AI ApplydAIAPPLYD

Data Engineer

Stellantis

USonsitePosted Jul 2, 2026
Posting intelligenceActively listed

Skills

kubernetesdatabricksterraformgrafanadockergithubpythoncicdawsllm

About the role

Role Overview

We are looking for a DevOps / Data Engineer to build and manage scalable cloud infrastructure, CI/CD pipelines, and data workflows on AWS. This role combines DevOps, automation, and data engineering, with exposure to modern data platforms like Databricks, to enable reliable application delivery and data-driven platforms.

This role requires strong ownership, problem-solving skills, and the ability to work across DevOps, data, and engineering teams.

Key Responsibilities

Build and maintain CI/CD pipelines using GitHub Actions / Bitbucket Pipelines

Develop and manage Infrastructure as Code (IaC) using Terraform and AWS CDK (Terramate is a plus)

Manage and optimize AWS services (EC2, S3, Lambda, RDS, API Gateway)

Deploy and support containerized applications using Docker and Kubernetes/OpenShift

Develop and support data pipelines and ETL workflows using Python and SQL

Work with Databricks or similar data platforms for data processing and analytics

Implement DevSecOps practices, including SAST and secrets management (HashiCorp Vault)

Implement monitoring and observability solutions using tools like Grafana

Monitor systems, troubleshoot issues, and improve performance, reliability, and observability

Requirements:

Basic Requirements

Bachelor's or master's degree in computer science, engineering, or related field

3+ years' experience

Strong experience in AWS Cloud & DevOps

Strong programming skills in Python for automation and data processing

Hands-on with Terraform and AWS CDK

Experience with CI/CD tools (GitHub Actions, Bitbucket, Bamboo)

Experience with Docker, Kubernetes/OpenShift

Knowledge of data pipelines, ETL, and analytics workflows

Experience with monitoring and visualization tools such as Grafana

Familiarity with logging, monitoring, and incident management

Preferred Requirements

Experience with Databricks or similar big data platforms

Experience with event-driven architecture (AWS Lambda)

Knowledge of Power BI or data visualization tools

Exposure to Generative AI / RAG / LLM concepts

Experience in enterprise or automotive data platforms

Familiarity with Terramate or similar IaC orchestration tools

Cloud or DevOps certifications (e.g., AWS Certified Solutions Architect, AWS Certified DevOps Engineer, Kubernetes certifications)

Soft Skills

Strong problem-solving and analytical skills

Good communication and stakeholder collaboration

Experience working in Agile/Scrum environments

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