Data Engineer

Trimble; Remoto; EUR 50.000 - 70.000; Tempo pieno

Descrizione del lavoro

A prominent logistics technology firm is seeking a Data Engineer with a focus on cloud and AI. The successful candidate will design and implement data solutions within one of Europe’s largest logistics networks. Responsibilities include optimizing ETL/ELT pipelines and ensuring data quality and compliance. Candidates should have expertise in AWS tools, Python, SQL, and be familiar with modern infrastructure technologies. This role can be based remotely from several European countries, including Italy.

Servizi

Collaborative team environment

Opportunity for personal growth

Focus on innovative solutions

Competenze

• 2 years of experience with data warehouses in a cloud ecosystem.
• Advanced proficiency in Python and SQL for data engineering.
• Strong skills in Infrastructure as Code (Terraform or CloudFormation).

Mansioni

• Design and implement high-performance, scalable data solutions.
• Architect robust ETL/ELT pipelines for seamless data flow.
• Optimize cloud resources ensuring a lean and powerful infrastructure.
• Collaborate with teams to translate business requirements into solutions.
• Support data governance efforts for quality and compliance.

Conoscenze

Cloud Data Expertise

Technical Scripting

Infrastructure & DevOps

Modern Data Stack

Strumenti

AWS Glue

Python

SQL

Terraform

Docker

Kubernetes

Descrizione del lavoro

Overview

Architect the Future of Logistics: Data Engineer (Cloud & AI Focus) You will build the scalable data foundations that power one of Europe’s largest logistics networks, directly impacting how global freight moves more efficiently and sustainably.

About Us: Trimble is an industrial technology company transforming the way the world works by delivering solutions that enable our customers to thrive. We create technologies that connect the digital and physical worlds, helping our customers increase productivity, quality, safety, and sustainability. From purpose-built products to enterprise-level solutions, our technology empowers professionals in construction, geospatial, government, transportation, and more.

In the Transportation & Logistics segment, our solutions make it safer, simpler and more efficient to move freight—bringing together a global network of shippers, carriers, brokers and 3PLs.

What Makes This Role Unique

You will be at the forefront of migrating and scaling cloud-based data solutions for a market leader, leveraging AI tools like Cursor to solve complex technical challenges and influence the data strategy for a global transportation management system leader.

Responsibilities

• Cooperate on design and implementation of high-performance, scalable data solutions, including data lakes and streaming systems that handle massive global logistics traffic.
• Architect robust ETL/ELT pipelines and event-driven ingestion processes to ensure seamless data flow across PostgreSQL, Redshift, and DynamoDB environments.
• Optimize cloud resources for peak performance and cost-efficiency, ensuring our data infrastructure is lean and powerful.
• Collaborate with cross-functional teams to translate business requirements into comprehensive, cloud-based solutions that drive real-world impact.
• Support data governance efforts, establishing policies that guarantee the highest standards of data quality, security, and compliance.

Essential Skills & Experience

• Cloud Data Expertise: Proven first experience (2 years) with data warehouses and lakes within a cloud ecosystem (Glue, Lambda, Step Functions).
• Technical Scripting: Advanced proficiency in Python and SQL for complex data engineering and automation.
• Infrastructure & DevOps: Strong skills in Infrastructure as Code (Terraform or CloudFormation) and CI/CD workflows.
• Modern Data Stack: Familiarity with containerization (Docker/Kubernetes) and managing diverse database environments.

Bonus Points

• Hands-on experience with data visualization tools like QuickSight.
• Proficiency in AI-assisted development tools and a drive to adopt new technologies.

Location

Location: Ulm, Germany (Preferred) or Remote from Germany, Estonia, Latvia, Lithuania, Poland, Slovakia, Hungary, Romania, Portugal, Spain, Italy, or Croatia.

Why Join Us

At Trimble, we\'re not just a company that "does good"—we are a team dedicated to making a tangible, positive Real-World Impact. We build innovative solutions designed to solve the world\'s most critical challenges. From construction sites to transportation hubs, our work improves how people live, build, move, and grow.

You\'ll work on projects that matter: Our purpose-driven culture means you\'ll be helping to build and deliver solutions that make work faster, safer, and more sustainable for millions of people worldwide.

Collaborate with like-minded people

Our strong internal culture is a "hidden gem." You will work with a collaborative, supportive team that shares your purpose and fosters a genuine sense of belonging. We\'re a company of "visionary pragmatists" who think boldly and build things that work. Be an owner: Trimble thrives on individuals who take initiative and embrace ownership. You\'ll find an entrepreneurial spirit where success is often "self-authored," empowering proactive "doers."

Keywords: Data Engineer, AWS, Python, ETL, Cloud Engineering, SQL, Terraform, Logistics Technology, Transporeon, Remote Data Jobs

How to Apply

Submit an online application for this position by clicking on the ‘Apply Now’ button located in this posting.

Join a Values-Driven Team

Belong, Grow, Innovate. At Trimble, our core values of Belong, Grow, and Innovate are the foundation of our culture. We foster an environment where you are seen, heard, and valued; you have an opportunity to build a career and drive our collective growth; and your innovative ideas shape the future. Become part of a team where your contributions truly matter.

Privacy policy and accommodation statements are typically provided during the application process. If you need assistance or would like to request an accommodation in connection with the application process, contact [e-mail].