Data Engineer: Scalable Pipelines for Production Data

Ocean Infinity; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Ocean Infinity is seeking a Data Engineer to build scalable data pipelines and automation that convert complex workflows into robust, production-grade data systems. You’ll work across data, product, and engineering teams to deliver curated datasets powering analytics and AI initiatives.

The role focuses on transforming data using Bronze/Silver/Gold patterns, implementing robust Python data processing, and contributing to back-end data services and APIs for analytics and reporting.

Qualifications

• A degree in Computer Science, Mathematics, Engineering, or related field, or equivalent practical experience.
• Minimum 2 years of experience as a Data Engineer or related role with data pipelines.

Responsibilities

• Develop scalable data pipelines and automation to transform manual workflows into robust data systems.
• Build end-to-end data transformations and reusable components (Bronze/Silver/Gold).
• Develop Python-based data processing solutions and APIs for data delivery.
• Implement data integration from databases, APIs, and streaming data using batch and near real-time approaches.
• Maintain data quality checks, validation, and testing for data products.
• Collaborate with analysts, product teams, and AI engineers to translate requirements into production-ready implementations.
• Improve pipelines for reliability, performance, and automation and follow CI/CD practices.

Skills

Python

SQL

Cloud platforms

Data pipelines

CI/CD

Docker

API development

Data modeling

Education

Bachelor's degree in CS/Math/Engineering

Tools

PostgreSQL

MongoDB

S3 / object storage

Git

Job description

Ocean Infinity is seeking a Data Engineer to build scalable data pipelines and automation that convert complex workflows into robust, production-grade data systems. You’ll work across data, product, and engineering teams to deliver curated datasets powering analytics and AI initiatives.

The role focuses on transforming data using Bronze/Silver/Gold patterns, implementing robust Python data processing, and contributing to back-end data services and APIs for analytics and reporting.