At a Glance
- Tasks: Build and scale high-performance data pipelines and real-time streaming systems.
- Company: Join LMAX Group, a leader in Forex and digital currency trading.
- Benefits: Enjoy 25 days holiday, bonuses, private medical cover, and wellness programs.
- Other info: Great opportunities for learning, development, and career growth.
- Why this job: Make a real impact on data-driven decision making in a dynamic environment.
- Qualifications: 3+ years in data engineering, strong Python skills, and experience with ETL processes.
The predicted salary is between 60000 - 80000 £ per year.
Job Overview
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.
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, mentor 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 ETL/ELT orchestration and pipeline tooling (Airflow, Meltano, DBT, etc.)
- Real‑time streaming platforms (Kafka, Redpanda, Active/Rabbit MQ, etc.)
- SQL databases, particularly My SQL
- 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
- Provide a measurable increase of usable 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 Class Pass
- Plumm Platform
- Five volunteering days
- Give as You Earn initiative
- Learning and development programs
- Electric Vehicle Scheme
- Cycle to Work Scheme
- Season Ticket Loan
- #J-18808-Ljbffr
Data Operations Engineer in City of Westminster employer: LMAX Group
LMAX Group is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for Data Operations Engineers to thrive. With a strong focus on employee growth, LMAX offers extensive learning and development programs, alongside competitive benefits such as private medical coverage and a wellness contribution programme. Located in a dynamic environment, employees are empowered to contribute to cutting-edge data solutions that drive the company's success in the Forex and digital currency trading sectors.
