About the Role
Are you passionate about solving real-world problems through high-quality software solutions? Redslim is looking for a Software Engineer to design, engineer, and maintain cutting-edge applications that enable scalable and transparent data usage.
In this role, you will be creating software modules, developing productivity tools, and helping deploy data applications that empower both technical and non-technical users. You’ll collaborate with multidisciplinary teams and leverage AI-powered tools to drive productivity in a modern development environment that promotes experimentation and innovation.
At Redslim, you’ll be part of a forward-thinking technology team that values creativity, transparency, and teamwork. You’ll have opportunities to experiment with emerging technologies, contribute to meaningful projects, and be part of an organization committed to your growth and wellbeing.
Please note that all applications must be submitted via the LinkedIn Applicant Tracking System (ATS). Unfortunately, we are not able to respond to applications sent directly to our individual mailbox.
Key Responsibilities
* Design, engineer, and maintain Python and PySpark libraries and applications for deployment in Databricks.
* Create and update modules that transform and enrich data.
* Develop solutions to deploy, create, edit, inspect, and monitor data applications.
* Build productivity tools to enhance the scalability and accessibility of data applications.
* Contribute to software architecture design and code reviews, ensuring clean code practices.
* Integrate CI/CD workflows to enhance development processes and system reliability.
* Participate in cloud infrastructure design and deployment following best practices.
* Use AI-powered tools to streamline development tasks and improve efficiency.
* Apply debugging and performance optimization techniques to ensure system quality and speed.
* Follow and promote security best practices across all development activities.
What we’re Looking For
Experience:
* Strong proficiency (4+ years) in Python and PySpark, with hands-on experience building and maintaining data-oriented applications.
* Experience with Databricks environments and modern software architecture workflows.
* Familiarity with CI/CD concepts and practical experience with workflow automation tools.
* Exposure to cloud infrastructure design and deployment (Azure or similar).
* Understanding of debugging, performance optimization, and secure coding practices.
* Experience in using AI-powered development tools is an advantage.
Skills:
* Excellent communication and collaboration skills.
* Strong analytical and problem-solving mindset.
* Solid technical writing and documentation abilities.
* Ability to work effectively in a dynamic and innovative environment.
* Commitment to continuous learning and professional development.
We can accept only CVs submitted in English.
If you think this position is for you, please click the Easy Apply button!
We’re currently considering candidates who are authorized to work in Spain, France, Netherlands or the UK.
About Redslim
Redslim streamlines data management for teams faced with the request to leverage fragmented datasets for critical decision making. Specialized in data engineering, harmonization and BI, their teams manage data from over 50 agencies and covering more than 55 countries. Their technology-enabled services optimize data consumption for more than 30 global organizations. Active for more than 10 years, Redslim is constantly innovating their solutions to always meet the evolving needs of their clients and data partners. Learn more at www.redslim.net and follow Redslim on LinkedIn.
Redslim is an employer committed to diversity and inclusion in the workplace and equal opportunities for all. No personal characteristics should be a barrier to joining Redslim. We prohibit discrimination and harassment based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or other personal characteristics. We ensure job advertisements are free from unintentional bias.