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Data Operations Engineer

LMAX Group
London

Apply Now

Job details

7 hours ago

Benefits

Cycle to work scheme
Season ticket loan
Company pension
Car scheme

Qualifications

Kubernetes
Ansible
Java
SQL
AWS
Terraform
Back-end development
Software development
Kafka
Metadata
Data warehouse
Python
MySQL

Full job description

Description:

LMAX Group is looking for a highly skilled and passionate Data Operations Engineer/Developer to join our team and help build and scale our data processing infrastructure. In this role, you'll develop high-performance data pipelines, real-time streaming systems, and robust data architectures that power LMAX's growth and Business Intelligence initiatives. You will work with the wider technology and business teams to continuously improve the quality of data that drives our decision making within the Forex and digital currency trading and custody solutions.

This role is ideally suited to a senior-level engineer, but we are more than willing to help a driven mid-level engineer grow into the position.

About You
You are comfortable architecting, building and supporting end-to-end solutions that are practical and performant. Throughout your career, you have developed a broad set of knowledge and skills and are comfortable wearing different hats. You have acquired the know-how around the tools and technologies required to build and solve complex issues in analytical and data pipelines. You can collaborate with engineers and key personnel from other departments (Product Managers, Data Scientists, Platform Engineers, and Operational Business teams) to design scalable, efficient, and reliable data solutions that drive LMAX Group forward.

Requirements:

Main Duties & Responsibilities:

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

Essential Experience:

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
Desired Experience:

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

Success Looks Like:
Safely implement controls to enable self-service of Data for other teams such as Data Scientists and the Business
Be a driving force within the team, leveraging automation and tooling
A measurable increase of useable data sources fed into reports
Demonstrate performant and resilient data infrastructure that can scale with the needs of the Group
Receive positive feedback from technology teams and other business stakeholders

Benefits:

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

Department:

Technology

Location:

London
United Kingdom

Contract:

Apply Now

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