Data Engineer

Data Engineer

Full-Time 60750 - 74250 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Migrate business logic to Flink jobs and lead Payment Lifecycle projects.
  • Company: Dynamic tech company focused on data engineering and analytics.
  • Benefits: Hybrid working model, offering flexibility and work-life balance.
  • Other info: Opportunity to work with cutting-edge technologies and grow your career.
  • Why this job: Join a team that values innovation and optimises engineering workflows.
  • Qualifications: Experience in data/software engineering and proficiency in Java or Python.

The predicted salary is between 60750 - 74250 £ per year.

Responsibilities

  • Shift left processing by migrating existing business logic from dbt/SQL into Flink stream-processing jobs (Java/Python).
  • Take the lead on the Payment Lifecycle Flink jobs, moving them from Data Platform ownership into the Analytics domain.
  • Be responsible for the health, monitoring (Datadog), and deployment (Argo CD/Terraform) of these critical pipelines.
  • Work with Apache Iceberg to manage state and lookups for long payment lifecycles.
  • Take initiative to improve and optimise engineering workflows and platforms.
  • Key Requirements
  • Proven delivery experience in data or software engineering.
  • Comfortable writing and debugging production-grade Java or Python.
  • Hands‑on experience with Apache Flink (or similar engines like Spark Streaming/Kafka Streams) and Apache Kafka.
  • Understanding of checkpoints, watermarking, and state management.
  • Familiarity with the modern Dev Ops stack: Docker, Kubernetes, Terraform, and CI/CD principles.
  • Strong focus on data integrity.

Benefits

Hybrid working model offering flexibility, with three days per week in the office.

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Data Engineer employer: 0026 Checkout Technology Ltd

At Checkout.com, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation. Our London headquarters is not just a workplace; it's a thriving environment where employees are empowered to take ownership of their roles, supported by a hybrid working model that promotes flexibility and work-life balance. With a strong focus on personal and professional growth, we provide ample opportunities for development, ensuring that every team member can make a meaningful impact in the fast-paced world of fintech.

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Contact Details:

0026 Checkout Technology Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer

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We think you need these skills to ace Data Engineer

Java
Python
Apache Flink
Apache Kafka
Data Engineering
Debugging
State Management

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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How to prepare for a job interview at 0026 Checkout Technology Ltd

Brush Up on Your Statistics

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Get Comfortable with Python and R

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