TL;DR
Senior Data Platform Engineer: Designing and building core systems for hirify.global's data platform with an accent on real-time data pipelines and enabling machine learning. Focus on low-latency, data-intensive streaming systems, orchestration, data governance, and platform scalability.
Location: South Africa (Hybrid), United Kingdom (Hybrid), Spain (Hybrid), Romania (Remote), Poland (Remote), Portugal (Remote)
Company
hirify.global is a unified payments platform for digital currency, making it easy for anyone, anywhere, to buy, sell, swap, and pay in digital currencies.
What you will do
- Lead the design and delivery of complex data engineering projects.
- Design and develop core components of our data platform, including building and scaling real-time data pipelines for event delivery and enable Machine Learning.
- Embed best practices and governance into the Data Platform, enabling other teams to build confidently and consistently on robust foundations.
- Develop orchestration and automation capabilities to streamline data workflows and improve platform efficiency.
- Write well-tested, high-quality, and performant code for real-time data processing, automation, and infrastructure management.
- Mentor engineers on the team, elevating their skills and promoting best practices in data engineering through guidance and code reviews.
Requirements
- Proven experience building and delivering low-latency, real-time data applications.
- Hands-on expertise with real-time/event-driven systems (e.g., Kafka, Pub/Sub) and in-stream processing frameworks (e.g., Apache Beam, Spark, Flink etc).
- Proficiency with Infrastructure as Code (IaC) (e.g., Terraform) to manage complex, production-grade data infrastructure.
- Experience building platform capabilities that other engineers and teams can leverage and build upon
- A team-first mindset, with a passion for mentoring others and sharing knowledge to raise the bar across the organization.
- The ability to collaborate effectively with cross-functional partners, including Product Managers, Backend Engineers, and Machine Learning Engineers.
Culture & Benefits
- Competitive salary and equity package.
- Unlimited holidays and a hybrid working schedule.
- Private Healthcare benefits and enhanced parental leave.
- Annual training budget and home office setup allowance.
- Remote working allowance and a monthly budget to spend on our products with zero-fee crypto transactions.
- Regular remote company offsites for high-impact in-person sessions and hackathons.
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