Senior Data Engineer

🔥 22 minutes ago

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Zepz

501 - 1000 employees

Founded 2021

💳 Fintech

👥 B2C

💰 $165M Debt Financing - Zepz on 2025-03

Fintech • B2C

Zepz is a fintech company that operates digital remittance brands (notably WorldRemit and Sendwave) offering fast, secure, mobile-first cross-border money transfer services for consumers. The company emphasizes fair, fast and flexible payments, a world-class customer experience, and global reach — enabling app-based transfers to over 130 countries, with reported volumes of about $10 billion transferred and 50 million customer transactions in 2020 across more than 5,000 corridors. Zepz positions itself as customer-focused and growth-oriented, with hundreds of employees and multiple international offices supporting consumer remittances primarily to regions such as Africa and Asia.

📋 Description

• Lead the development and management of our data platform. • Support critical data needs and developing foundational data models essential for advancing cross-border remittances business. • Leverage expertise in data warehousing, transformation, and modeling to build robust and scalable data solutions. • Manage all aspects of the build and deployment lifecycle of data movement and transformation processes. • Oversee user access and resource allocation for compute infrastructure, ensuring efficient scaling and utilization. • Ensure effective use of platform tools and resources for efficient ETL/ELT processing. • Provide technical leadership and mentorship to other data engineers within the team. • Evaluate and integrate new data technologies and tools to enhance the capabilities and efficiency of the data platform.

🎯 Requirements

• At least 7 years of experience in data engineering • In-depth, hands-on experience with technologies for data ingestion, job orchestration, data warehousing, and reporting. • Proven ability to design, implement, and manage robust ETL/ELT pipelines using various tools (e.g., Spark, dbt) • Strong experience with cloud data platforms (e.g., AWS, GCP, Azure), including compute, storage, and database services. • Proficient in SQL and advanced programming in at least one language (e.g., Python, Scala, Java). • Experience with workflow orchestration tools (e.g., Astronomer, Apache Airflow) • Solid understanding and practical experience with data governance principles, data cataloging, and metadata management. • Demonstrated ability to optimize data platform performance and manage compute resources efficiently. • Excellent analytical and problem-solving skills with meticulous attention to detail. • Strong communication and interpersonal skills, capable of articulating complex technical concepts to both technical and non-technical audiences.

🏖️ Benefits

• unlimited annual leave • great healthcare benefits • employee discounts

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