Data Engineering Manager, Airalo

• 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams
• You thrive in low-maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before
• 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 - code generation, code review, pipeline debugging, or documentation
• 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

Desirable

• As the Data Engineering Manager, you will lead the foundational backend of our data organization
• YYou will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers
• Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem
• You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon
• This role goes beyond building a data platform
• You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization
• Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers
• Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers
• Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge
• Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs)
• Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs
• Bridge the data platform with MarTech and third-party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions
• Partner with Software Engineering to embed data quality at the source - implementing data contracts, co-owning schema decisions, and driving the rollout of a data catalogue across the organization
• Establish the foundations for real-time data capabilities as the business matures beyond batch processing
• Design systems that prioritize data quality, privacy, and governance standards across all data initiatives
• Transition the team's workflow from reactive problem-solving to structured, agile delivery
• Oversee the maintenance and optimization of high-performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates
• Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges
• Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company-wide goal of 80% self-serve analytics