About the Assignment

We are looking for an experienced Senior Cloud Data Engineer for an exciting consulting assignment within the banking and financial services sector.

You will join a Client Reporting team responsible for business-critical data flows, reporting solutions, and data products. The organisation is undergoing a major technology transformation, moving from legacy platforms to a modern, cloud-native data ecosystem built on Google Cloud Platform (GCP).

This is an opportunity to play a key role in modernising data infrastructure, developing scalable solutions, and shaping the future of data engineering within a complex enterprise environment.

Key Responsibilities

As a Senior Cloud Data Engineer, you will:

• Design, develop, and maintain scalable data pipelines, APIs, and data products.

• Contribute to technical architecture, design decisions, and the team's technology roadmap.

• Modernise legacy data solutions and migrate workloads to GCP.

• Build reliable and efficient data integration and transformation processes.

• Develop cloud-native solutions using BigQuery, Python, SQL, and other GCP services.

• Work with event-driven architectures and modern data warehousing solutions.

• Implement and improve CI/CD pipelines, automation, and Infrastructure as Code.

• Ensure high standards of data quality, performance, scalability, and maintainability.

• Collaborate closely with architects, product owners, developers, and business stakeholders.

• Translate business requirements into sustainable technical solutions.

Required Skills & Experience

We are looking for someone with:

• Several years of professional experience in software development and data engineering.

• Strong hands-on experience with Google Cloud Platform (GCP) or comparable cloud environments.

• Advanced knowledge of Python, SQL, and BigQuery.

• Experience building scalable data pipelines and cloud-based data solutions.

• Experience with technologies such as:

  • BigQuery

  • Dataform

  • Apache Airflow

  • Pub/Sub

  • Docker

• Strong understanding of modern data architectures, including Data Warehousing and event-driven systems.

• Experience with ETL/ELT processes and data modelling, including dimensional modelling or Data Vault.

• Experience with DevOps practices, CI/CD, GitLab, and Infrastructure as Code, preferably Terraform.

• Ability to work independently and take ownership of complex technical deliveries.

Personal Qualities

You are a technically strong and solution-oriented Data Engineer who enjoys combining hands-on development with architecture and technical design.

You take initiative, work independently, and thrive in collaborative environments where business requirements and technical challenges meet.

You are comfortable working with complex systems and large datasets, and you have a strong interest in building reliable, scalable, and future-proof data solutions.

Technical Environment

GCP · BigQuery · Python · SQL · Dataform · Apache Airflow · Pub/Sub · Docker · Terraform · GitLab · CI/CD · ETL/ELT · Data Warehousing · Data Vault · APIs