Data Engineer

Join UL Solutions as a Data Engineer . The Data Engineer plays a pivotal role in advancing the data maturity of the lab organization at UL Solutions. As part of a multidisciplinary team of software developers, data scientists, and architects, the candidate will contribute to the development of robust data solutions tailored to the lab’s needs. The ideal candidate brings a strong background in building ETL/ELT pipelines and data warehousing, with experience integrating data from diverse sources such as legacy databases and unstructured documents using popular open-source tools. In this role, you will work closely with product teams, technology stakeholders, and management to design, validate, and enhance the capabilities of our data platform. Success in this position requires a proactive mindset, innovative problem-solving skills, and a commitment to continuous improvement in data processing and orchestration. We value in-person collaboration and encourage regular presence in the office (Carugate, Italy) to foster close cooperation with the team. Responsibilities Collaborate within a multidisciplinary team of software developers, data scientists, and architects to develop innovative data solutions for the lab. Demonstrate a strong track record in building ETL/ELT pipelines and data warehousing, integrating data from diverse sources including legacy databases and unstructured documents. Own and maintain end-to-end data pipeline frameworks for ingesting and exporting data, enabling the creation of high-value data products. Partner with operations, product, and engineering teams to promote best practices and deliver tailored data solutions across various business needs. Contribute to the design and strategic roadmap for advancing UL’s data maturity and infrastructure. Qualifications Requirements: Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, or a related field 3 years of experience with common data engineering tools (e.g., Airflow, Spark, Snowflake) 3 years of experience building ETL/ELT pipelines 3 years of hands-on experience with Python and SQL Proven experience supporting and collaborating with cross-functional teams Nice-to-Haves: Experience with Azure or AWS, containerization, and related tooling Familiarity with data visualization tools such as Power BI Proficiency in Linux environments Experience with Git/GitHub for version control What you’ll experience working at UL: Mission: For UL, corporate and social responsibility isn’t new. Making the world a safer, more secure and sustainable place has been our business model for the last 125 years and is deeply engrained in everything we do. People: Ask any UL employee what they love most about working here, and you’ll almost always hear, “the people.” Going beyond what is possible is the standard at UL. We’re able to deliver the best because we employ the best. Interesting work: Every day is different for us here as we eagerly anticipate the next innovation that our customers create. We’re inspired to take on the challenge that will transform how people live, work and play. And as a global company, in many roles, you will get international experience working with colleagues around the world. Grow & achieve: We learn, work and grow together with targeted development, reward and recognition programs as well as our very own UL University that offers extensive training programs for employees at all stages, including a technical training track for applicable roles. Total Rewards: Competitive remuneration package with yearly bonus, Mediclaim scheme for family, Group Term Life Insurance, Group Personal Accident Insurance, Training and Development (provided by UL University). J-18808-Ljbffr

Location: Carugate, Lombardia, IT

Posted Date: 10/8/2025