Geoscience Data Engineer - Pipelines & Orchestration

CGG Services (UK) Limited; Llandudno; Hybrid; GBP 45,000 - 65,000; Full time

Benefits offered by this job

Competitive salary

Attractive bonus scheme

22 days annual leave

Company pension

Flexible benefits platform

Cycle purchase scheme

Flexible Private Medical & Dental care

Job summary

CGG Services (UK) Limited is seeking a Data Engineer to develop innovative software solutions that help clients with complex data transformation challenges. This role involves working in a dynamic environment with opportunities for collaboration and development within a growing team.

The successful candidate will be responsible for data integrations, building robust data pipelines, and contributing to the data platform infrastructure, primarily focusing on oil, gas, and mining domains.

Hybrid working is available with up to two days at home.

Qualifications

• Experience developing data integrations with geoscience or scientific data types.
• Ability to write secure and performant code in Python and SQL.
• Experience using orchestrators and ETL tools, especially Airflow.
• Significant RDBMS experience with PostgreSQL and Oracle.
• Experience with data architecture, modelling, and schema design.

Responsibilities

• Plan, develop, deploy and maintain connectors and integrations for data systems.
• Contribute to development of data platform infrastructure.
• Build and maintain robust data pipelines focusing on metadata-driven solutions.
• Communicate design ideas clearly through architectural diagrams.
• Apply software and data engineering best practices.

Skills

Data integration

Python

SQL

Airflow

PostgreSQL

Docker

Data modelling

DevOps

Azure

Tools

ETL tools

NoSQL databases

Kubernetes

Job description

CGG Services (UK) Limited is seeking a Data Engineer to develop innovative software solutions that help clients with complex data transformation challenges. This role involves working in a dynamic environment with opportunities for collaboration and development within a growing team.

The successful candidate will be responsible for data integrations, building robust data pipelines, and contributing to the data platform infrastructure, primarily focusing on oil, gas, and mining domains.

Hybrid working is available with up to two days at home.