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Data Operations Engineer
LMAX GroupData Operations Engineer helping build and scale data processing infrastructure at LMAX Group. Developing high-performance data pipelines and collaborating with technology and business teams.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and maintaining scalable data infrastructure, optimizing ETL/ELT processes, and ensuring data quality and security. Proficient in Python, cloud services, and data governance practices to support business intelligence workloads.
Highest-signal resume keywords
Data EngineeringPython ProgrammingETL/ELT ProcessesInfrastructure-as-CodeData Governance
ATS Keywords
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Hard Skills
Data EngineeringPython ProgrammingETL/ELT ProcessesSQL DatabasesData WarehousingReal-Time StreamingKubernetesCloud ServicesData Quality ManagementData Security Best Practices
Soft Skills
Stakeholder ManagementMentoringProblem SolvingCommunication
Tools & Technologies
TerraformAnsibleAirflowMeltanoDBTKafkaRedpandaActiveMQRabbitMQAWS
Industry Keywords
Data InfrastructureBI/MI WorkloadsData GovernanceMetadata ManagementData Security Compliance
Tech Stack
Tools & technologiesAirflowAnsibleAWSCloudETLJavaKafkaKubernetesMySQLPythonRabbitMQSQLTerraform
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