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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 per year with exciting growth opportunities.
- Why this job: Work on innovative projects and collaborate with dynamic teams in a vibrant culture.
- Qualifications: Experience with Python, SQL, and cloud infrastructure like AWS or Azure is essential.
- Other info: Show us your passion for data 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-orientated, 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 realtime 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.”
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 emphasises research and championing new methods, so having concrete examples will help you stand out as a proactive candidate.
✨Tip Number 4
Since the job description hints at a fun and engaging culture, don’t hesitate to show your personality during the interview. A little humour or enthusiasm can go a long way in making a memorable impression.
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 skills required for the Senior Data Engineer position. Highlight your relevant experience in data engineering, coding, and cloud infrastructure.
Craft a Tailored CV: Create a CV that specifically addresses the requirements mentioned in the job ad. Emphasise your experience with SQL, Python, and any cloud platforms like AWS or Azure. Use quantifiable achievements to demonstrate your impact in previous roles.
Write a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the job description and include a personal touch by referencing the 'Star Wars' theme of the ad. Show that you enjoyed reading it!
Proofread Your Application: Before submitting, carefully proofread both your CV and cover letter. Check for spelling and grammatical errors, and ensure that your documents are well-structured and easy to read. A polished application reflects your attention to detail.
How to prepare for a job interview at Mongoose Gray
✨Show Your Passion for Data
Make sure to express your enthusiasm for data engineering during the interview. Talk about projects you've worked on and how they relate to the role. This will demonstrate that you not only have the skills but also a genuine interest in the field.
✨Prepare for Technical Questions
Expect to be asked about your experience with SQL, Python, and cloud infrastructure. Brush up on your technical knowledge and be ready to discuss specific challenges you've faced and how you overcame them. This will showcase your problem-solving abilities.
✨Familiarise Yourself with the Company
Research the company’s data engineering practices and any recent projects they've undertaken. Being able to reference their work during the interview shows that you are proactive and genuinely interested in contributing to their team.
✨Demonstrate Team Collaboration Skills
Since the role involves working closely with Product, Data, and Engineering teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully worked with others to achieve common goals.
