Data Engineer / Data Architect

altermAInd; Trieste/Trst; Remoto; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A technology company is seeking a Data Engineer / Data Architect to lead data architecture initiatives. The role involves hands-on data engineering, focusing on MongoDB solutions, performance optimization, and scalable infrastructure design. Competitive salary, remote-first culture, and learning budget offered in a fast-growing environment.

Servizi

Performance-based bonus

Annual budget for learning and certifications

Modern equipment plus home office stipend

Competenze

• Advanced knowledge of MongoDB, MQL, and design patterns.
• Strong skills in data modeling for NoSQL and RDBMS.
• Proficient in Python for data processing.

Mansioni

• Lead data modeling initiatives in MongoDB and design ETL pipelines.
• Architect scalable data structures and evaluate architecture alternatives.
• Implement data encryption and security compliance.

Conoscenze

MongoDB expertise

Data modeling & architecture

Database knowledge

Programming in Python

Security implementation

Cloud & DevOps experience

Strumenti

Microsoft Azure data tools

Descrizione del lavoro

Overview

Do you want to be part of a technology company with an AI-first approach, shaping the invisible by blending AI innovation with human experience?

altermAInd is a company that offers solutions enabling organizations to overcome limits, uncover hidden opportunities, and drive transformative growth.

Location: Flexible / Remote

About the Role

We are seeking a Data Engineer / Data Architect to lead data architecture and engineering initiatives. This role combines hands-on data engineering with strategic architecture planning, focusing on MongoDB-based solutions, performance optimization, and scalable data infrastructure design.

What will you do?

• Lead data modeling initiatives in MongoDB, implementing MongoDB design patterns for both transactional and analytical workloads
• Design ETL and CDC pipelines between MongoDB and external systems
• Architect scalable data structures, evaluate data architecture alternatives, and propose migration strategies to different architectures when needed
• Maintain databases through automated scripting, performance optimization, query performance evaluation, and index tuning
• Implement data encryption and security measures to ensure compliance with governance standards

Who are you?

• MongoDB expertise: Advanced knowledge of MongoDB, MQL, aggregation framework, MongoDB design patterns, query optimization, and index management
• Data modeling & architecture: Strong data modeling skills for both NoSQL and RDBMS environments, ability to evaluate different data architectures and propose migration strategies
• Database knowledge: Understanding of main data solutions and databases (relational, NoSQL, time-series, etc.) and their tradeoffs to effectively propose new solutions and migrations
• Programming: Proficient in Python for data processing and SQL for relational database operations
• Security: Experience implementing data encryption and security measures
• Cloud & DevOps: Microsoft Azure data tools experience

What do we offer?

• Competitive salary with performance-based bonus.
• Remote-first culture and flexible working hours.
• Annual budget for learning, certifications, and conferences in AI / ML and DevOps.
• Modern equipment plus a stipend for your home office.
• The chance to shape production GenAI systems from the ground up in a fast-growing company.