Data Ops Engineer | Data Tooling, Security | FinTech Software Company
Our client is looking for a UX/UI Developer to join a top-tier, well-established FinTech firm specialising in SaaS products that deliver real-time market data and pricing, comparable with industry giants like Bloomberg and Reuters. It has more than 600 employees spread across global locations in the UK, US, China, India, Singapore, Brazil, Belgium, Finland and beyond.
We are looking for an experienced Data Ops Engineer to lead the implementation of best practices in DataOps and optimise our client’s Snowflake platform. You will play a key role in managing data resilience, performance, and security while ensuring efficient user and role management.
You will also support data orchestration using Dagster (or similar tools like Airflow) and enhance integration with Qlik for operational analytics. This role is crucial in modernising their data infrastructure and ensuring high availability, reliability, and integrity of data platforms.
This is a fantastic opportunity to drive real change, collaborate with teams across Data, Engineering, and Cyber, and help shape their next-generation data architecture.
Key skills:
- DataOps best practices
- Snowflake, including performance tuning, governance, and user/role management
- Dagster, Airflow, or Python-based orchestration tools
- Qlik for data visualisation and analytics
- Experience with data backup, restore, and integrity management
- Proficiency in databases such as Cosmos DB, MySQL, and SQL Server
- RBAC and user management using Azure Active Directory (AD)
- Monitoring and observability tools (e.g., Grafana)
- Scripting and automation with Bash, PowerShell, and Linux administration
- Strong problem-solving and collaboration skills
Nice to have skills:
- Cloud deployment experience (Azure preferred, but AWS or GCP acceptable)
- Experience with data pipelines and streaming data technologies
- Kubernetes, Docker, and containerised data platforms
- Familiarity with SQL Managed Instances for data system administration
- Understanding of Azure cybersecurity best practices
- Experience with Terraform, GitHub, and infrastructure as code
- CI/CD experience with Azure DevOps or similar tools
Projects & Responsibilities:
- Optimise and manage Snowflake for performance, resilience, and security
- Develop and implement DataOps best practices to enhance efficiency
- Support data orchestration with Dagster (or similar tools)
- Ensure data integrity and recoverability, implementing strong backup and restore processes
- Monitor and troubleshoot data platforms, using tools like Grafana
- Collaborate across teams (Data, Engineering, Cyber) to drive operational improvements
Benefits:
- Highly flexible hybrid working
- Option to work remotely from anywhere in the world during August
- 25 days holiday, 3 extra days at Christmas, 2 volunteering days
- Pension contribution
- Medical insurance
- Life insurance
- Virtual GP service
- Health cash plan
If you are excited by the prospect of this role, please get in touch quickly as our client is looking to move quickly!
Data Ops Engineer | Data Tooling, Security | FinTech Software Company
