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- Tasks: Build and maintain data pipelines for product and analytics.
- Company: Mission-driven tech company based in London.
- Benefits: Competitive salary, equity, and hybrid work model.
- Other info: Entry-level position with great growth potential.
- Why this job: Join a team driving AI initiatives and make a real impact.
- Qualifications: Strong in Python and SQL; AWS experience is a plus.
The predicted salary is between 60000 - 70000 £ per year.
A mission-driven technology company in London is looking for an Entry-level Data Engineer to build and maintain data pipelines that aid product and analytics. This role involves integrating data sources into a reliable data layer, ensuring quality checks, and supporting future AI initiatives.
Candidates should be strong in Python and SQL, ideally with experience in AWS.
Competitive salary of £60,000 - £70,000 plus equity, and hybrid work model offered.
Data Engineer: AI Pipelines & Data Quality (Equity, Hybrid London) employer: SENZO
Contact Detail:
SENZO Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: AI Pipelines & Data Quality (Equity, Hybrid London)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a GitHub repository with projects showcasing your Python and SQL prowess. This gives potential employers a taste of what you can do, especially for a Data Engineer role.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss how you’d tackle building and maintaining data pipelines. We want to see your thought process!
✨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 about their job search.
We think you need these skills to ace Data Engineer: AI Pipelines & Data Quality (Equity, Hybrid London)
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us know why you're excited about data engineering! Share any personal projects or experiences that highlight your enthusiasm for building data pipelines and ensuring data quality.
Highlight Relevant Skills: Make sure to emphasise your skills in Python and SQL. If you've dabbled in AWS, mention that too! We want to see how your technical abilities align with the role, so don’t hold back on showcasing your expertise.
Tailor Your Application: Take a moment to customise your application for this specific role. Refer to the job description and align your experiences with what we’re looking for. This shows us you’ve done your homework and are genuinely interested in joining our team.
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’re considered for the role. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at SENZO
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these languages in past projects or coursework, especially in relation to building data pipelines.
✨Understand Data Quality
Familiarise yourself with data quality concepts and practices. Be prepared to talk about how you would implement quality checks in a data pipeline and why they are important for AI initiatives.
✨Showcase Your AWS Knowledge
If you have any experience with AWS, make sure to highlight it! Discuss any specific services you've used, like S3 or Redshift, and how they can be integrated into data engineering tasks.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and future AI initiatives. This shows your genuine interest in the role and helps you understand how you can contribute to their mission.