Data Ops Engineer | Data Tooling, Security | FinTech Software Company
Hybrid in Sofia
£85-90,000
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
