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Python Developer AI

Yechte Consulting
Belgique

Soumettre votre candidature

Détails de l'emploi

CDI
Il y a 2 jours

Qualifications

CI/CD
Kubernetes
Big data
Spark
Master
Pandas
AWS
Systèmes distribués
GitHub
Kafka
Intelligence artificielle
Leadership
Jenkins
Compétences en communication
Python
Debugging

Description complète du poste

Job Details

Software Development

Senior

Perm/Contract

Belgium, Brussels

Full Time

On-site

Apply Now

Hiring Process

Time to Answer

2 open days

Process

1 Phone Call

1 Onsite Interview

Days to get an Offer

4 Days after Interview

More Info

Overview

We are hiring a Python Developer / AI Software Engineer to join the Data Engineering team responsible for building and maintaining the Edison big data platform on AWS. You will design and implement libraries, frameworks and services for large-scale data processing, support AI workloads, and create AI code tools (agents/skills/plugins/policies) to accelerate developer productivity. You’ll collaborate across Edison teams, work with both technical and non-technical stakeholders, and help deliver high-quality, production-ready solutions that support thousands of data pipelines across multiple countries.

Job Responsibilities

Design and implement complex features for large-scale data processing frameworks and platform services.
Build AI code tools: develop agents, skills, plugins and policy components that integrate with developer workflows (e.g., Copilot/Claude-code-based tooling).
Develop and maintain the data access library that interfaces with the data lake using Spark, Pandas, Polars and other processing technologies.
Implement features for data movement (cross-account and off-platform), GDPR-compliance plugins, retention/cleanup, and data lineage/metadata exposure.
Contribute to framework architecture and provide design input to ensure scalability, security and maintainability.
Create, maintain and improve CI/CD pipelines and deployment practices for platform components.
Troubleshoot, debug and provide production support for platform products; coordinate cross-team incident resolution.
Collaborate with product, data engineering and data science teams to onboard new products and integrate platform capabilities.
Mentor colleagues, drive engineering best practices, and balance tactical delivery with strategic vision.
Own features end-to-end: from requirements and design through implementation, testing, deployment and operational support.

Must Have Skills

Strong Python proficiency, including idiomatic design, testing and design-pattern knowledge.
Solid experience with large-scale data processing frameworks: Spark and modern libraries (Pandas, Polars).
Cloud experience on AWS (services for compute, storage, security and cross-account data movement).
Practical experience with CI/CD tools and workflows (Jenkins, Bitbucket/GitHub, Concourse).
Experience with orchestration/scheduling systems (Airflow).
Familiarity with AI-assisted coding tools (e.g., GitHub Copilot, Claude Code) and real-world use of such tools to accelerate development.
Strong debugging and technical analysis skills for complex distributed systems.
Proven ability to design maintainable software and contribute to architecture decisions.
Good communication skills; capable of explaining technical decisions to non-technical stakeholders.
Demonstrated ownership, decision-making and collaborative team skills.
Experience level: medior–senior (about 5–7 years) or equivalent demonstrated experience.

Nice to have

Hands-on experience building AI code tools, agents, or policy-driven plugins beyond using copilots (e.g., integrating LLM-based agents into developer workflows).
Experience implementing GDPR compliance features or data governance tooling.
Familiarity with metadata platforms, data lineage tools or observability frameworks.
Experience with multi-tenant platform design and cross-account AWS networking/permissions.
Knowledge of additional orchestration/streaming systems (e.g., Kafka, Kubernetes).
Prior experience working in a financial or highly regulated environment.
Contributions to open-source data libraries or internal developer frameworks.
Mentoring experience or prior leadership in platform or framework teams.

What's great in the job?

Great team of smart people, in a friendly and open culture
No dumb managers, no stupid tools to use, no rigid working hours
No waste of time in enterprise processes, real responsibilities and autonomy
Expand your knowledge of various business industries
Create content that will help our users on a daily basis
Real responsibilities and challenges in a fast evolving company

Work at yechte

We are an independent digital consultancy with ambitious goals and a global presence. We support a diverse range of companies, building digital teams and delivering innovative digital solutions. Our multicultural and diverse workforce, comprised of ‘Global Citizens’, reflects this inclusivity.

We care about work-life balance and meeting the expectation of a growing team, investing in people because they are our greatest asset. Our consistent growth is a testament to this commitment.

Come work at yechte, a company on the rise, offering excellent benefits, opportunities for personal development, and the chance to learn from accomplished leaders. We are always looking for exceptional professionals to join our team.

What We Offer

Each employee has a chance to see the impact of his work. You work on real digital projects and make tangible contributions to the company. We want to provide to each individual personal, professional and social growth.

Flexibility

We care about your wellbeing. At yechte we offer flexi-hours and hybrid home/office work arrangements, enhancing employee work-life balance and productivity.

Attractive Benefits

We care about your comfort. At yechte we offer cost-effective and eco-friendly mobility plans, food allowances, and comprehensive healthcare support, enhancing employee satisfaction.

Personal Development

We care about your growth. At yechte we offer to boost your personal growth through tailored IT trainings and certifications, fostering a culture of agility and tech-driven expertise.

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