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- Tasks: Join us as a Senior Data Engineer, focusing on data engineering and coding.
- Company: Be part of a progressive, fast-paced data engineering business.
- Benefits: Earn up to £80,000 with opportunities for innovation and growth.
- Why this job: Work on exciting projects, collaborate with teams, and make a real impact.
- Qualifications: Experience in Python, SQL, and cloud infrastructure like AWS or Azure required.
- Other info: Show us your passion by sending a CV and cover letter!
The predicted salary is between 48000 - 64000 £ per year.
The Senior Data Engineer will work for a progressive, fast-paced data engineering business.
The Senior Data Engineer will earn up to £80,000 per year.
The Senior Data Engineer will be 80% data engineer, 20% coder.
The Senior Data Engineer will be familiar with object-oriented, function-scripting languages e.g. Python (bonus marks).
The Senior Data Engineer will have excellent database interrogation and query writing skills i.e. heavy-lifting SQL.
The Senior Data Engineer will have first-class knowledge of cloud infrastructure e.g. AWS, Azure, GCP et al.
The Senior Data Engineer will work closely with our Product, Data and Engineering teams.
The Senior Data Engineer will build high-performance, scalable, extensible data warehouse infrastructure.
The Senior Data Engineer will maintain data pipelines and orchestrate the delivery of data in batch and real-time mode.
The Senior Data Engineer will be heavily involved in data collection, analysis, enrichment, abstraction and visualisation.
The Senior Data Engineer will research, innovate and champion new ways of doing things.
The Senior Data Engineer will be familiar with reporting and data modelling tools.
The Senior Data Engineer will live and breathe “Extract. Transform. Load.”
Still with us? Great. Then please send us a CV and covering letter convincing us that you actually enjoyed reading this ad. We look forward to hearing from you.
Why this Senior Data Engineer role is like Star Wars. employer: Mongoose Gray
Contact Detail:
Mongoose Gray Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Why this Senior Data Engineer role is like Star Wars.
✨Tip Number 1
Familiarise yourself with the latest trends in data engineering and cloud infrastructure. Being able to discuss recent advancements or tools in AWS, Azure, or GCP during your interview will show that you're not just knowledgeable but also passionate about the field.
✨Tip Number 2
Prepare to demonstrate your SQL skills. You might be asked to solve a problem on the spot, so brush up on your database interrogation techniques and be ready to showcase your ability to write complex queries.
✨Tip Number 3
Think of examples from your past work where you've innovated or improved processes. The role requires someone who can research and champion new ways of doing things, so having concrete examples will help you stand out.
✨Tip Number 4
Since the job description hints at a playful tone, don’t hesitate to show your personality during the interview. If you can relate your experience to something fun, like Star Wars, it could make you memorable and demonstrate your fit with our company culture.
We think you need these skills to ace Why this Senior Data Engineer role is like Star Wars.
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly and ensure you understand the key responsibilities and requirements of the Senior Data Engineer position. Highlight your relevant experience in data engineering, coding, and cloud infrastructure.
Craft a Unique Cover Letter: Write a cover letter that not only showcases your skills but also reflects your personality. Since the job ad has a playful tone, consider incorporating a bit of creativity while still maintaining professionalism. Mention how you enjoyed reading the ad and relate it to your passion for data engineering.
Highlight Relevant Skills: In your CV, make sure to emphasise your proficiency in Python, SQL, and any cloud platforms like AWS or Azure. Provide specific examples of projects where you've successfully built data pipelines or worked with data warehouses.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at Mongoose Gray
✨Show Your Passion for Data Engineering
Make sure to express your enthusiasm for data engineering during the interview. Share specific examples of projects you've worked on that demonstrate your skills in building data pipelines and maintaining data infrastructure.
✨Demonstrate Your Technical Skills
Be prepared to discuss your experience with object-oriented and functional programming languages, particularly Python. Highlight your proficiency in SQL and any cloud platforms like AWS, Azure, or GCP that you've worked with.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities. Think about challenges you've faced in previous roles and how you overcame them, especially in relation to data collection, analysis, and visualisation.
✨Research the Company Culture
Familiarise yourself with the company's values and culture. Be ready to discuss how your personal values align with theirs, and why you're excited about the opportunity to work in a progressive, fast-paced environment.
