(Senior) Data Engineer

This is Lyondellbasell

LyondellBasell (NYSE: LYB): As a leader in the global chemical industry, LyondellBasell strives every day to be the safest, best operated and most valued company in our industry. The company’s products, materials and technologies are advancing sustainable solutions for food safety, access to clean water, healthcare and fuel efficiency in more than 100 international markets. LyondellBasell places high priority on diversity, equity and inclusion and is Advancing Good with an emphasis on our planet, the communities where we operate and our future workforce.   The company takes great pride in its world-class technology and customer focus. LyondellBasell has stepped up its circularity and climate ambitions and actions to address the global challenges of plastic waste and decarbonization. In 2022, LyondellBasell was named as one of FORTUNE Magazine's "World's Most Admired Companies" for the fifth consecutive year. For more information, please visit www.lyondellbasell.com or follow @LyondellBasell on LinkedIn.

This is the role

LyondellBasell’s Digital Advanced Analytics organization provides value focused and scalable digital, data-driven, and advanced analytics solutions across LyondellBasell’s enterprise. Through working closely with other Data Engineers, Data Scientists, business domain experts, and IT, the Sr. Data Engineer will have the opportunity to provide significant tangible business value through developing and deploying scalable Data Engineering capabilities on high value problems. This requires a team of innovative, energetic, productive, software development minded, and humble individuals who demonstrate LyondellBasell’s core values in the application of Data Engineering pipelines and workflows on each project.  At LyondellBasell, we work a flexible hybrid schedule, which includes remote work-from-home days and in-person team collaboration days.

These are your roles & responsibilities

In this role you will work on the following:

•    Place emphasis on delivering value through developing data engineering pipelines and solutions, through excellent problem solving, development, and implementation of scalable solutions
•    Work collaboratively with data scientists, software engineers, and business SMEs (Process Engineers, Automation Engineers, Reliability Engineers, other business domain experts) in providing data pipelines and workflows which are critical to delivering data driven solutions
•    Work collaboratively with IT to develop and ensure proper architecture, security, exception handling, testing, and code development standards are adhered to
•    Architect and develop data workflows and pipelines necessary for algorithm and ML solution deployment and maintenance for chemical manufacturing domains including predictive maintenance, reliability, preventing downtime, industrial automation and optimization, demand forecasting, and improving health and safety
•    Leverage deep data engineering, architecture, advanced technologies, software development expertise, and code development standards to enable the delivery of advanced analytics projects
•    Architect, define, and develop technical platforms, frameworks, and applications, to provide data, business intelligence, and information
•    Network internally and externally to build relationships that foster technology transfer and collaboration
•    Assist with the promotion of digital transformation, training and development of other Data Engineers, Data Analysts, and other peers throughout the organization

This is what you bring

•    BS (MS strongly preferred, and PhD desired) in Computer Science, Software Engineering, Computer Engineering, or related technical field
•    4+ years professional hands on software development experience with a PhD, or 6+ years’ experience with an MS degree, or 8+ years’ experience with a BS degree
•    Demonstrated ability to drive a project, and work both independently and in a team
•    High level of enthusiasm and a love of data, software development, and data engineering
•    Strong quantitative and problem-solving skills, including strong data, technical, and mathematical knowledge and skills
•    Strong Python, JavaScript, and/or SQL programming and scripting skills
•    Experience with stream-processing systems, Big Data querying tools, MapReduce, MongoDB, Cassandra, integration of data from multiple data sources, ETL techniques and frameworks, and/or messaging systems
•    Proficiency and expertise in Real Time historian data, SQL, NoSQL, and/or NewSQL database technologies
•    Experience working with large structured and/or unstructured data and technologies
•    Specialty skills in large scale computing, cluster computing, and/or cloud computing (Azure preferably)
•    Experience with Linux, Unix, Git, and software development testing frameworks

This is what we hope you will bring

•    MS strongly preferred, with a PhD preferred
•    6+ years professional hands on software development experience with a PhD, or 8+ years’ experience with an MS degree, or 10+ years’ experience with a BS degree
•    Experience with microservices architecture, Kubernetes, Docker, and/or CI/CD frameworks
•    Strong programming and scripting skills in other languages, such as C#, C++, Java, Julia, or Scala
•    Experience with Jupyter Notebooks or VS Code
•    Experience working with Data Scientists on architecting and delivering scalable, end to end advanced analytics solutions
•    Specialized experience in providing data engineering solutions in various Data Science domains, such as Predictive Maintenance, Forecasting, Real Time streaming analytics, Image Analysis leveraging deep learning methodologies, and optimization
•    Experience with modern Data Engineering, ML and Data Science libraries such as Pandas, NumPy, Scikit-Learn, NLTK, Seaborn, Dplyr

This is who you are

You are an effective team-builder who collaborates on all levels of the organization. You are analytical and understand the bigger picture, without losing sight on your specific task. Your focus lies on cultivating innovation, demonstrating courage and driving results, but without losing sight of the customer focus and ensuring accountability.

This is what we offer

We offer an environment where we encourage personal and professional growth and where you will be rewarded for your performance and results. You will have the possibility to work with specialist on all fields to develop innovative solutions and to extend your national and international network. In addition, we offer you a competitive salary package. The Company's Global Remote Work Policy allows eligible employees the option to work up to two days a week from home. LyondellBasell is committed to advancing diversity, equity & inclusion (DEI) to ensure a positive experience for all employees.

Interested

Please feel free to contact Dennie Verberne at dennie.verberne @ lyondellbasell.com for more details. Would you like to apply? Just send us your motivation and resume via the application button. Only applications through this application button will be taken into consideration.

The recruitment process exists of an initial phone screening and business interviews before proceeding to a possible job offer. A background check will be part of the process.

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