Shaping the architecture of data products designed for data analytics and data science.
Leading the way in data transformation by setting up best practices.
Build reusable technology that enables teams to ingest, store, transform, and serve their own data products.
Engaging with data scientists and machine learning engineers to explore the product landscape.
Embrace continuous learning and experimentation to stay updated on emerging technologies.
Raise the bar of the data quality standards, performing continuous assessment of data quality with stakeholders.

Expert in batch, distributed data processing and near real-time streaming data pipelines with technologies like Kafka, Spark etc.
Experience in Databricks is a plus.
Experience in Big Data Analytics platform implementation with cloud based solution; AWS preferred.
Proficient in Python programming and software engineering best practices.
Expertise with RDBMS, Data Warehousing, Data Modelling with relational SQL (Redshift, PostgreSQL) and NoSQL databases.
Proficiency in DevOps, CI/CD pipeline management, and expertise in infrastructure as Code (IaC) deployment industry-best practices.

Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.
Grow with us: Get access to learning resources, mentorship and a growth plan tailored to you.
Thrive and perform: Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.

Data Software Engineer

Key skills