Senior Software Engineer (Data)

About audax

audax means courage. To have the courage to change the banking scene, eliminating constraints caused by existing legacy infrastructure. Our mission is to empower banks and financial institutions to scale and modernise at speed, reaching new customers without breaking the bank.

We began our journey supplying services to and powering Standard Chartered’s white-label plug and play Banking-as-a-Service (BaaS) solution, Standard Chartered nexus, through our technology capabilities. At audax, we seek go-getters who are hungry for growth and can bring fresh perspectives.

Website - https://audax.io/

Summary  

We're looking for a Senior Software Engineer I, Data Engineer to design, build, and operate resilient, secure data platforms supporting structured, semi-structured, and unstructured data at scale. In this role, you'll own the delivery of data storage, access, and analytics components within your assigned scope - implementing secure data access, real-time analytics pipelines, and disaster-resilient replication and backup strategies. You'll work closely with engineering, security, and platform teams to ensure data solutions are reliable, secure, and maintainable. 

Responsibilities  

• Design, build, and operate structured, semi-structured, and unstructured data stores supporting real-time and batch analytics workloads within your assigned scope. 

• Recommend and apply appropriate distributed data and computation technologies for assigned use cases, balancing performance, scalability, and maintainability. 

• Implement secure, reliable access patterns for connecting to multiple internal and external data sources. 

• Apply encryption and other controls to protect data at rest in line with security standards. 

• Build and maintain real-time analytics pipelines using distributed processing frameworks such as Spark and Presto/Trino. 

• Containerize and deploy data services using Kubernetes and related orchestration tooling. 

• Design and implement data replication strategies to support active/active data center resilience. 

• Design, implement, and test backup and recovery procedures for owned data platforms. 

• Own code quality, testing, and documentation for data engineering components within your scope. 

• Collaborate with engineering, security, and platform teams to ensure data solutions meet reliability and operational standards. 

Requirements  

• 6-9 years of software engineering experience, including at least 2-3 years working with distributed data stores and distributed computation. 

• Hands-on experience with one or more distributed data technologies such as Elasticsearch, Cassandra, Hadoop, or MongoDB. 

• Strong proficiency in Scala and/or Java. 

• Experience with Spark and Presto or Trino for large-scale data processing. 

• Experience with microservice-based architectures. 

• Hands-on experience with Kubernetes and container-based deployment. 

• Working knowledge of NoSQL data stores. 

• Experience operating in Unix/Linux environments. 

• Familiarity with Agile/Scrum delivery practices. 

• Cloud platform experience (AWS or GCP) is a plus; retail banking data experience is a plus.

• Knowledge of integrating AI capabilities into data platforms and engineering workflows

   

Why Join Us?

• Be Part of a Bold Vision - At audax, we’re not just building software - we’re transforming how financial institutions and businesses manage risk, compliance, and growth. Join a team that’s fearless in challenging the status quo.
• Flexible, People-First Workplace - We value the importance of Family, Team, Self. In that order.
• Competitive Rewards and Startup Perks - We offer competitive salaries and meaningful benefits that look after your well-being.

Privacy Notice:

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You may withdraw consent for such collection, use and disclosure, and make an access or correction request in respect of your personal data, in accordance with the Policy by emailing [email protected].

Disclaimer: At Audax, we use AI to support our recruitment process, including reviewing applications and identifying candidates whose skills and experience best match our opportunities. AI assists our recruiters-it does not make hiring decisions. All applications are reviewed by our recruitment team, and hiring decisions are made by people. Please ensure the information you submit is accurate and reflects your own qualifications and experience.