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LMAX Group

Data Operations Engineer

LMAX Group

Data Operations Engineer helping build and scale data processing infrastructure at LMAX Group. Developing high-performance data pipelines and collaborating with technology and business teams.

Posted 7/10/2026full-timeLondon • 🇬🇧 United KingdomMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowAnsibleAWSCloudETLJavaKafkaKubernetesMySQLPythonRabbitMQSQLTerraform

About the role

Key responsibilities & impact
  • Design, develop, and maintain scalable data infrastructure to support our BI/MI workloads.
  • Manage and optimize data pipelines and ETL/ELT processes.
  • Ensure high availability, performance, and reliability of our data platforms and services.
  • Conduct code reviews, mentoring others, and enforce best practices in data engineering.
  • Diagnose and resolve data quality issues, ensuring accuracy, efficiency, and security.
  • Maintain the confidentiality, integrity and availability of LMAX information assets

Requirements

What you’ll need
  • 3+ years in data engineering or backend software development
  • Strong Python skills for data retrieval and pipeline development
  • Infrastructure-as-Code tooling for deployment and automation (Terraform, Ansible, etc.)
  • Working knowledge of Kubernetes for container orchestration
  • Hands-on experience with several of the following: ETL/ELT orchestration and pipeline tooling (Airflow, Meltano, DBT, etc.)
  • Real-time streaming platforms (Kafka, Redpanda, Active/RabbitMQ, etc.)
  • SQL databases, particularly MySQL
  • Experience with data warehousing tools and platforms (Snowflake, Iceberg, etc.)
  • Familiarity with Java
  • Experience with cloud-based services, particularly AWS
  • Proven ability to manage stakeholders, their expectations and explain complex problems or solutions in a manner suitable for the audience
  • Knowledge of data governance and metadata management
  • Knowledge of data security best practices and compliance requirements

Benefits

Comp & perks
  • 25 days of holiday
  • Bonus
  • Pension contribution
  • Private medical, dental, and vision coverage
  • Life assurance
  • Critical illness cover
  • Wellness contribution program with access to ClassPass
  • Plumm Platform
  • Five volunteering days
  • Give as You Earn initiative
  • Learning and development programs
  • Electric Vehicle Scheme
  • Cycle to Work Scheme
  • Season Ticket Loan

ATS Keywords

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Hard Skills & Tools
Data EngineeringPython ProgrammingETL/ELT ProcessesSQL DatabasesData WarehousingReal-Time StreamingKubernetesCloud ServicesData Quality ManagementData Security Best Practices
Soft Skills
Stakeholder ManagementMentoringProblem SolvingCommunication