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.