DescriptionAre you passionate about data? Does the prospect of building the data foundation that every AI tool in Amazon Operations stands on excite you? Do you want to participate on data services that both people and agents can trust?

DescriptionAre you passionate about data? Does the prospect of building the data foundation that every AI tool in Amazon Operations stands on excite you? Do you want to participate on data services that both people and agents can trust?

We are looking for a Data Engineer to contribute to the data foundations that power reporting, automation and AI across International Operations. You will work with the team that owns data services end to end: gathering the requirements, desiigning, building, productionalizing and owning the service and cost. You will work in a lakehouse on AWS, with Redshift, S3, lambdas and you will own services that analysts, scientists and AI agents consume without asking you first.

You treat data as a product with owners, contracts and an SLA, not as a scripted pipeline that solved an isolated business problem. You will report to a Data Engineering Manager and work inside a delivery organization of engineers and analysts spread across Europe. Key job responsibilitiesBuild, evolve and support data products meant to be reused, not delivered once.

Those include SLA contracts, service and cost telemetry, cost expectations and quality controls. A day in the lifeYou start by checking the health of the data services you own: SLA, quality checks, and cost. Anything red gets triaged first.





You are typically carrying one or two main projects at a time with a senior Data Engineer to support you. You write mainly Python and SQL, you review a teammate's pull request, and you use AI assistance to move faster on the mechanical parts while you manually deliver what should be specially curated. You will also have senior engineers to design with, so you are never guessing alone on an architecture decision.

About The

TeamWe are the data and analytics organisation inside GSARC, which brings together Product Compliance, Analytics and AI for Amazon's International Operations and General Operations Services. Our customers span first mile, middle mile and last mile, plus the end to end planning and compliance teams behind them. English is our working language.

Basic

QualificationsExperience in data engineeringExperience with data modeling, warehousing and building ETL pipelinesExperience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)Experience with one or more scripting language (e.g., Python, KornShell)Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissionsPreferred QualificationsExperience with big data technologies such as: Hadoop, Hive, Spark, EMRAmazon is an equal opportunities employer. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of your candidates.

Company - Amazon Spain Services, S.L.

📌 Senior Data & Technology Architect (Barcelona)
🏢 Amazon
📍 Barcelona