Data Engineer
# Data Engineer **Baxter Planning** · Spain · `Remote` · `Full Time` 💼 **Уровень роли:** `Senior` 💰 **Компенсация:** `€55,000 – €65,000` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineer]` `[Data-Platform-Engineer]` `[ETL-Developer]` `[AWS-Data-Engineer]` `[BI-Data-Engineer]` `[Data-Engineer-Jobs]` `[Data-Engineering]` `[Data-Engineering-Software-Engineer]` `[Data-Engineering-Specialist]` `[Data-Engineering-Jobs]` --- ### About the Role As a Data Engineer at Baxter Planning you will play a key role in building and evolving our data lake platform, supporting analytics and data-driven products across the business. You will design and operate reliable, production-grade data pipelines and curated datasets using modern AWS services and Python. This role focuses on data modeling, data quality, and near-real-time ingestion to ensure trustworthy, BI-ready data. You will work closely with engineers and stakeholders while contributing to architecture, automation, and best practices. What you’ll do - Build the data-serving layer: curated datasets, marts, and product-ready tables - Develop incremental / micro-batch pipelines and support CDC near-real-time ingestion (AWS DMS) - Design BI-friendly data models (star schema) and manage schemas - Build ETL/ELT in Python (Polars) and serve/query via Athena and/or Redshift - Implement data quality + observability (freshness, completeness, duplicates, schema drift, anomalies) - Orchestrate with Airflow and AWS-native tools (e.g., Step Functions) - Contribute to CI/CD, IaC, architecture discussions, and best practices What we’re looking for • 4+ years building and operating production data pipelines • Strong Python (async/concurrency is a plus) • Strong AWS across services like: S3, Glue, Athena, Redshift, Lake Formation, CloudWatch, DMS, Lambda, Step Functions, SQS/SNS, ECS, DynamoDB (+ CloudFormation) • Experience with lakehouse tables (Delta or similar), schema evolution, partitioning, compaction, upserts/merge • Solid data modeling skills (star schema) and commitment to testing & data quality • Experience running AWS DMS in production (monitoring/troubleshooting) What we offer - A competitive salary (€ 55000 - € 65000) - Work in a friendly and diverse team - private health insurance - gym membership - learning opportunities - flexible benefits - team events - free office snacks and drinks Originally posted on Himalayas
- Data-Engineer
- Data-Platform-Engineer
- ETL-Developer
- AWS-Data-Engineer
- BI-Data-Engineer
- Data-Engineer-Jobs
- Data-Engineering
- Data-Engineering-Software-Engineer
- Data-Engineering-Specialist
- Data-Engineering-Jobs
Наблюдалась 2026-10-17, впервые 2026-10-17, источник — Himalayas (JSON API).