Software Engineer (Data)
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Key skills for this role
About the Role
Software Engineer (Data) About the Role We're building the data platform that powers decision-making across PRYPCO. As a Software Engineer (Data), you'll design and operate the.
Key Skills for This Role
Responsibilities
- Design, build, and maintain efficient, reliable data platforms, streamlining end to end data pipelines and automating manual workflows
- Partner with cross functional teams (Product, Engineering, and Data Science) to translate ambiguous requirements into practical, scalable solutions
- Establish and enforce data standards, maintain comprehensive documentation, and manage the company wide data registry
- Onboard and support platform users while communicating updates and insights through dashboards, bots, and other internal tools
- Plan and execute organisation wide platform improvements, defining best practices for coding, testing, deployment, and maintenance
- Use data to guide engineering decisions and continuously improve platform performance and reliability
Requirements
- Bachelor's or Master's degree in Computer Science or related field, or equivalent practical experience
- Strong proficiency in Python, SQL, and Unix shell scripting
- Hands on experience with Agile engineering practices including TDD, refactoring, CI/CD, and XP
- Proven experience designing, implementing, and maintaining custom ETL pipelines
- Experience with workflow orchestration tools such as Apache Airflow
- Expertise in distributed data processing and query engines including Trino
Full Job Posting
About the Role
- We're building the data platform that powers decision making across PRYPCO. As a Software Engineer (Data), you'll design and operate the systems that make data reliable, accessible, and easy to work with for every team that depends on it. You'll own problems end to end, from architecture to automati
Key Responsibilities
- Design, build, and maintain efficient, reliable data platforms, streamlining end to end data pipelines and automating manual workflows.
- Partner with cross functional teams (Product, Engineering, and Data Science) to translate ambiguous requirements into practical, scalable solutions.
- Establish and enforce data standards, maintain comprehensive documentation, and manage the company wide data registry.
- Onboard and support platform users while communicating updates and insights through dashboards, bots, and other internal tools.
- Plan and execute organisation wide platform improvements, defining best practices for coding, testing, deployment, and maintenance.
- Use data to guide engineering decisions and continuously improve platform performance and reliability.
Requirements
- Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.
- Strong proficiency in Python, SQL, and Unix shell scripting.
- Hands on experience with Agile engineering practices, including TDD, refactoring, CI/CD, and XP.
- Proven experience designing, implementing, and maintaining custom ETL pipelines.
- Experience with workflow orchestration tools such as Apache Airflow.
- Expertise in distributed data processing and query engines, including tools such as Trino.
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