Cloud Data Engineer / AWS DevOps (M/F)

STEP UP is an engineering company expert in managing industrial and IT projects (+ 250 employees across 11 agencies in France), placing human potential as the primary driver of excellence and performance in business. Forget engineering companies that only value your technical skills; at STEP UP, we also aim for the alignment between your personality and our clients' corporate culture. For you, this translates into a fundamental difference in terms of well-being, fulfillment at work, and success in your missions.

What we offer you:

• A fulfilling, stimulating, and collaborative work environment; we are a certified great place to work!
• Innovative and varied projects.
• The possibility of continuous improvement through internal training.
• Career evolution perspectives.
• Individualized support with a human potential development program.
• A referral program.

And of course, we cover 70% of your health insurance and financially encourage soft mobility.

The position:

Cloud Data Engineer / AWS DevOps (M/F)

Location: Gémenos (13) Contract: CDI Remote work: 2 to 3 days per week

• English: Professional proficiency mandatory (international environment)

Experience: 3 to 5 years minimum

Your mission

As part of the development and modernization of Data platforms in an international industrial environment, we are looking for a Cloud Data Engineer / AWS DevOps capable of intervening on Data Engineering, automation, and industrialization of Cloud infrastructures.

You will participate in the design, deployment, and optimization of robust, high-performance, and secure Data solutions, while contributing to the continuous improvement of DevOps practices.

The distribution of activities is as follows:

60 % Data Engineering 40 % Cloud & DevOps AWS Your main responsibilities Data Engineering Design and maintain high-performance data pipelines. Develop and optimize ETL/ELT processes. Model data in Snowflake. Guarantee data quality, consistency, and governance. Industrialize data flows and automate their processing. Utilize AWS services dedicated to data such as Glue, S3, DMS, and Kinesis. Optimize the performance of SQL processing and data warehouses. Cloud & DevOps Design and administer AWS Cloud infrastructures. Automate infrastructure deployment with Terraform. Implement and maintain continuous integration and continuous deployment (CI/CD) pipelines. Develop automation scripts in Python and Bash. Deploy and maintain containerized environments with Docker and Kubernetes. Develop and integrate AWS Lambda functions. Participate in the securing and industrialization of platforms according to DevOps and DevSecOps best practices.

Profile sought:

Your profile Master's degree (Bac+5) in computer science, Data Engineering, or equivalent. You have a minimum of 3 to 5 years of experience in Cloud and Data environments. You have significant experience with Snowflake. You master AWS services and Infrastructure as Code tools, notably Terraform. You have good knowledge of CI/CD tools (GitLab CI, GitHub Actions, or Jenkins). You are comfortable with Python, Bash, Docker, and Kubernetes. You move easily in an international environment and master professional English. Key skills

Your qualities Analytical and synthesis skills. Autonomy and sense of responsibility. Rigor and attention to quality. Ability to collaborate with multidisciplinary teams in an international context. Proactive and a taste for continuous improvement.

Why join us?

You will join a strategic project for the transformation of Data platforms, within a modern technical environment where Cloud, Data Engineering, and DevOps technologies occupy a central place. You will contribute to high-stakes projects, in an international context that promotes innovation and skill development.