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- Tasks: Design and build scalable data infrastructure and develop ETL/ELT pipelines.
- Company: Prominent business operations firm in Greater London with a supportive team culture.
- Benefits: Competitive salary, flexible working options, and a collaborative environment.
- Why this job: Join a dynamic team and make an impact by translating business needs into data solutions.
- Qualifications: 2-3 years of experience with advanced SQL and Python skills.
The predicted salary is between 45000 - 55000 £ per year.
A prominent business operations firm in Greater London is seeking a Data Engineer to design, build, and maintain data infrastructure. The role involves developing ETL and ELT pipelines, integrating data from various platforms, and translating business needs into data solutions.
Candidates should have 2-3 years of experience, along with advanced SQL and Python proficiency. The position offers a competitive salary, flexible working options, and a supportive team environment.
Data Engineer: Build Scalable ETL/Semantic Models | Hybrid employer: Avk-Seg
Contact Detail:
Avk-Seg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable ETL/Semantic Models | Hybrid
✨Tip Number 1
Network like a pro! Reach out to current Data Engineers or professionals in the field on LinkedIn. Ask them about their experiences and any tips they might have for landing a role like this.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines or any data projects you've worked on. This gives you a chance to demonstrate your advanced SQL and Python skills in a practical way.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions. Think about how you can translate business needs into data solutions, as that’s key for this role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Data Engineer: Build Scalable ETL/Semantic Models | Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL and ELT pipelines, as well as your SQL and Python skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
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 candidates who can translate business needs into data solutions.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for someone who can think critically and creatively when building data infrastructure, so let us know how you’ve done this before!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Avk-Seg
✨Know Your ETL and ELT Inside Out
Make sure you can confidently discuss your experience with ETL and ELT pipelines. Prepare specific examples of projects where you've designed or maintained these systems, as this will show your practical knowledge and problem-solving skills.
✨Brush Up on SQL and Python
Since advanced SQL and Python proficiency is a must, take some time to review key concepts and common functions. Be ready to demonstrate your coding skills during the interview, perhaps even through a live coding exercise or a technical assessment.
✨Understand the Business Needs
Familiarise yourself with how data solutions can translate business needs into actionable insights. Think about how you can articulate your understanding of the company's operations and how your role as a Data Engineer can contribute to their success.
✨Showcase Your Team Spirit
This role is in a supportive team environment, so be prepared to discuss how you collaborate with others. Share examples of how you've worked effectively in teams, resolved conflicts, or contributed to a positive team culture in previous roles.