ph3Overview /h3 pReady to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and our annual Airalo Away retreat. Learn more about our benefits here; but note that external links have been redacted in this description. /p pHi, I’m Andra, Director of Data at Airalo. Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. /p pAiralo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards — it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. /p h3What You Will Do /h3 ul liManage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. /li liDrive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers. /li liFoster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. /li liOwn the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). /li liDrive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. /li liBridge 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. /li liPartner 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. /li liEstablish the foundations for real-time data capabilities as the business matures beyond batch processing. /li liDesign systems that prioritize data quality, privacy, and governance standards across all data initiatives. /li liTransition the team's workflow from reactive problem-solving to structured, agile delivery. /li liOversee the maintenance and optimization of high-performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. /li liRoll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. /li liAct 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. /li /ul h3Must-haves /h3 ul li7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. /li liYou 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. /li liDeep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). /li liStrong experience with orchestration tools (Airflow, Dagster),



ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). /li liHands-on experience using AI tools to accelerate engineering workflows — code generation, code review, pipeline debugging, or documentation. /li liStrong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. /li liExperience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. /li liBachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. /li /ul h3Nice-to-have /h3 ul liExperience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. /li liExperience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real-time event processing. /li liExperience in marketplace, B2C, or high-volume transactional businesses. /li liPrevious work in globally distributed data environments (multi-currency, multi-region, multi-language). /li liExperience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). /li liExposure to Machine Learning infrastructure — not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. /li /ul h3Application and eligibility /h3 pIf you are interested in this position, please apply via the link. Note: to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. /p pAiralo is an equal-opportunity employer and values diversity, equity inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. /p /p #J-18808-Ljbffr

📌 Data Engineering Manager (España)
🏢 Airalo
📍 España