Job Title
Data Ops Engineer

Hybrid (3 Days in office)

Overview
Ocho is partnering with a global financial services organisation to hire a Data Ops Engineer to support critical surveillance data platforms across trading and communications.

This is a high-impact role focused on building and maintaining robust, scalable data pipelines that underpin market abuse surveillance. You’ll work across both structured and unstructured data, ensuring accuracy, completeness and compliance in a highly regulated environment.

The role sits at the intersection of data engineering and operations, working closely with engineering, compliance and surveillance teams to deliver reliable, audit-ready data systems.

Key Responsibilities

• Design, build and optimise end-to-end data pipelines across multiple data sources
• Implement data quality, validation and reconciliation processes
• Ensure completeness, accuracy and timeliness of data across surveillance systems
• Build and manage AWS infrastructure using Terraform or CDK
• Monitor pipelines, investigate data issues and resolve anomalies
• Implement failover and recovery strategies across critical data flows
• Work with stakeholders to translate business and regulatory requirements into technical solutions
• Ensure data governance, lineage and auditability standards are met
• Support integration with surveillance platforms and data lake environments

Person We Are Looking For

• Strong experience building and maintaining ETL/ELT pipelines in financial services environments
• Experience working with trade, order or messaging data
• Strong AWS experience (Lambda, S3, Glue, Step Functions, DynamoDB, EKS)
• Strong programming skills in Python or Java, with excellent SQL
• Experience with data pipeline tools such as Airflow, dbt or Spark
• Experience with CI/CD pipelines and Agile delivery
• Strong understanding of data quality, governance and monitoring
• Ability to work across engineering, data and business teams

Desirable Experience

• Experience with streaming technologies such as Kafka or Kinesis
• Exposure to market data or communications platforms (Bloomberg, ICE, Symphony, Teams)
• Experience with observability tools such as Grafana
• Knowledge of regulatory environments and financial markets
• Experience with Snowflake, Qlik Sense or data cataloguing tools

Role Details

• Permanent role
• High-impact position within a global financial environment
• Opportunity to work on critical surveillance and compliance systems
• Strong collaboration across engineering, data and business teams

Apply here or reach out to Aaron Somers at Ocho for more information via LinkedIn.

Skills:
data engineering data business intelligence

Benefits:
Work From Home bonus pension healthcare