Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer/Scientist

Trimble Inc.
Cambridge
2 days ago
Create job alert

Join to apply for the Data Engineer/Scientist role at Trimble Inc.

Your Title: Data Engineer/Scientist
Job Location: Westminster, CO

Are you an enthusiastic and self-motivated Data Engineer / Scientist eager to contribute your expertise to our dynamic and innovative team? Join us in leveraging data to drive meaningful business outcomes and contribute to the success of Trimble's data-driven initiatives.

What You Will Do
Unleash Your Potential as a Trimble Data Engineer and Scientist! Craft data integration frameworks that sync with business needs and uphold security standards. Improve user satisfaction and company growth by gaining insights into how they make use of our products. Explore challenges across data domains, team up cross-functionally, and visualize crucial insights. Embrace multitasking and tech adaptability to thrive. Your path to impactful action starts here.

  • Design, develop, and program methods, processes, and systems to analyze and consolidate diverse 'big data' sources - both structured and unstructured.
  • Generate actionable insights and solutions to enhance client services and products.
  • Collaborate with product and go to market teams to identify data analysis questions and issues.
  • Develop software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple sources.
  • Extract meaningful insights from data and effectively communicate findings to product, service, and business managers.

What Skills & Experience You Should Bring

  • Bachelor's Degree in Computer Science, Data Analytics, Engineering, or a related field. Master’s and Ph.D. graduates welcome.
  • Minimum of 5 years of experience in data science, data engineering or a related field
  • Strong critical thinking abilities and the capacity to work autonomously.
  • Proficient understanding of key data engineering concepts, such as data lakes, columnar formats, ETL tools, and BI tools.
  • Demonstrated passion and aptitude for problem-solving.
  • Proficiency in Python & SQL - other languages a benefit.
  • Effective collaboration skills within a team environment.

About Trimble
Dedicated to the world’s tomorrow, Trimble is a technology company delivering solutions that enable our customers to work in new ways to measure, build, grow and move goods for a better quality of life.

Benefits: Trimble offers comprehensive core benefits that include Medical, Dental, Vision, Life, Disability, Time off plans and retirement plans.

At Trimble, we are committed to fostering a diverse, inclusive, and equitable workplace where everyone can thrive. Guided by our core values—Belong, Innovate, and Grow—we embrace and celebrate differences, knowing they make us stronger and more innovative.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientists

Data Scientists

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Data Scientist - Engineer Data Engineering · London, UK · Hybrid

Machine Learning Engineer / Data Scientist – LLM Agents

Data Engineer - Mid Level

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.