Data Integration Engineer

JobCubby; Poznań; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary and benefits

Remote work up to 3 days/week

Job summary

LyondellBasell’s Digital Technologies organization seeks a Data Integration Engineer I to build scalable data pipelines and integration services. You will partner with data scientists, engineers, and SMEs to deliver data-driven solutions across analytics platforms.

The role emphasizes collaboration, cloud tooling, and robust engineering practices, with a hybrid schedule including remote days and in-person team collaboration.

Qualifications

• BS in Computer Science, Software Engineering, Computer Engineering, Aerospace Engineering, or related technical field.
• 0+ years of hands-on data engineering or software development experience with a BS, MS or PhD.
• Exposure to ETL/ELT tools and data integration.
• Cloud data warehouses and data lakehouses such as Redshift, Snowflake, Databricks, Azure Synapse, Azure SQL, BigQuery.
• Exposure to event-driven architectures and data streaming technologies (Kafka, Azure Event Hub, Spark Streaming, Kinesis).
• Strong team collaboration, enthusiasm for data, and problem-solving skills.
• Programming with SQL, Python, and/or Scala.
• Knowledge of DevOps and Agile concepts including CI/CD.

Responsibilities

• Deliver data ingestion, integration, and engineering solutions for analytics at scale.
• Develop and maintain data ingestion and integration services on the data platform.
• Collaborate with software/data engineers and SMEs to provide data-driven solutions.
• Ensure proper architecture, security, exception handling, testing and coding standards.
• Implement internal process improvements for scalability, reliability, and data quality.
• Develop platforms and applications to provide data, BI, and information.
• Build relationships across teams to foster technology transfer and collaboration.

Skills

SQL

Python

Scala

Data engineering

ETL/ELT

CI/CD

Azure

Databricks

Kafka

Power BI

Tableau

Education

BS in Computer Science / Software Engineering / Computer Engineering

MS or PhD preferred

Tools

Azure Data Factory

Databricks

VS Code

Git

GitHub Actions

Jenkins

Big Data formats (Parquet/Avro)

ADLS Gen2 / S3 / GCS

Job description

LyondellBasell is a leader in the global chemical industry creating solutions for everyday sustainable living. With a nearly 70-year legacy 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're addressing 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

Competencies

• Build Partnerships
• Drive Innovation
• 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.

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