🏡 🖥️ Remote friendly work culture

👨‍💻 Work on latest tech stacks that delivers business impact

💰 Competitive salary and Performance bonus

🏝👨‍⚕️ Paid time off & Medical insurance

• Lead engagement with critical business, analytics, and engineering stakeholders
• Interpret commercial requirements, create specifications, design, and implement data solutions
• Create efficient end-to-end execution processes
• Code to extract data from external vendor APIs
• Transform and load data into data warehouses
• Write and maintain cloud infrastructure using Infrastructure-as-Code
• Write code for the cloud platform
• Writing unit and system tests
• Debugging, both code and infrastructure issues
• Writing and maintaining documentation
• Review and approve designs and code of data engineering team members
• Design, build and manage efficient and reliable data pipelines to move data across several platforms
• Work closely with the CTO to determine data engineering team priorities
• Take end to end ownership of small to medium size projects, estimating timelines, manage project timeline and communicate progress to key stakeholders
• Optimise data management, quality and governance best practices across engineering and data engineering team

• Several years’ experience building data pipelines and applications in a production environment
• A few years’ experience with Cloud providers, preferably AWS and Snowflake
• A few years’ experience in software development such as Python, API integration, relational and non-relational databases
• Strong grasp of a programming language specifically writing applications for production use
• Modern AWS and infrastructure (e.g. serverless, containers, queues), SQL and Spark experience
• Nice to haves or wanting to learn on the job:
• Tertiary qualifications in IT, Computer Science, Software Engineering, or related field
• Interested and self-driven in the latest technologies
• Exposure to working in Terraform
• Exposure to working with CI/CD
• Exposure to containerisation technologies, such as Docker
• Critical thinking and ability to consider pros and cons of different approaches to a problem
• Conscious of system performance, scalability, and availability
• Security conscious software development processes

TalentFirst.ai is your virtual data science team, making data science accessible to all. They provide an end-to-end capability from business case to pilot through to production.

- Data Strategy - They provide executive leadership across a range of data topics.

- Analytics - They deliver cutting edge data science and artificial intelligence solutions for our clients.

- Engineering - Their engineering services include cloud-based infrastructure, backend and frontend engineering, productise analytics solutions.

- People analytics - They are currently developing a SaaS product in the people analytics space.