Lead the end-to-end development of scalable data analytics solutions, including data collection, processing, and visualisation.
Collaborate cross-functionally with data scientists, business analysts, and software engineers to translate business requirements into technical specifications.
Architect and implement robust data pipelines and analytics frameworks that ensure data quality, security, and accessibility.
Drive innovation by exploring advanced analytics methodologies, machine learning algorithms, and emerging technologies relevant to the Data Analytics domain.
Provide mentorship and guidance to junior engineers, fostering knowledge sharing and professional growth within the team.
Conduct code reviews and uphold best practices in software development, ensuring maintainability and performance optimisation.
Engage with key stakeholders to understand evolving business needs and deliver solutions that align with organisational goals.

Minimum 5 years of experience in software engineering with a strong focus on data analytics.
Proficiency in programming languages commonly used for data analytics, such as Python, R, or Java, and familiarity with SQL and NoSQL databases.
Demonstrable expertise in data processing frameworks such as Apache Spark, Hadoop, or similar technologies.
Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerisation tools (e.g., Docker, Kubernetes) is an advantage.
Solid understanding of data warehousing concepts, ETL processes, and data visualisation tools (e.g., Tableau, Power BI).
Strong analytical, problem-solving, and communication skills to interact effectively with diverse teams.
Ability to manage multiple priorities and deliver high-quality outputs in a dynamic environment.
Experience working with full-stack software engineering technology is a bonus.

Opportunities for continuous professional development and career advancement.
Exposure to cutting-edge technologies and projects with global impact.
A collaborative environment that values diversity, creativity, and forward thinking.
Competitive remuneration package and comprehensive benefits.
A supportive work culture that encourages work-life balance and wellbeing.

Software Engineer

Key skills