Software Engineer (Data)
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Key skills for this role
About the Role
PRYPCO is building a data platform and seeks a Software Engineer (Data) to design and operate reliable, accessible data systems. The role involves building data pipelines, automating workflows, and partnering with cross-functional teams.
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, Apache Spark, Snowflake, or BigQuery
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.
- You'll own problems end to end, from architecture to automation, and partner closely with the people who use what you build.
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, Apache Spark, Snowflake, BigQuery.
Nice to Have
- Experience building large scale infrastructure applications and writing maintainable code across multiple programming languages.
- Expertise with cloud platforms (AWS and/or GCP).
- Experience with containerisation and Infrastructure as Code, including Docker, Kubernetes, Terraform.
- Understanding of modern data architecture, with hands on experience applying Data Mesh principles.
- Familiarity with notebook based data science workflows.
- Experience with monitoring and observability tools such as New Relic, Grafana, Prometheus, ELK Stack.
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