The Senior Data Engineer will enhance AI features, improve data pipelines, monitor data quality, and support data acquisition for supplier sourcing.
Senior Data Engineer
The company and our mission:
Zartis is a digital solutions provider working across technology strategy, software
engineering and product development.
We partner with firms across financial services, MedTech, media, logistics
technology, renewable energy, EdTech, e-commerce, and more. Our engineering
hubs in EMEA and LATAM are full of talented professionals delivering business
success and digital improvement across application development, software
architecture, CI/CD, business intelligence, QA automation, and new technology
integrations.
We are looking for a Senior Data Engineer to work on a project in the AI Industry.
The project:
Our teammates are talented people that come from a variety of backgrounds. We’re
committed to building an inclusive culture based on trust and innovation.
You will be part of a distributed team developing new technologies to solve real
business problems and play a key role in developing and monitoring AI features,
improving data pipelines, and ensuring our supplier sourcing tool delivers
high-quality, reliable results.
We are looking for a data engineer, who has a strong interest in data analytics. A
strong background in Python is essential, performing data analytics that will shape
the future of our client’s products.
What you will do:
● Collaborate with the business team to design and enhance and come up with
AI features that provide value for different clients.
● Monitor and evaluate the quality of output from our client’s AI
supplier-matching system, ensuring accuracy and reliability.
● Conduct data analytics to identify areas where AI-driven tools can be
improved.
● Design and run tests/experiments to validate the efficiency of new AI features.
● Work on data acquisition pipelines to source new supplier data, including web
crawling and integrations with 3rd-party tools/APIs.
● Build, maintain, and optimize AI tools and data pipelines in Python.
● Support the scaling of data systems as the platform grows.
● Communicate insights clearly to both technical and non-technical
stakeholders.
What you will bring:
● Solid background in data analytics, statistics, and model evaluation.
● Strong demonstrable proficiency in Python
● Hands-on experience with data acquisition and integration (web crawling,
APIs, or 3rd-party tools).
● Familiarity with AI/ML models and their deployment in real-world systems.
● Strong problem-solving skills and ability to thrive in a startup environment.
● Excellent communication and presentation skills.
Nice to have:
● Experience in procurement, supplier sourcing, or B2B marketplaces.
● Knowledge of cloud platforms (AWS, GCP, or Azure).
● Familiarity with OpenAI, Gemini integrations
● Prior startup experience.
What we offer:
● 100% Remote Work
● WFH allowance: Monthly payment as financial support for remote working.
● Career Growth: We have established a career development program
accessible for all employees with 360º feedback that will help us to guide you
in your career progression.
● Training: For Tech training at Zartis, you have time allocated during the week
at your disposal. You can request from a variety of options, such as online
courses (from Pluralsight and Educative.io, for example), English classes,
books, conferences, and events.
● Mentoring Program: You can become a mentor in Zartis or you can receive
mentorship, or both.
● Zartis Wellbeing Hub (Kara Connect): A platform that provides sessions with
a range of specialists, including mental health professionals, nutritionists,
physiotherapists, fitness coaches, and webinars with such professionals as
well.
● Multicultural working environment: We organize tech events, webinars,
parties, and activities to do online team-building games and contests.
