TL;DR
Analytics Platform Engineer (Azure, Python): Building and scaling analytics platform infrastructure and data ingestion pipelines with an accent on containerization, orchestration, and CI/CD. Focus on designing resilient architectures, monitoring performance, and collaborating with data teams to deliver high-performance solutions.
Location: Remote (UK or Portugal)
Company
hirify.global is a remote-first consultancy specializing in software engineering, product design, and data, partnering with clients to build skills and capabilities.
What you will do
- Build, maintain, and scale analytics platform infrastructure for data science and reporting.
- Design and manage reliable data ingestion pipelines from multiple sources.
- Implement and maintain containerized environments with Docker and Kubernetes.
- Support continuous integration and delivery of platform components using GitHub Actions.
- Collaborate with Analytics Engineers, Data Scientists, and Analysts on scalable, high-performance solutions.
- Monitor platform performance, identify bottlenecks, and implement improvements for reliability and efficiency.
Requirements
- Proven commercial experience in Azure or other cloud platforms.
- Strong proficiency in Python for scripting, automation, and pipeline development.
- Experience with data ingestion and orchestration tools (e.g., Airbyte, Snowflake).
- Experience with containerization (Docker) and orchestration (Kubernetes).
- Familiarity with CI/CD pipelines and infrastructure automation (e.g., GitHub Actions).
- Experience with Infrastructure as Code tools such as Terraform.
- Understanding of distributed systems, cloud infrastructure, and platform scalability.
- English: B2 required.
- Must be based in the UK or Portugal.
Nice to have
- Exposure to dbt or similar data transformation tooling.
Culture & Benefits
- Company Private Health care.
- Enhanced fully paid maternity and paternity leave for up to 6 months.
- £/€2000 annual learning and development budget for training courses and conferences.
- £/€300 annual allowance for additional hardware.
- Mental Health support and Discretionary Bonus.
- Remote-first working environment with flexible working and work-life balance.
Hiring process
- 1st Interview with Talent team (30/45 mins).
- Technical Interview with Senior Developers (1h30).
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