Data Engineer / Data Architect

Altermaind; Bolzano; Remoto; EUR 30.000 - 50.000; Tempo pieno

Descrizione del lavoro

A technology solutions company is seeking a Data Engineer / Data Architect to lead data architecture and engineering initiatives. This role involves hands-on data engineering with a focus on MongoDB solutions, performance optimization, and scalable infrastructure design. The ideal candidate will have advanced MongoDB skills, experience in data modeling for NoSQL and RDBMS, and proficiency in Python. Flexible working hours and an annual learning budget are offered.

Servizi

Competitive salary with performance-based bonus

Remote-first culture and flexible working hours

Annual budget for learning and certifications

Modern equipment plus home office stipend

Opportunity to shape production GenAI systems

Competenze

• Advanced knowledge of MongoDB, MQL, and aggregation framework.
• Strong data modeling skills for NoSQL and RDBMS.
• Understanding various data solutions and databases.

Mansioni

• Lead data modeling initiatives in MongoDB.
• Design ETL and CDC pipelines between MongoDB and external systems.
• Architect scalable data structures and propose migration strategies.

Conoscenze

MongoDB expertise

Data modeling

Database knowledge

Python proficiency

Security implementation

Cloud & DevOps experience

Descrizione del lavoro

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.