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Data Engineer

LMAX Group is a leading financial technology company specializing in FX and digital currency trading solutions.
Data
Mid-Level Software Engineer
In-Person
3+ years of experience
Finance

Description For Data Engineer

LMAX Group is a financial technology company specializing in Forex and digital currency trading and custody solutions. They are seeking a Data Engineer to join their technology team to build and scale their data processing infrastructure. The role focuses on developing high-performance data pipelines, real-time streaming systems, and robust data architectures that power LMAX's growth and Business Intelligence initiatives. The ideal candidate will have strong experience in data engineering, working with modern data tools and technologies like Python/Java, ETL/ELT processes, and various data platforms. The position offers a comprehensive benefits package and the opportunity to work on complex data challenges in the financial technology sector. This role requires a blend of technical expertise in data engineering and the ability to collaborate with various stakeholders to improve data-driven decision-making processes.

Last updated 3 days ago

Responsibilities For Data Engineer

  • Design, develop, and maintain scalable data infrastructure to support BI/MI workloads
  • Manage and optimize data pipelines, ETL/ELT processes, and data warehousing solutions
  • Ensure high availability, performance, and reliability of 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 For Data Engineer

Python
Java
Kafka
MySQL
  • 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
  • Experience with ETL/ELT orchestration and pipeline tools (Airflow, Airbyte, DBT)
  • Experience with data warehousing tools and platforms (Snowflake, Iceberg)
  • Experience with real-time data streaming platforms (Kafka, Redpanda, Active/RabbitMQ)
  • Experience with SQL databases, particularly MySQL
  • Experience with cloud-based services, particularly AWS
  • Knowledge of data governance and metadata management
  • Knowledge of data security best practices and compliance requirements

Benefits For Data Engineer

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

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