Data Engineer: Scalable Pipelines & Orchestration (Remote)

CGG SA; Crawley; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading data technology firm is seeking a Data Engineer to join their team in the United Kingdom. The role focuses on developing and maintaining innovative data integration solutions for clients in various industries, including oil and gas. The ideal candidate will hold expertise in Python and SQL programming, contributing to the creation of efficient data pipelines and ensuring robust data architectures. This position offers a hybrid working model, competitive salary, and numerous employee benefits, including a flexible working schedule and opportunities for continuous learning.

Benefits

Competitive salary

Attractive bonus scheme

Hybrid working model

22 days annual leave with flexibility

Generous company pension

Wellbeing app access

Flexible benefits platform

Regular social club events

Flexible private medical care programmes

Relaxed dress code policy

Qualifications

• Experience in data integrations with geoscience data, especially in oil and gas.
• Capability to write performant Python and SQL code.
• Experience with data architecture and schema design.

Responsibilities

• Develop and maintain data integrations with client systems.
• Contribute to data platform infrastructure development.
• Build and manage robust data pipelines.

Skills

Geoscience data integration

Data transformation design

Python coding

SQL coding

Airflow usage

RDBMS experience

Data architecture knowledge

Docker usage

Version control systems

Tools

PostgreSQL

Oracle

NoSQL databases

Kubernetes

Azure Data Factory

Job description

A leading data technology firm is seeking a Data Engineer to join their team in the United Kingdom. The role focuses on developing and maintaining innovative data integration solutions for clients in various industries, including oil and gas. The ideal candidate will hold expertise in Python and SQL programming, contributing to the creation of efficient data pipelines and ensuring robust data architectures. This position offers a hybrid working model, competitive salary, and numerous employee benefits, including a flexible working schedule and opportunities for continuous learning.