AI
  • Azure AI Foundry
  • Google Vertex AI
  • Model Context Protocol
  • Agent2Agent Protocol (A2A)
  • Neo4J
  • Amazon Bedrock

Data Engineer (Experienced)

As a Data Engineer, you will work on complex Data & AI projects, taking on a key operational and technical role within the project team and actively contributing to the design, development, and management of end-to-end data solutions.

You will support the Delivery Manager, who is responsible for overall project management (planning, progress tracking, team management, priorities, and governance), by directly managing client communication and ensuring proper task organization within the project team.

You will work closely with the Solution Architect, the key reference figure for defining and guiding the architectural design of proposed solutions. You will participate in technological and architectural decision-making, support clients in technical choices, and mentor junior team members by sharing best practices and fostering their professional growth.

What you will do

  • Collaborate in defining end-to-end data architectures (Lakehouse, Data Mesh), ensuring scalability, security, and maintainability
  • Design and optimize data models and data structures on modern analytics platforms (e.g. Databricks, Snowflake, Redshift, BigQuery), ensuring data quality and performance
  • Contribute to the architectural proposal of client solutions, evaluating new technologies and patterns in the Data & AI domain and applying them in project contexts
  • Support project planning by providing effort estimates, technical feasibility assessments, and proactively identifying risks and critical issues
  • Act as a key technical point of contact for clients, clearly explaining implemented solutions, architectural trade-offs, and technological implications
  • Participate in Data Governance, Data Quality, and Security initiatives, applying best practices and contributing to continuous process improvement
  • Support the growth of junior team members through hands-on mentoring, code reviews, and knowledge sharing
  • Work autonomously while actively collaborating with the team and seeking alignment when needed
  • Design, develop, and manage batch and real-time data solutions on modern Data Platforms (e.g. Spark, Kafka, managed Cloud services), contributing to architectural and implementation choices

Benefits & Contract

  • Permanent employment contract
  • Indicative gross annual salary range: €40,000 – €65,000
  • Flexible remote working (office location: Monza) when on-site presence is not required
  • Annual performance bonus (8% of gross annual salary)
  • Company-funded certifications and training paths, with opportunities to attend international tech events
  • Individual training budget of €1,500 per year
  • Corporate welfare program: additional budget for personal interests and leisure activities
  • Supplementary health insurance
  • €7 meal vouchers for both office-based and remote working days
  • Partnership with Serenis, including funded psychotherapy and/or coaching sessions

Who we are looking for

  • At least 3 years of experience as a Data Engineer or in similar roles, working on structured data projects
  • Experience in designing, developing, and maintaining data solutions and architectures in complex environments
  • Experience building and managing data ingestion and transformation pipelines, both batch and real-time
  • Experience designing and working with Data Warehouses and Data Lakes on modern analytics platforms
  • Strong teamwork skills and ability to engage in technical and operational discussions
  • Ability to clearly communicate complex technical concepts to stakeholders with different backgrounds, actively supporting them in decision-making
  • Advanced proficiency in Italian
  • Good command of English

Technologies & Methodologies

  • At least one major Cloud Provider (AWS, Azure, GCP)
  • SQL and ETL/ELT principles
  • Databases (relational and non-relational)
  • Stream processing (Kafka, Kafka Streams, Spark Streaming)
  • Containerization and orchestration tools (Docker, Kubernetes)
  • Git and coding best practices
  • Data Mesh
Apply now
Data Engineer (Experienced) @ Quantyca
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