Manage, mentor, and grow a team of senior Data Engineers and CDP Engineers, building a culture of engineering excellence and continuous learning.
Drive hiring for the function as it grows, including scoping future specialised roles such as Machine Learning Engineers.
Own the DE delivery roadmap — sequencing, prioritisation, trade-offs — in partnership with senior ICs who lead technical direction. Lead delivery of major cross-functional programs as the named DE owner.
Represent Data Engineering to the rest of the org — Product, Engineering, Marketing, Finance, and executive stakeholders. Translate between business priorities and engineering reality in both directions, and partner closely with Software Engineering and MarTech on the shared boundary between Data and the rest of the platform.
Transition the team's workflow from reactive problem-solving to structured, predictable delivery.
Champion high standards on pipeline reliability, observability, data quality, privacy, and governance — owning the prioritisation and follow-through while senior ICs lead the technical implementation.
Roll up your sleeves where it helps the team move — complex code reviews, unblocking hard problems, or stepping into hands-on work directly.
Act as a strategic partner to the Analytics Engineering Manager and Data Director on the foundations needed for our self-serve analytics ambition and the broader data vision.

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.

Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models.
Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real-time event processing.
Experience in marketplace, B2C, or high-volume transactional businesses.
Previous work in globally distributed data environments (multi-currency, multi-region, multi-language).
Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks).
Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads.

Learn more about our benefits here in this link - https://airalo-public.notion.site/Benefits-25396a97ffca81fb9bc1f0be479f1be3?pvs=74

Remote (Worldwide) — Spain, UK

English is our main working language day to day, so you'll need to be comfortable communicating in it both in meetings and async.
Spain: Full-time, permanent contrato indefinido via Deel (our employer of record in Spain)
UK: Full-time, permanent
By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you.

Airalo is hiring a Data Engineering Manager