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# Data Engineer I (Scientific Products)

- **Company:** Waters Corporation
- **Location:** Madrid, Spain
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Bioinformatics, Computational Biology, Information Systems, Databases, Data Cleansing, Information Engineering, Data Integration, Data Integrity, Data Mining, Data Systems, Data Visualization, Relational Databases, Database Queries, Distributed File Systems, Distributed Data Store, Fault Tolerance, Apache Hadoop, Hadoop Distributed File System, Python (Programming Language), PostgreSQL, Visual Basic .NET (Programming Language), Object-Oriented Software Development, Oracle SQL Developer, Power BI, Software Engineering, SQLite, PL-SQL, SQL Databases, Data Streaming, Transact-SQL, Data Processing, Scripting, Microsoft Power Automate, Apache Spark, Parallel Computation, Backend, Data Lakes, Low-code, Front End Software Development, Data Pipelines, Powerapps
- **Published:** July 23, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

readiness,standardizedinputs, and accurate generation ofcustomer-facingmaterials. + Independently drive and manage project scope, roadmaps, and end-to-end deliverables, partnering cross-functionally to ensure successful execution and outcomes. KNOWLEDGE AND SKILLS? + Proficiency in object-oriented programming, with expertise in VB.NETorcomparablelanguages.NETlanguages. + Hands-on experience with Oracle SQL(PL/SQL), including writing queries, managing relational data, and optimizing datainteractions. OrSimilar SQL Dialectssuch asMySQL, PostgreSQL, T-SQL, SQLite, etc. + Experience working with Big Data frameworks and distributed file systems (such as Apache Spark and Hadoop/HDFS), including building and optimizing scalable data pipelines, leveraging distributed storage and parallel processing, and ensuring performance, reliability, and fault tolerance in large-scale data environments. + Ability to program independently in languages such as R or Python,particularly for
data manipulation, analysis, and scripting automation. + Experience building and managing data solutions on major cloud platforms (Azure, AWS, Google), including data integration, databases, data lakes, and virtual compute infrastructure. + Proficiency with distributed file systems and processing frameworks such as Spark and Hadoop to build scalable, high-performance data pipelines. + Familiarity with the Microsoft Power Platform (Power Automate, Power Apps, Power BI) for workflow automation and low-code solution development. + Technical competency to perform analytics: data extraction, data cleaning, and data visualization + Ability tointegrate, manage, and harmonize diverse and complex data sources, ensuring accuracy and consistency across systems. + Experiencecontributing to full software or solution lifecycles, from concept and design through development, implementation, and maintenance. + Familiarity with technical writing principles or interest in automating
and enhancing the generation of technical product content. + Self-directed, detail-oriented problem solver with strong analytical thinking and initiative. + Ability to translate complex technical concepts or schema into clear, understandable terms across broad audiences. + Experience with Agile design approaches and CI/CD pipelines. + Knowledge of basic scientific principles in biology and chemistry and/or experience working closely with scientists on data analysis or data pipeline projects (Familiarity with flow cytometry principlesis a plus) EDUCATION AND EXPERIENCE? + Bachelor's Degree or Master of Science degree in Data Science, Data Engineering, Information Systems, Bioinformatics, Computational Biology, Software Engineering or related technical discipline. + Minimum of7years of relevant experience required Salary for this role: 50000 **Why Join Us?** To find purpose in the possibilities, we need people who can see the bigger picture, who understand the

## Description

turn scientific challenges into breakthroughs that improve lives worldwide. **We are the people who give possibilities purpose** BD is one of the largest global medical technology companies in the world. Advancing the world of health is our Purpose, and it's no small feat. It takes the imagination and passion of all of us-from design and engineering to the manufacturing and marketing of our billions of MedTech products per year-to look at the impossible and find transformative solutions that turn dreams into possibilities. **Job Description** This role is a key contributor within the Research and Development organization, responsible for applying data expertise and automation principles to generate accurate, customer-facing scientific content. As a member of the Innovative Core Solutions team, the successful candidate will leverage modern data technologies and process improvement methodologies to drive efficiency in how product information is created and maintained. The position will
serve as a subject matter expert in data handling, with a focus on cleaning, standardizing, wrangling, and managing the data and inputs used to produce product labels and scientific content for our online catalog. This requires a strong understanding of the inputs and outputs within a custom SQL database and VB.NET based platform, with the goal of optimizing how teams interact with backend and frontend systems to reduce redundant data entry, minimize errors, and improve data consistency across the organization. This position will collaborate cross functionally and lead initiatives that streamline data flows, strengthen data integrity, and enable scalable, automated content generation. DUTIES AND RESPONSIBILITIES? + Interact with scientists and technical writers to translate business needs into transformative process flows and tools. + Serve as a subject matter expert (SME) for data handling, standardization, and automation within the scientific content and
labeling workflow. + Clean, validate, wrangle, and standardize product data and metadata used to generate labels and customer-facing scientific content. + Develop and refine data pipelines and content generation processes to improve accuracy, consistency, and efficiency across teams. + Optimize interactionswiththe custom in-house SQL database + VB.NET platform, ensuring inputs, outputs, and datastructuressupportingstandardized content creation. + Identify and implement opportunities to eliminateredundantdata entry, reduce user-introduced errors, and strengthen data integrity across the organization. + Apply automation, scripting, and data technologies to streamline content development and support scalable catalog and labeling operations. + Leadcontinuousimprovement initiatives aimed atenhancingdata flow, reducing variability, and establishing best practices for scientific content creation. + Support new product initiatives by ensuring data


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