We are seeking a Senior Software Engineer to join our Engineering team. The ideal candidate will have worked with large volumes of data, handled large scale migrations and is able to translate business challenges into engineering solutions.

You will be responsible for building and maintaining the core backend services, databases and tools that power our Data Science and Market Intelligence operations, as well as our client-facing platforms. Our Software Engineers streamline, enhance and scale up the work of our data scientists and analysts, as well as harden our platforms for scalability and performance. We organise our teams using concepts of Dual-track Agile (Scrum) methodologies and we would love to onboard people who are going to contribute across product development, optimisation, DataOps, DevOps and Continuous Integration.

IN THIS ROLE, YOU WILL

As a member of the team, you will be building web services, critical data injection pipelines, and data process automations;
Design and implement new data solutions for use by internal teams and external clients;
Build/extend/transform core datasets inside a SQL data warehouse;
Develop and implement tools and solutions to optimise and streamline our DevOps processes;
Design and implement scalable data architectures to support the growing needs of the organisation;
Ensure data quality and integrity through the implementation of robust validation and testing processes;
You will take ownership of systems within a cloud-first data stack and be expected to quickly contribute to production-level codebases;
Monitor and troubleshoot data pipelines and systems to ensure high availability and performance;
Work closely with stakeholders to gather requirements and translate them into technical specifications and actionable plans;
Mentor and provide guidance to team members, fostering their professional growth and development.

IF YOU HAVE

Demonstrated software development experience within a team-based environment.
Experience building backend APIs and applying RESTful practices.
Experience working with cloud services, with a strong preference for AWS and a broad understanding of AWS solutions architecture.
Experience in Python and preferably in one more strictly type-safe programming language, such as Go, C++ or Java.
Proven experience with relational databases and experience in at least one of: PostgreSQL, MySQL, or MS SQL Server.
Applied knowledge of Linux/Unix OS.
Understanding of the importance of data governance and metadata.
Effective communication skills, comfortable presenting to technical and non-technical audiences.
Strong problem-solving skills and the ability to troubleshoot complex data issues.
Excellent command of written and spoken English.

NICE TO HAVE

Experience with React.js and related libraries;
Strong knowledge of modern JavaScript (ES6+), CSS, and HTML;
Proficiency in React core concepts, including hooks, context API, Redux (or other state management), routing, error handling, and debugging;
Experience working with TypeScript, including static typing, interfaces, and generics;
Experience with design systems and UI libraries, such as Material UI (MUI);
Knowledge of Python’s data science ecosystem (pandas, scikit-learn, etc.).
Experience working with high frequency timeseries data and/or streaming data.
Docker and container technologies in general.
Building and managing other database/datastore technologies (NoSQL variants, file stores, etc.)
Knowledge of Apache Airflow.
Experience with infrastructure-as-code.
Experience with continuous integration and deployment pipelines.
Knowledge of ETL, data acquisition and data injection processes.