GCP Data Engineer

REMOTE: with Occasional Office Visits to Surrey office

12 Month Contract

The organisation is a globally recognised leader in technology and innovation, delivering advanced digital products and solutions used by millions of people worldwide. With a strong focus on cutting-edge technologies and continuous improvement, the company drives digital transformation across multiple markets.

The global software solutions and IT services division plays a key role in delivering enterprise-scale digital capabilities. This position sits within a newly established CDM Operations Team, supporting marketing activities across more than 20 European countries.

The organisation is seeking a skilled Google Cloud Data Engineer to design, implement, and optimise data solutions within the Google Cloud Platform (GCP) ecosystem. The successful candidate will collaborate with cross-functional teams to ensure effective data integration, governance, and analytics capabilities.

• Design scalable, efficient data solutions using Big Query and other GCP tools to support business intelligence and analytics requirements.
• Work closely with stakeholders to gather data requirements and translate them into technical designs.
• Build, maintain, and optimise ETL/ELT pipelines using tools such as Dataflow, Apache Beam, and Cloud Composer.
• Integrate multiple data sources, including APIs, relational databases, and streaming platforms, into Big Query.

• Optimise Big Query queries and storage structures to ensure high performance and cost efficiency.
• Implement partitioning and clustering strategies to enhance query performance.
• Configure and manage GCP services such as Cloud Storage, Pub/Sub, and IAM to ensure secure and reliable data operations.
• Apply best practices in cloud security and compliance.

• Implement data quality and governance frameworks to ensure accuracy, consistency, and availability of data.
• Establish monitoring and alerting mechanisms for pipelines and systems to proactively prevent and resolve issues.
• Partner with data analysts, engineers, and business stakeholders to enable efficient data processing.
• Provide technical guidance and support to team members.

• European Regional Office

• Maintain strong working relationships with all key stakeholders.
• Support and align activities with both marketing and operations teams.

• Language Skills
• Exceptional English communication skills, as the role involves collaboration with global teams.
• Technical Expertise
• Strong proficiency in Big Query and SQL, including data modelling and query optimisation.
• Hands-on experience with GCP services such as Cloud Storage, Cloud Composer, Dataflow, and Pub/Sub.
• Familiarity with data pipeline frameworks such as Apache Beam and Airflow.
• Strong programming skills in Python or Java for data processing and scripting.
• Knowledge of shell scripting and cloud automation.
• Proven experience designing and managing cloud-based data solutions.
• Strong background in developing and maintaining ETL/ELT pipelines.
• Demonstrated ability to optimise Big Query performance and manage cloud costs effectively.
• Experience implementing partitioning, clustering, and materialised views.
• Soft Skills
• Excellent analytical and problem-solving abilities.
• Strong communication skills, with the ability to explain technical concepts to non-technical stakeholders.
• Ability to work collaboratively in a fast-paced, evolving environment.
• Certifications
• Experience with Amazon Redshift for managing and optimising data warehouse solutions across multi-cloud environments.
• Experience with Microsoft Azure tools, particularly Azure Data Factory (ADF).

The organisation operates within a fast-paced and evolving environment where processes and procedures frequently change. The successful candidate must stay up to date with technological developments and assess their potential business impact.

This job description outlines the primary responsibilities of the role but does not represent an exhaustive list of duties. It is intended to clarify expectations between the Manager and the employee and may be amended in line with evolving business requirements.