Principal Data Engineer (Python)

TL;DR

Principal Data Engineer (Python): Leading the design and implementation of scalable and resilient data systems for a CXDP platform with an accent on real-time services and intelligent data pipelines. Focus on architecting high-throughput data structures, automating engineering workflows using AI, and modernizing cloud data infrastructure.

Location: South Africa or Poland

Company

hirify.global is an all-in-one customer experience and data platform (CXDP) that empowers marketing teams to exceed customer expectations through highly personalized cross-channel journeys.

What you will do

• Lead the design and implementation of scalable, secure, and resilient data systems for streaming, batch, and real-time use cases.
• Architect data pipelines, models, and storage solutions using Python and SQL via cloud-based orchestration.
• Leverage AI to automate data processing and engineering workflows.
• Establish and drive best practices for data infrastructure, governance, security, and observability.
• Collaborate with product, analytics, and data science teams to maximize data value across the ecosystem.
• Identify and promote new tools and technologies to improve the performance and stability of data services.

Requirements

• Extensive experience delivering Python-based projects within the data engineering space.
• Proficiency with SQL and NoSQL database technologies.
• Proven experience with modern data warehousing and large-scale data processing tools.
• Hands-on experience with data orchestration tools and cloud environments (Azure, AWS, or GCP).
• Experience using Kafka or similar event-based architectures.
• Strong grasp of data architecture and modelling principles for both OLAP and OLTP workloads.
• Previous experience as a Lead or Principal Engineer on large-scale data initiatives or product builds.

Nice to have

• Experience using ClickHouse as part of a data pipeline and analytics solution.
• Experience with Databricks or similar data platforms.
• Experience building AI agents to automate data engineering workflows.

Culture & Benefits

• Medical benefits and paid sick leave.
• Parental leave and wellbeing reward days.
• Share and loyalty rewards.
• Inclusive work environment with a strong commitment to diversity, equity, and inclusion.

Hiring process

• 15-minute screening call with the Talent Team.
• Role deep dive interview with hiring managers.
• Technical interview with the data team.