AWS Data Engineer (Senior)

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AWS Data Engineer (Senior)

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Tipo de tecnologías

Who are they?

A clean-technology organization focused on accelerating the energy transition through advanced energy storage solutions and proprietary technology.
Operating internationally, they combine software, analytics, and infrastructure to deliver scalable, high-impact projects.
A collaborative, engineering-driven culture that values ownership, technical excellence, agility, and innovation.

What you will do?

Design, build, and maintain scalable ETL/ELT pipelines for batch and real-time processing within AWS environments.
Evolve and optimize a Data Lakehouse architecture, ensuring transactional integrity, high performance, and data consistency.
Manage complex workflow orchestration and dependency logic using modern AWS-native and external tools.
Implement robust data governance, security controls, and audit policies across the cloud ecosystem.
Identify performance bottlenecks and optimize processes for speed, scalability, and cost-efficiency (FinOps mindset).
Collaborate closely with Data Engineers and the Data Analyst to deliver production-ready datasets for reporting and decision-making.
Ensure reliability through proactive monitoring, observability practices, automated alerts, and data quality validation.
Act as a senior peer by mentoring colleagues, conducting code reviews, and elevating technical standards across the team.

What are they looking for?

5–8 years of experience in data engineering or related roles within cloud environments.
Deep hands-on expertise with AWS data services such as Glue, Athena, Step Functions, Lambda, and Kinesis.
Strong experience with Apache Iceberg and modern table formats in Lakehouse architectures.
Expert-level proficiency in Python (PySpark / Python Shell) and advanced SQL (CTEs, window functions, execution plan tuning).
Solid knowledge of data modeling best practices (Dimensional/Kimball) and ETL/ELT ecosystems.
Experience preparing optimized data layers for BI and operational reporting tools.
Practical experience with NoSQL (e.g., DynamoDB) and relational SQL databases.
Familiarity with Infrastructure as Code (Terraform or CloudFormation).
Strong ownership mindset, pragmatic decision-making, and collaborative communication skills.
Nice to have: Airflow (MWAA), dbt, Airbyte, Fivetran, CI/CD automation for Glue/Lambda, and AWS certifications.

Why join them?

Work on large-scale, high-impact energy infrastructure projects.
Competitive salary and superior benefits:
- Medical insurance.
- Life insurance.
- Annual performance bonus.
- Unlimited holidays.
Professional development opportunities within a dynamic, international, and purpose-driven team leading the energy transition.

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