Offer summary

Qualifications:

4+ years of professional Python development experience, preferably in SaaS MarTech or AdTech environments., Proficiency in Django and Django REST Framework, along with data processing libraries., Practical experience with cloud platforms, ideally GCP, and containerized development using Docker., MS or Ph.D. in Computer Science or a related field..

Key responsibilities:

Design and implement scalable data pipelines and backend services for AI-powered marketing platforms.

Develop and maintain high-performance ETL systems for processing large-scale datasets in cloud environments.

Collaborate with cross-functional teams to translate business goals into efficient, testable code.

Conduct peer code reviews and troubleshoot issues to improve backend infrastructure.

Job description

This is a remote position.

At ByTek, we believe in the transformative power of machine learning and data-driven platforms to empower businesses with predictive capabilities. Our company represents the MarTech division of the Datrix Group, an international ecosystem of B2B software companies powered by artificial intelligence and listed on the Italian stock exchange.

We partner with top-tier banks, brands, and retailers in Italy and abroad, helping them harness the full potential of their data through scalable, AI-driven platforms. Our engineering culture is remote-first and collaborative, with hubs in Milan and Viterbo (Italy), New York (USA), and Dubai (UAE).

What you will do

Design and implement scalable data pipelines and backend services for our AI-powered marketing platforms.
Develop and maintain high-performance ETL systems that process large-scale datasets in cloud environments (GCP).
Writing well-designed, testable, and efficient code.
Collaborate with cross-functional teams to translate business goals into efficient, testable code.
Participate in architectural decisions to enhance the performance, scalability, and reliability of our systems.
Conduct peer code reviews and contribute to a culture of clean code and technical excellence.
Troubleshoot issues, monitor system performance, and proactively improve our backend infrastructure.

Selection Process

Our selection process is streamlined, and you'll find compensation ranges already listed on this page. If you apply, here’s what to expect:

We’ll review your CV, and if it’s a match, we’ll invite you to complete an AI-based simulation using our Anthropos platform in a realistic business scenario.
If you pass the simulation, you’ll move on to a technical interview with our Tech Director.
Finally, you'll have a closing interview with HR, where we’ll discuss the offer.

Requirements

Who you are

Experienced engineer: 4+ years in professional Python development, ideally in SaaS MarTech or AdTech environments.
Backend specialist: Proficiency with Django and Django REST Framework, along with data processing libraries.
Cloud-native mindset: Practical experience with cloud platforms (preferably GCP) and containerized development with Docker.
Data engineering fluency: Experience building ETL pipelines and working with distributed systems or parallel processing frameworks.
Architectural thinker: Comfortable contributing to system design and choosing the right tools for performance and scalability.
Collaborative teammate: Strong communication skills, fluent in English, and enthusiastic about working in cross-functional remote teams.
Continuous learner: Proactive, curious, and motivated to stay current with the latest in cloud computing, ML infrastructure, and backend engineering.
Academic background: MS or Ph.D. in Computer Science or a related field.

Benefits

What we offer

Flexible work culture: 100% smart working approach, with opportunities to collaborate in-person across our offices in Milan, Viterbo, New York, and Dubai.
Competitive compensation: B2B contract with 55.000 - 65.000€ base compensation + 10% bonus based on company performances..
Remote-first culture: Work from anywhere with opportunities to collaborate in person across our global hubs.
Competitive setup: Flexible contract options and compensation tailored to your experience and contributions.
Modern stack: Work with Python, Django, Django REST Framework, Docker, and Google Cloud Platform (GCP), including tools like BigQuery, Cloud Functions, and Dataflow.
Impact at scale: Build the core of our proprietary SaaS platforms, enabling ML execution.
Continuous learning: Access to training programs, industry conferences, and a cross-functional environment where engineers, data scientists, and product leaders work side by side.
Innovation DNA: Join a team recognized for its forward-thinking use of external and alternative data sources to drive measurable business results.
Tools & perks: Company laptop, continuous learning budget, and access to internal AI/ML research.