Are 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. Build, 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.
You 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.
We 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.
Experience in data engineering
Experience with data modeling, warehousing and building ETL pipelines
SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
Python, KornShell)
Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

Data Engineer I, Data Technology and Products Barcelona, Catalonia, ESP
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📌 Senior Data & Technology Architect (Barcelona)
🏢 Amazon Spain Services, S.L.U.
📍 Barcelona