Data Engineering Manager

🕒 April 13

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Airalo

WebsiteLinkedInAll Job Openings

51 - 200 employees

📡 Telecommunications

Telecommunications • Technology • Travel

Airalo is the world's first eSIM store that provides digital SIM cards (eSIMs) to travelers in over 200 countries and regions globally. The company offers an innovative solution to avoid high roaming charges by allowing users to purchase and activate eSIMs via its app, ensuring instant connectivity without the need for physical SIM cards. Airalo caters to various travelers by providing local, regional, and global eSIMs with transparent, prepaid pricing plans, supported by 24/7 customer service. The platform also supports partnership through APIs and offers incentives such as referral credits. Airalo represents a modern approach to global mobile connectivity, making it an essential tool for frequent travelers.

📋 Description

• Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. • Drive hiring for the Data Engineering function. • Foster a culture of engineering excellence. • Own the technical roadmap for Airalo’s data infrastructure. • Drive data-platform architecture decisions. • Bridge the data platform with MarTech and third-party ecosystems. • Partner with Software Engineering to embed data quality at the source. • Establish the foundations for real-time data capabilities. • Design systems that prioritize data quality, privacy, and governance standards. • Transition the team's workflow from reactive problem-solving to structured, agile delivery. • Oversee the maintenance and optimization of high-performance data pipelines. • Act as a strategic partner to the Analytics Engineering Manager and Data Director.

🎯 Requirements

• 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. • Thrive in low-maturity or greenfield data environments. • Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). • Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). • Hands-on experience using AI tools to accelerate engineering workflows. • Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. • Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. • Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field.

🏖️ Benefits

• remote work • generous PTO • wellness and learning allowances • annual Airalo Away retreat