Senior Data Engineer

About This Opportunity

We are representing a confidential sports media and gaming organization seeking a Senior Data Engineer to join their Data Team in London. This is a hybrid role requiring three days per week in their Soho office (Tuesday through Thursday).

In this senior position, you will lead the design and implementation of complex, scalable data systems that power critical business operations. You'll take ownership of architectural decisions, mentor engineers, and drive technical excellence across data platforms optimized for real-time AI/ML workloads. This role offers significant impact and leadership opportunities within a fast-paced, innovative environment.

Responsibilities

• Lead the design and delivery of robust data pipelines using GCP services including BigQuery, Dataflow, Pub/Sub, and Cloud Storage, integrating data from various sources with real-time processing capabilities
• Own the design of data models and databases supporting business analytics, applying dimensional data-modeling principles and selecting appropriate GCP database technologies such as Bigtable, Spanner, or Firestore
• Lead automation of data workflows and optimization of storage and processing costs within GCP using tools like Cloud Composer for orchestration
• Ensure data security by implementing GCP security practices, managing access controls, and complying with data-governance policies
• Lead critical system-design and architectural decisions for scalable batch and real-time workloads
• Partner with cross-functional teams to translate complex business requirements into effective data solutions
• Mentor engineers, review technical designs, and foster a culture of continuous learning and engineering excellence
• Lead resolution of critical pipeline failures and data-quality incidents, performing fault analysis and implementing preventative improvements
• Design and maintain robust, secure integrations with core internal systems and third-party platforms
• Define monitoring and alerting standards to ensure high system reliability and minimal downtime
• Evaluate new GCP features and data-engineering technologies to enhance infrastructure capabilities

What We're Looking For

• Significant experience in data engineering or data warehousing with large-scale, complex datasets
• Advanced SQL and Python skills, with experience using AI-assisted development tools appropriately
• Strong knowledge of data-modeling techniques
• Deep experience with cloud data services and technologies, ideally within the GCP ecosystem (Dataflow, Pub/Sub, BigQuery, Vertex AI)
• Proven experience designing and implementing robust ELT pipelines, including real-time and large-scale batch processing
• Demonstrated ability to deploy and maintain data infrastructure using Infrastructure as Code principles and tools such as Terraform
• Experience with Airflow environment management and Docker
• Experience contributing to an AI roadmap and evaluating AI tooling, including coding agents, for use within the development lifecycle
• Ability to explain complex technical concepts clearly to both technical and non-technical stakeholders
• Demonstrable experience applying data-governance, privacy, and security best practices in a regulated environment
• Proactive and curious approach with ability to anticipate and resolve system inefficiencies
• Ability to lead cross-functional technical work and translate ambiguous requirements into robust data solutions
• Track record of taking end-to-end ownership for quality, reliability, and performance of business-critical data solutions
• Experience mentoring engineers and influencing technical standards across a team

How We Work With You

When you apply through Get A Job.ai, our talent team will review your profile and conduct an initial screening to understand your experience and career goals. If there's a strong match, we'll submit your application to our client for consideration. Throughout the process, we'll keep you informed and provide guidance. Please note that you should apply only through Get A Job.ai and not contact the client directly.

Pay

Compensation details will be discussed during the screening process with our recruiting team.

Equal Opportunity

Get A Job.ai is committed to fostering an inclusive recruitment process. We welcome applications from candidates of all backgrounds and experiences.