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- Tasks: Build and operate data pipelines while ensuring data quality and lineage.
- Company: Cape.io, a forward-thinking tech company in Greater London.
- Benefits: Competitive salary, learning culture, and potential for career advancement.
- Other info: Great opportunity for growth into a lead position.
- Why this job: Collaborate with AI/ML engineers and work on cutting-edge data projects.
- Qualifications: 3-5 years of experience with Python, SQL, and modern data stack tools.
The predicted salary is between 50000 - 60000 £ per year.
Cape.io (formerly Peach) is seeking a Data Engineer in Greater London to build and operate data pipelines, establish data quality, and set up lineage.
Candidates should have 3–5 years of experience, solid Python and SQL skills, and hands-on experience with the modern data stack, including Airflow and AWS or GCP.
This role offers collaboration with AI/ML engineers and a potential path to a lead position. Competitive salary and a culture of learning are included.
Data Platform Engineer: Pipelines, Lineage & AI‑Ready Data in London employer: Cape.io (formerly Peach)
Contact Detail:
Cape.io (formerly Peach) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer: Pipelines, Lineage & AI‑Ready Data in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Cape.io. A friendly chat can sometimes lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your Python and SQL prowess, so make it shine!
✨Tip Number 3
Prepare for the interview by brushing up on Airflow and cloud platforms like AWS or GCP. We want you to feel confident discussing your hands-on experience with these tools.
✨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 take that extra step!
We think you need these skills to ace Data Platform Engineer: Pipelines, Lineage & AI‑Ready Data in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in real projects, so don’t hold back on the details!
Talk About Your Experience: If you've got hands-on experience with Airflow and AWS or GCP, let us know! Share specific examples of how you've built and operated data pipelines in your previous roles.
Be Yourself: We love a bit of personality! Don’t be afraid to let your unique voice shine through in your application. It helps us get to know you better and see if you’d fit into our culture.
Apply Through Our Website: For the best chance of getting noticed, make sure to apply through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Cape.io (formerly Peach)
✨Know Your Data Stack
Make sure you’re well-versed in the modern data stack, especially tools like Airflow and cloud platforms such as AWS or GCP. Brush up on how these technologies work together to build efficient data pipelines, as this will likely come up during your interview.
✨Showcase Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL. You might be asked to solve a problem or write a query on the spot, so practice common data manipulation tasks and be ready to explain your thought process clearly.
✨Understand Data Quality and Lineage
Familiarise yourself with concepts of data quality and lineage. Be prepared to discuss how you’ve ensured data integrity in past projects and how you would approach establishing lineage in a new environment.
✨Collaborate and Communicate
Since this role involves working closely with AI/ML engineers, highlight any collaborative experiences you have. Be ready to discuss how you communicate technical concepts to non-technical team members, as effective collaboration is key in this position.