Lead DevOps Engineer, With Intelligence
Data
2+ days a week in office (One London Wall, London)
Alternative asset management data and intelligence
Be an early applicant
Alternative asset management data and intelligence
501-1000 employees
Be an early applicant
2+ days a week in office (One London Wall, London)
501-1000 employees
Company mission
Connecting investors and managers to the right people and data to raise and allocate assets effectively.
Role
Who you are
- Proven experience owning and operating production data platforms within AWS
- Strong understanding of AWS core services: EventBridge, Lambda, EC2, S3, and MWAA (Managed Workflows for Apache Airflow)
- Experience with infrastructure reliability, observability tooling, and platform automation
- Solid experience with CI/CD pipelines, preferably Bitbucket Pipelines
- Familiarity with Snowflake administration and deployment practices
- Comfortable working through ambiguity and in cross-functional, collaborative teams
- Experience with infrastructure-as-code tools such as Terraform or CloudFormation
Desirable
- Python scripting experience (for automation or lightweight tooling)
- Exposure to MLOps tooling and workflows
- Familiarity with Power Platform (especially Microsoft PowerApps) in a data integration context
- Understanding of data lineage, governance, and operational monitoring in modern data stacks
What the job involves
- We are seeking a Senior DevOps Engineer to take full ownership of our data platform infrastructure
- You’ll play a key role in scaling and supporting our data systems, which leverage a modern AWS stack and Snowflake
- This is a high-impact role with direct influence over reliability, observability, and the DevOps maturity of our data engineering function
- Own and manage the data platform infrastructure built on AWS services (EventBridge, Lambda, EC2, MWAA, S3)
- Oversee deployment and monitoring of Snowflake, and support its integration into the broader data ecosystem
- Ensure platform reliability, availability, and scalability across environments
- Design and maintain robust monitoring, alerting, and observability frameworks to reduce MTTR and improve visibility
- Lead and manage initiatives related to data lineage, platform health, and alert hygiene
- Enhance and expand our CI/CD processes using Bitbucket pipelines
- Drive consistent rollout of DevOps practices across all data engineering squads
- Champion infrastructure as code (IaC) principles using tools like Terraform or CloudFormation
- Work cross-functionally with data engineering squads to identify platform pain points, inefficiencies, and areas for improvement
- Translate ambiguous platform challenges into structured initiatives and deliver value iteratively
- Manage VPCs, security groups, IAM roles, and cross-account networking and permissions within AWS
- Support secure integration with Microsoft PowerApps and other third-party services where applicable
Salary benchmarks
Our take
Founded in 1998, With Intelligence recognised the lack of comprehensive and timely data for informed decision-making across diverse asset classes.
In response, With Intelligence developed an integrated suite of products that blend data from proprietary brands, providing clients with insights, fund information, performance metrics, and analyst perspectives. Leveraging advanced analytics and AI technologies, the company allows asset managers to navigate the complexities of the market confidently.
Recently, the company was acquired by Motive Partners and is now in a position to accelerate its data strategy, expand its offerings across asset classes, and execute ambitious partnership and M&A strategies. Collaborating with industry experts and leveraging Motive Partners' integrated operating model, With Intelligence is positioned to capitalise on the growing demand for data-driven solutions in the global asset management landscape.
Kirsty
Company Specialist at Welcome to the Jungle
Meet the team
11 people
Matt Mardle, Head of Data Science & Engineering
Our mission
Our function exists to enable data excellence. This is achieved through accurate data capture, robust pipelines & quality monitoring.Company
Employee endorsements
Opportunities to learn
"From the moment I arrived, everyone in my team has been supportive of the fact that I had plenty to learn as an industry outsider and have all..."
Company values
- Always deliver
- Make an impact
- Be yourself
- Work together
- Keep getting better
Company HQ
Barbican, London, UK
Articles
Leadership
Charlie Kerr
(Founder & CEO)Founded With Intelligence (originally Pageant Media) in 1998 and has served as the CEO since.
Diversity, Equity & Inclusion at With Intelligence
Claudia Honerjager (Head of Sustainability)
- To us, diversity recognises and values our difference. It’s inclusive, welcome, open, and provides an environment rich with acceptance. We strive to promote inclusiveness, allyship, cognitive diversity and mental and physical wellbeing to every member of the company through our DE&I initiatives and networks.
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