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- Tasks: Build scalable ELT/ETL pipelines and design core data models.
- Company: Leading data analytics firm in London with a supportive culture.
- Benefits: Opportunity for technical growth and leadership development.
- Why this job: Join a dynamic team and make an impact in data engineering.
- Qualifications: 2+ years of data engineering experience, strong SQL skills, Python preferred.
- Other info: Exciting environment with opportunities for career advancement.
The predicted salary is between 28800 - 43200 £ per year.
A leading data analytics firm is seeking a Data Engineer to join their team in London. The position requires 2+ years of experience in data engineering within a modern data stack, with strong SQL skills and Python preferred.
Responsibilities include:
- Building scalable ELT/ETL pipelines
- Designing core data models
This role offers the chance to grow technically and develop leadership capabilities within a supportive environment.
Data Engineer: Build Scalable Pipelines & Insights in City of London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Pipelines & Insights in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn. A friendly chat can give us insights into the company culture and might even lead to a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data engineering projects. Highlight those scalable ELT/ETL pipelines you've built – it’s a great way to impress during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. We can even do mock interviews together to boost your confidence before the big day.
✨Tip Number 4
Apply through our website! It’s the easiest way to get your application noticed. Plus, we’re always looking for talented individuals who are ready to grow in a supportive environment.
We think you need these skills to ace Data Engineer: Build Scalable Pipelines & Insights in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with ELT/ETL pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing your SQL and Python expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. We love seeing enthusiasm and a bit of personality!
Showcase Relevant Projects: If you've worked on any projects that involved building scalable data pipelines or designing data models, make sure to mention them. We’re keen to see real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Datatech Analytics
✨Know Your Data Stack
Make sure you’re familiar with the modern data stack mentioned in the job description. Brush up on your ELT/ETL processes and be ready to discuss how you've built scalable pipelines in the past. This shows you understand the technical requirements and can hit the ground running.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL prowess during the interview. You might be asked to solve a problem or optimise a query on the spot. Practising common SQL challenges beforehand will help you feel more confident and ready to impress.
✨Highlight Your Python Experience
If Python is preferred for this role, make sure to highlight any relevant projects or experiences where you’ve used it. Be prepared to discuss how you’ve leveraged Python in data engineering tasks, as this could set you apart from other candidates.
✨Emphasise Growth and Leadership
Since the role offers opportunities for growth and leadership, think about examples from your past where you took initiative or led a project. Sharing these experiences will show that you’re not just technically skilled but also ready to step up in a supportive environment.
