Data Platform Engineer: Pipelines, Lineage & AI‐Ready Data in London
Data Platform Engineer: Pipelines, Lineage & AI‐Ready Data

Data Platform Engineer: Pipelines, Lineage & AI‐Ready Data in London

London Full-Time 50000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • 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: Exciting opportunity to grow into a lead position in a dynamic environment.
  • Why this job: Collaborate with AI/ML engineers and shape the future of data.
  • Qualifications: 3-5 years experience, strong Python and SQL skills, modern data stack knowledge.

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)

Cape.io is an exceptional employer located in Greater London, offering a vibrant work culture that prioritises collaboration and continuous learning. As a Data Platform Engineer, you will have the opportunity to work alongside AI/ML engineers, enhancing your skills while contributing to innovative projects. With a competitive salary and clear pathways for career advancement, Cape.io is dedicated to fostering employee growth and creating a rewarding work environment.
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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.

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 noticed. 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

Python
SQL
Data Pipeline Development
Data Quality Assurance
Data Lineage
Airflow
AWS
GCP
Collaboration with AI/ML Engineers
Experience with Modern Data Stack
Problem-Solving Skills
Adaptability
Learning Agility

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-world scenarios, especially with data pipelines and the modern data stack.

Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their CVs and cover letters to reflect the specific requirements of the Data Engineer role. Show us why you’re the perfect fit for Cape.io!

Share Your Experience: If you've got hands-on experience with Airflow, AWS, or GCP, make sure to mention it! We’re looking for someone who can hit the ground running, so any relevant projects or achievements will definitely catch our eye.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Cape.io (formerly Peach)

Know Your Tech Stack

Make sure you’re well-versed in the modern data stack mentioned in the job description. Brush up on your Python and SQL skills, and be ready to discuss your experience with tools like Airflow and cloud platforms such as AWS or GCP. This will show that you’re not just familiar but also confident in using these technologies.

Showcase Your Pipeline Experience

Prepare specific examples of data pipelines you've built or operated in the past. Be ready to explain the challenges you faced, how you ensured data quality, and how you established lineage. This will demonstrate your hands-on experience and problem-solving skills, which are crucial for the role.

Collaboration is Key

Since this role involves working closely with AI/ML engineers, think about times when you’ve collaborated with others on projects. Be prepared to discuss how you communicate technical concepts to non-technical team members and how you’ve contributed to a team environment. This will highlight your teamwork skills.

Embrace the Learning Culture

Cape.io values a culture of learning, so express your enthusiasm for continuous improvement. Share any recent courses, certifications, or personal projects that showcase your commitment to staying updated in the field. This will align you with their values and show that you’re eager to grow within the company.

Data Platform Engineer: Pipelines, Lineage & AI‐Ready Data in London
Cape.io (formerly Peach)
Location: London

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