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Data Engineer

LMAX GroupLondon, England, United Kingdom

7 days ago

Job type

Full-time

Job description

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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.

Main Duties & Responsibilities :

Design, develop, and maintain scalable data infrastructure to support our BI / MI workloads.
Manage and optimize data pipelines, ETL / ELT processes, and data warehousing solutions.
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

3+ years of experience in data engineering or backend software development

Proficiency in Python or Java for data retrieval and pipeline development

Experience with IaC tools such as Terraform or Ansible for deployment and infrastructure management

Hands-on experience with;

ETL / ELT orchestration and pipeline tools (Airflow, Airbyte, DBT, etc.)

Data warehousing tools and platforms (Snowflake, Iceberg, etc.)

SQL databases, particularly MySQL

Desired Experience :

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 feed into reports

Demonstrate performant and resilient data infrastructure than can scale with the needs of the Group

Receive positive feedback from technology teams and other business stakeholders

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

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Data Engineer • London, England, United Kingdom