Baxter Planning

Data Engineer

Reposted Yesterday

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Barcelona, Cataluña, ESP

In-Office

Mid level

Software

The Role

Design, build, and operate production-grade data pipelines and curated datasets on AWS. Implement near-real-time ingestion (CDC), BI-ready data models, ETL/ELT in Python (Polars), data quality and observability, and orchestration with Airflow/AWS tools.

Summary Generated by Built In

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
• Work in a friendly and diverse team
• private health insurance
• gym membership
• learning opportunities
• flexible benefits
• team events

Top Skills

Amazon Cloudwatch

Amazon Dynamodb

Amazon Ecs

Amazon Redshift

Amazon Sns

Amazon Sqs

Apache Airflow

Aws Athena

Aws Cloudformation

Aws Dms

Aws Glue

Aws Lake Formation

Aws Lambda

Aws S3

Aws Step Functions

Delta Lake

Polars

Python

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The Company

HQ: Austin, TX

434 Employees

Year Founded: 1993

What We Do

Baxter Planning provides solutions built for the service supply chain. Our software is developed based on proven best practices, industry expertise, and partnerships with our customers to automate inventory planning. We replace spreadsheets and manual processes with a Total Cost Optimization methodology to deliver the best service level at the lowest possible cost. Global clients deploying our software include: Avaya, Ciena, Extreme Networks, NetApp, Bio-Rad, and more.