Asks for

The ad says“Familiarity with infrastructure as code, including Terraform, Ansible, Jenkins, Dagger, ArgoCD or similar”
The ad says“Understanding of AWS services relevant to data platforms, such as RDS, Aurora, S3, EC2 or EKS”
The ad says“Strong experience with relational database platforms, such as PostgreSQL, MSSQL Server, MySQL, CockroachDB or similar”
The ad says“Good understanding of database internals, including query execution, concurrency, replication, indexing and partitioning”
The ad says“Good understanding of database internals, including query execution, concurrency, replication, indexing and partitioning”
The ad says“Good understanding of database internals, including query execution, concurrency, replication, indexing and partitioning”
The ad says“Experience deploying and running services in containerised or Kubernetes environments”
The ad says“Strong proficiency with Linux and Python for automation”
The ad says“Strong experience with relational database platforms, such as PostgreSQL, MSSQL Server, MySQL, CockroachDB or similar”
The ad says“Strong experience with relational database platforms, such as PostgreSQL, MSSQL Server, MySQL, CockroachDB or similar”
The ad says“Good understanding of database internals, including query execution, concurrency, replication, indexing and partitioning”
The ad says“Strong experience with relational database platforms, such as PostgreSQL, MSSQL Server, MySQL, CockroachDB or similar”
The ad says“Strong proficiency with Linux and Python for automation”
The ad says“Good understanding of database internals, including query execution, concurrency, replication, indexing and partitioning”
The ad says“Good understanding of database internals, including query execution, concurrency, replication, indexing and partitioning”
The ad says“Familiarity with infrastructure as code, including Terraform, Ansible, Jenkins, Dagger, ArgoCD or similar”

Values

The ad says“Familiarity with infrastructure as code, including Terraform, Ansible, Jenkins, Dagger, ArgoCD or similar”
The ad says“Experience with security and compliance in database environments, for example covering encryption, auditing and RBAC”
The ad says“Understanding of AWS services relevant to data platforms, such as RDS, Aurora, S3, EC2 or EKS”
The ad says“Knowledge of data streaming and integration tools, including Kafka, Debezium and CDC pipelines”
The ad says“Familiarity with infrastructure as code, including Terraform, Ansible, Jenkins, Dagger, ArgoCD or similar”
The ad says“Knowledge of data streaming and integration tools, including Kafka, Debezium and CDC pipelines”
The ad says“Understanding of AWS services relevant to data platforms, such as RDS, Aurora, S3, EC2 or EKS”
The ad says“Understanding of AWS services relevant to data platforms, such as RDS, Aurora, S3, EC2 or EKS”
The ad says“Familiarity with modern observability stacks, such as Prometheus, Grafana, Elk or OTel”
The ad says“Experience with security and compliance in database environments, for example covering encryption, auditing and RBAC”
The ad says“Familiarity with modern observability stacks, such as Prometheus, Grafana, Elk or OTel”
The ad says“Familiarity with infrastructure as code, including Terraform, Ansible, Jenkins, Dagger, ArgoCD or similar”
The ad says“Knowledge of data streaming and integration tools, including Kafka, Debezium and CDC pipelines”
The ad says“Familiarity with modern observability stacks, such as Prometheus, Grafana, Elk or OTel”
The ad says“Familiarity with modern observability stacks, such as Prometheus, Grafana, Elk or OTel”
The ad says“Experience with security and compliance in database environments, for example covering encryption, auditing and RBAC”
The ad says“Understanding of AWS services relevant to data platforms, such as RDS, Aurora, S3, EC2 or EKS”
The ad says“Understanding of AWS services relevant to data platforms, such as RDS, Aurora, S3, EC2 or EKS”
The ad says“Experience with cloud-native and distributed SQL database, such as Aurora, YugabyteDB or TiDB”
The ad says“Experience with cloud-native and distributed SQL database, such as Aurora, YugabyteDB or TiDB”

We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity.

From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.

As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.

Take the next step in your career.

The role

G-Research is a fast-growing, software-driven organisation where data is at the heart of everything we do.

We are looking for an experienced Database Platform Engineer to join our Data Services team. In this role, you will help design, build and operate the mission-critical database platforms that underpin research, a global platform and business operations

This role focuses on providing highly available, performant and secure data services. Our environment spans multiple database technologies - PostgreSQL, Microsoft SQL Server, MySQL, and CockroachDB - deployed across both on-premises infrastructure and the cloud (AWS).

The role is highly collaborative, working with research and engineering stakeholders to deliver performant, resilient and secure database services at scale. You will gain deep expertise in our database platforms, drive automation and operational excellence, and help evolve the platform to meet the growing needs of the business.

Key responsibilities of the role include:

Building, operating and scaling distributed database services across on-premises and AWS environments
Supporting large-scale deployments of PostgreSQL, Microsoft SQL Server, MySQL and CockroachDB, ensuring high availability, disaster recovery and performance
Contributing to the design and implementation of automation for database provisioning, upgrades, replication and monitoring using Python, Ansible and Terraform
Driving improvements in performance tuning, query optimisation, indexing strategies and storage design
Collaborating with application and research teams to design and deliver database solutions that meet demanding scalability and latency requirements
Participating in the out-of-hours rota to provide support for critical systems
Staying up to date with industry trends and emerging database technologies, helping evaluate their applicability
Defining SLAs, KPIs and monitoring strategies to ensure platform reliability, security and service excellence
Proactively identifying and resolving stability, security and capacity issues across the platform

Who are we looking for?

We are seeking a Database Platform Engineer with strong technical expertise in database systems, automation skills and a passion for solving complex infrastructure problems at scale.

The ideal candidate will have the following skills and experience:

Strong experience with relational database platforms, such as PostgreSQL, MSSQL Server, MySQL, CockroachDB or similar
Good understanding of database internals, including query execution, concurrency, replication, indexing and partitioning
Hands-on experience running databases at scale
Strong proficiency with Linux and Python for automation
Familiarity with infrastructure as code, including Terraform, Ansible, Jenkins, Dagger, ArgoCD or similar
Experience deploying and running services in containerised or Kubernetes environments
Understanding of AWS services relevant to data platforms, such as RDS, Aurora, S3, EC2 or EKS
Familiarity with modern observability stacks, such as Prometheus, Grafana, Elk or OTel

Desirable Skills:

Experience with cloud-native and distributed SQL database, such as Aurora, YugabyteDB or TiDB
Knowledge of data streaming and integration tools, including Kafka, Debezium and CDC pipelines
Experience with security and compliance in database environments, for example covering encryption, auditing and RBAC
Familiarity with DataOps practices and collaboration with Data Engineering teams

Why join us?

Highly competitive compensation plus annual discretionary bonus
Lunch provided (via Just Eat for Business) and dedicated barista bar
35 days’ annual leave
9% company pension contributions
Informal dress code and excellent work/life balance
Comprehensive healthcare and life assurance
Cycle-to-work scheme
Monthly company events

G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.

We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section