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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-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.”
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.
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 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 practice writing complex queries and think about how you can optimise them for performance.
✨Tip Number 3
Showcase your coding abilities by discussing any relevant projects you've worked on, especially those involving Python. If you have a GitHub profile, make sure it's up to date with your best work to share during the interview.
✨Tip Number 4
Research StudySmarter's culture and values. Understanding our mission and how we operate will help you align your answers with what we're looking for, making you a more attractive candidate.
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. Make sure you understand the key responsibilities and skills required for the Senior Data Engineer position, such as familiarity with Python, SQL, and cloud infrastructure.
Craft a Tailored CV: Highlight your relevant experience and skills in your CV. Focus on your data engineering background, coding abilities, and any specific projects that demonstrate your expertise in building data pipelines and working with cloud technologies.
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 requirements and include a personal touch by referencing the unique aspects of the job ad, like the Star Wars analogy.
Proofread Your Application: Before submitting, carefully proofread both your CV and cover letter. Check for any spelling or grammatical errors, and ensure that your documents are well-structured and easy to read.
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
Since this role involves heavy SQL and cloud infrastructure, be ready to answer technical questions related to these areas. Brush up on your SQL skills and be prepared to discuss your experience with AWS, Azure, or GCP.
✨Demonstrate Problem-Solving Skills
Be prepared to discuss how you've tackled challenges in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving abilities.
✨Research the Company Culture
Understanding the company's culture is key. Look into their values and work environment, and think about how you can contribute to their team. This will help you tailor your responses and show that you're a good fit for their progressive, fast-paced environment.
