At a Glance
- Tasks: Build innovative ETL pipelines and data architectures for top clients using Python, SQL, and Microsoft Fabric.
- Company: Leading data consultancy in the UK with a focus on innovation.
- Benefits: Competitive salary, private healthcare, and flexible working arrangements.
- Why this job: Join a rapidly growing environment and make an impact in data architecture.
- Qualifications: Passion for data architecture and experience with Python and SQL.
The predicted salary is between 36000 - 60000 Β£ per year.
A leading data consultancy in the United Kingdom seeks a skilled Data Engineer to join their team. This role will involve building cutting-edge ETL pipelines and implementing data architectures for prestigious clients, utilizing tools like Python, SQL, and Microsoft Fabric. Candidates should have a passion for data architecture and a drive to innovate in a rapidly growing environment. Benefits include a competitive salary, private healthcare, and flexible working arrangements.
Data Engineer: Python, SQL & Microsoft Fabric (Hybrid) in London employer: Fuelius
Contact Detail:
Fuelius Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Data Engineer: Python, SQL & Microsoft Fabric (Hybrid) in London
β¨Tip Number 1
Network like a pro! Reach out to current employees at the consultancy or similar companies on LinkedIn. A friendly chat can give us insights into the company culture and maybe even a referral!
β¨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best ETL pipelines or data architecture projects. This will help us stand out during interviews and demonstrate our hands-on experience with Python, SQL, and Microsoft Fabric.
β¨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms. Focus on common data engineering questions and be ready to discuss how weβve tackled challenges in previous roles.
β¨Tip Number 4
Apply through our website! Itβs the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight our passion for data architecture and innovation in the rapidly growing environment.
We think you need these skills to ace Data Engineer: Python, SQL & Microsoft Fabric (Hybrid) in London
Some tips for your application π«‘
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data architecture shine through. Share any personal projects or experiences that highlight your love for building ETL pipelines and working with tools like Python and SQL.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data Engineer role. Highlight relevant skills and experiences that align with what weβre looking for, especially your experience with Microsoft Fabric and innovative data solutions.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and ensure your key achievements stand out. This will help us quickly see why youβd be a great fit for our team.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures you donβt miss out on any important updates about the hiring process.
How to prepare for a job interview at Fuelius
β¨Know Your Tech Stack
Make sure youβre well-versed in Python, SQL, and Microsoft Fabric. Brush up on your knowledge of ETL processes and data architectures, as youβll likely be asked to discuss how youβve used these tools in past projects.
β¨Show Your Passion for Data
During the interview, express your enthusiasm for data architecture and innovation. Share examples of how you've tackled challenges in previous roles and how you stay updated with industry trends. This will demonstrate your commitment to the field.
β¨Prepare for Scenario Questions
Expect scenario-based questions where you might need to outline how you would approach building an ETL pipeline or solving a data-related problem. Practise articulating your thought process clearly and logically, as this will showcase your problem-solving skills.
β¨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the companyβs projects or their approach to data engineering. This shows that youβre genuinely interested in the role and helps you assess if itβs the right fit for you.