Skills

SQL Data Engineering CI/CD Monitoring Problem-solving Decision-making Architecture Data Architecture Google Cloud Platform Analytics GCP

Job Specifications

Senior Data Engineer

Location: London - Weekly / Bi Weekly Travel to Germany

Sector: Events and Live Entertainment

Work Type: Contract - 6 Months Inside IR35

The Client

My client is a leading organisation within the events and live entertainment space, delivering large-scale live experiences to millions of customers each year. With a growing digital and data function, they are investing in a modern, cloud-first data platform to power commercial insight, audience analytics, operational reporting and real-time decision-making across venues and events.

They are now seeking a Senior Data Engineer to play a key role in building and optimising their Google Cloud-based data platform.

The Role

As a Senior Data Engineer, you will design, build and optimise scalable data pipelines on Google Cloud Platform. You will take ownership of core data engineering patterns, evaluate and implement modern open-source frameworks, and help shape the evolution of the organisation’s cloud data architecture.

This role requires a proactive, self-starter mindset with the ability to operate independently while collaborating closely with Data Modelling, Analytics and wider technology teams.

Key Responsibilities

Design, build and maintain scalable ETL and ELT pipelines
Develop and optimise data processing workflows on Google Cloud Platform
Implement robust and scalable data ingestion frameworks
Work with structured and semi-structured data sources across multiple business domains
Collaborate closely with Data Modelling and Analytics teams to enable reliable downstream reporting and insight
Ensure data reliability through monitoring, observability and quality controls
Automate deployment processes and data workflows wherever possible
Contribute to tooling decisions, framework selection and data platform standards

Required Experience

Strong experience designing and building ETL and ELT pipelines in production environments
Hands-on experience with GCP data services such as BigQuery, Cloud Storage, Dataflow or equivalent
Advanced SQL and strong data transformation capability
Experience with orchestration tools and automated pipeline scheduling
Experience working within modern data architectures including warehouse and lakehouse patterns
Demonstrated ownership mindset with strong problem-solving capability

Desirable Experience

Exposure to Data Vault 2.0 modelling concepts
Experience optimising performance and cost within BigQuery
Experience evaluating and implementing open-source data engineering frameworks
Experience implementing CI/CD for data pipelines