Data Engineering Manager

Airalo

Data Engineering Manager at Airalo guiding backend data organization. Overseeing data engineering teams and promoting high-quality data infrastructure.

Posted 4/13/2026full-timeRemote • 🇪🇸 SpainSeniorLeadWebsite

Tech Stack

Tools & technologies

AirflowAmazon RedshiftApacheBigQueryCloudGoogle Cloud PlatformPythonScalaSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringcloud platformscloud-native data warehousesorchestration toolsELT pipelinesdistributed data processing frameworksPythonSQLCI/CDInfrastructure as Code

Soft Skills

team managementmentoringengineering excellencestrategic partnershipagile deliveryproblem-solvingcommunication