adaptability and self-motivation.
