Data Engineer / Data Architect

altermAInd; Pistoia; In loco; EUR 60.000 - 80.000; Tempo pieno

Descrizione del lavoro

A technology company is seeking a Data Engineer / Data Architect to lead data initiatives focused on MongoDB solutions. The ideal candidate will have advanced MongoDB knowledge, strong data modeling skills, and proficiency in Python and SQL. This position offers a competitive salary, remote-first culture, and opportunities for professional learning and growth.

Servizi

Competitive salary with performance-based bonus

Remote-first culture

Annual budget for learning and certifications

Modern equipment stipend

Competenze

• Advanced knowledge of MongoDB, including MQL and aggregation framework.
• Strong data modeling skills for NoSQL and RDBMS.
• Proficient in data processing using Python and relational operations using SQL.
• Experience with data encryption and security measures.

Mansioni

• Lead data modeling initiatives using MongoDB.
• Design ETL and CDC pipelines between MongoDB and external systems.
• Architect scalable data structures and evaluate architectural alternatives.
• Optimize database performance and maintain compliance with governance standards.

Conoscenze

MongoDB expertise

Data modeling skills

Programming in Python

SQL proficiency

Cloud & DevOps

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.