Data Engineer (GCP)

Addepto is a leading AI consulting () and data engineering () company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by .

As part of , a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale.

As a Data Engineer , you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:

• LLM usage analytics and optimization platform for a global consulting company. This project focuses on collecting and analyzing LLM token usage data, including forecasting, anomaly detection, and monitoring AI consumption patterns to improve operational efficiency and optimize costs on GCP.

• Design and development of a universal data platform for global aerospace companies. This Azure and Databricks powered initiative combines diverse enterprise and public data sources. The data platform is at the early stages of the development, covering design of architecture and processes, as well as giving freedom for technology selection. 

• Design of the data transformation and following data ops pipelines for global car manufacturer. This project aims to build a data processing system for both real-time streaming and batch data. We’ll handle data for business uses like process monitoring, analysis, and reporting, while also exploring LLMs for chatbots and data analysis. Key tasks include data cleaning, normalization, and optimizing the data model for performance and accuracy.

Your main responsibilities:

• Design, develop, and maintain scalable data pipelines and analytics solutions in GCP

• Develop solutions for collecting, processing, and analyzing LLM token usage data

• Build forecasting and anomaly detection mechanisms to monitor AI consumption patterns

• Optimize and maintain BigQuery datasets and cloud-based processing environments

• Collaborate with cross-functional teams to translate business needs into scalable AI/data solutions

• Ensure high-quality data processing through testing, monitoring, and automation best practices

• Contribute to data architecture, analytics frameworks, and continuous improvement initiatives

What you'll need to succeed in this role:

• At least 3 years of commercial experience in Data Engineering , AI analytics, or cloud-based AI/ML solutions

• Strong programming skills in Python, including clean code practices and OOP design

• Hands-on experience with GCP services, especially BigQuery

• Experience working with Machine Learning models and large-scale datasets

• Experience in collecting and analyzing LLM token usage data, including forecasting and anomaly detection use cases

• Familiarity with cloud-based analytics and scalable data processing solutions

• Understanding of LLMs and AI/ML systems in production environments

• Excellent communication skills and experience working directly with clients and business stakeholders

• Ability to work independently and take ownership of project deliverables

• Master’s or Ph.D. in Computer Science, Data Science, Mathematics, Physics, or a related field

• Good English communication skills (C1 level)

 Discover our perks & benefits:

• Work in a supportive team of passionate enthusiasts of AI & Big Data.

• Engage with top-tier global enterprises and cutting-edge startups on international projects.

• Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces. 

• Accelerate your professional growth through  career paths ,  knowledge-sharing initiatives,  language classes, and sponsored training or  conferences , including a partnership with  Databricks , which offers industry-leading training materials and certifications.

• Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.

• Participate in team-building events and utilize the integration budget .

• Celebrate work anniversaries, birthdays, and milestones.

• Access medical and sports packages , eye care, and well-being support services, including psychotherapy and coaching.

• Get full work equipment for optimal productivity, including a laptop and other necessary devices.

• With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.

• Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.