Data Integration Engineer

LyondellBasell Industries; Poznań; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

LyondellBasell’s Digital Technologies (DT) organization is hiring a Data Integration Engineer I to deliver scalable data ingestion, integration, and engineering solutions. You will collaborate with data scientists, engineers, and domain experts to enable data-driven products and insights.

The role emphasizes CI/CD practices, cloud data platforms, and building robust data pipelines in a hybrid work setting with in-person collaboration days.

Qualifications

• BS (MS strongly preferred, PhD desired) in Computer Science, Software Engineering, Computer Engineering, Aerospace Engineering, or related field.
• 0+ years professional hands on data engineering or software development experience with a BS, MS or PhD.
• Exposure to ETL/ELT tools, techniques, design and development.
• Exposure to Cloud Data Warehouses, Databases and Data Lakehouses such as Redshift, Snowflake, Databricks, Azure Synapse, Azure SQL, and/or BigQuery, etc.
• Exposure to event driven architectures and data streaming pub/sub technologies such as Kafka, Azure Event Hub, Spark Streaming and Kinesis.
• Strong programming and scripting skills in SQL, Python, and/or Scala.

Responsibilities

• Place emphasis on delivering value through the development and deployment of data ingestion, integration, and engineering solutions.
• Perform development and maintenance of data ingestion and integration services on the data platform to support analytics at scale.
• Work collaboratively with software engineers, data engineers, data scientists, and business SMEs in providing data ingestion and integrations capabilities.
• Ensure architecture, security, exception handling, testing, and code development standards are adhered to.

Skills

Data integration

ETL/ELT

SQL

Python

Scala

CI/CD

Team collaboration

Data engineering

Education

BS in CS/Software Eng/Comp Eng

MS preferred

PhD desired

Tools

Cloud data warehouses

Databricks

Azure Synapse

Redshift

Kafka

Power BI/Tableau

Job description

Data Integration Engineer

Location: Poznań, PL, 61-569

Facility: POZNAN-6731

LyondellBasellis a leader in the global chemical industry creating solutions for everyday sustainable living. With a nearly 70-yearlegacy that includes a Nobel Prize in Chemistry and our proprietary MoReTec recycling technology, LYB is enabling a more sustainable future for generations to come. LYB develops high-quality and innovative products for applications ranging from sustainable transportation and food safety to clean water and quality healthcare. LYB 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. We'readdressing the global challenges of ending plastic waste, taking climate action, and supporting a thriving society, while generating value for our customers, investors, and society.

Come Join an Inclusive Team

LyondellBasell’s Digital Technologies (DT) organization provides value focused and scalable digital, data-driven, and advanced analytics solutions across LyondellBasell’s enterprise. Through working closely with other Data Engineers, Software Engineers, Data Scientists, business domain experts, and other members of DT, the Data Integration Engineer I will have the opportunity to provide business value through the development and delivery of scalable Data Engineering foundational capabilities supporting high value problems. Success requires a team of innovative, energetic, productive, software engineering minded, and humble individuals who demonstrate LyondellBasell’s core values in the application of software engineering focused Data Engineering integration, 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.

A Day in the Life

• Place emphasis on delivering value through the development and deployment of data ingestion, integration, and engineering solutions which leverage excellent software engineering practices
• Perform development and maintenance of data ingestion and integration services on the data platform to support analytics at scale and the delivery of data products and solutions
• Work collaboratively with software engineers, data engineers, data scientists, and business SMEs (Process Engineers, Automation Engineers, Reliability Engineers, other business domain experts) in providing data ingestion and integrations capabilities which are critical to delivering data driven solutions
• Work collaboratively across DT to ensure proper architecture, security, exception handling, testing, and code development standards are adhered to
• Implement internal process improvements for greater scalability, efficiency, reliability and data quality
• 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

You Bring This Value

• BS (MS strongly preferred, and PhD desired) in Computer Science, Software Engineering, Computer Engineering, Aerospace Engineering, or related technical field
• 0+ years professional hands on data engineering or software development experience with a BS, MS or PhD
• Exposure to ETL/ELT tools, techniques, design and development
• Exposure to Cloud Data Warehouses, Databases and Data Lakehouses such as Redshift, Snowflake, Databricks, Azure Synapse, Azure SQL, and/or BigQuery, etc.
• Exposure to event driven architectures and data streaming pub/sub technologies such as Kafka, Azure Event Hub, Spark Streaming and Kinesis
• Demonstrated ability to 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
• Experience working with one or more languages commonly used for data operations including SQL, Python, and/or Scala
• Technical background with understanding of database methodologies and various relational and NoSQL database technologies
• Knowledge of DevOps and Agile concepts & development principles including continuous integration & continuous delivery (CI/CD)

Preferred Qualifications

• MS or PhD preferred
• 2+ years’ experience with a BS degree
• Strong programming and scripting skills in other languages, such as C#, C++, Java, or Julia
• Experience with VS Code
• Experience with Linux, Unix, Git, GitHub Actions, and software development testing frameworks
• Experience working with data tools in the public cloud – Azure preferred
• Experience working with multiple Big Data file formats (Parquet, Avro, Delta Lake, Iceberg)
• Experience with Data lake storage technologies including ADLS Gen. 2, AWS S3 and GCS
• Experience designing, building and deploying solutions with Azure Data Factory or Databricks
• Experience of Reporting and Analytics tools such as Power BI and Tableau
• Experience in continuous integration tools (Git, Azure DevOps, Jenkins, TFS, Maven, Nexus)
• Data Engineering and/or Solution Architect certification – Azure preferred

Build Partnerships

Grow Capabilities

Promote Inclusion

Motivational Fit

Technical Skills

Deliver Results

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 and benefits package.

The Company's Global Remote Work Policy allows eligible employees the option to work up to three days a week from home.

LyondellBasell is committed to advancing diversity, equity & inclusion (DEI) to ensure a positive experience for all employees.