Senior Specialist, IT Application Solutions

3/4/2026

This role involves leading the development and support of ETL pipelines, dashboards, and data analytics solutions using tools like Alteryx, Python, and SparkSQL. Key duties include designing scalable ETL processes, building interactive Power BI dashboards, and modeling data in GraphDB.

Working Hours

40 hours/week

Company Size

10,001+ employees

Language

English

Visa Sponsorship

About The Company

Celanese is a global leader in chemistry, producing specialty material solutions used across most major industries and consumer applications. Our businesses use our chemistry, technology and commercial expertise to create value for our customers, employees and shareholders. We are committed to sustainability by responsibly managing the materials we create for their entire lifecycle and are growing our portfolio of sustainable products to meet increasing customer and societal demand. We strive to make a positive impact in our communities and to foster inclusivity across our teams. Celanese is a Fortune 500 company that employs more than 11,000 employees worldwide with 2024 net sales of $10.3 billion. For more information, visit www.celanese.com. For Celanese product news about our Engineered Materials offerings, follow @CelaneseEngineeredMaterials on LinkedIn.

About the Role

Job Overview 综述

Celanese is seeking a proactive and experienced Data Engineer with advanced Power BI expertise to lead the development and support of ETL pipelines, dashboards, and data analytics solutions. The role involves working with tools like Alteryx, Python, SparkSQL, Cognite Data Fusion, and GraphDB, while mentoring junior team members and ensuring operational excellence.

Responsibilities 职责

Key Responsibilities:

ETL & Data Engineering

Design and maintain scalable ETL pipelines using one of Alteryx, Informatica, SSIS ETL tools.
Develop Python (Streamlit, Pandas, Numpy) scripts for data transformation and automation.
Ensure data quality, integrity, and security across platforms.
Collaborate with business users to gather and document requirements.
Translate business needs into technical specifications.
Build ETL Pipelines on Cognite Data Fusion (CDF) – willing to learn and explore on own.

Power BI Development

Build and enhance interactive dashboards using Power BI.
Apply advanced DAX for calculated columns, measures, and KPIs.
Optimize visualizations for performance and usability.
Provide demos and walkthroughs to stakeholders.

SQL & Data Modeling

Write and optimize complex SQL queries for data ingestion, extraction and analysis.
Model and manage data in GraphDB or similar graph databases (e.g., Neo4j, Amazon Neptune).
Design graph-based schemas and optimize queries.

Qualifications 要求

Required Qualifications:

7+ years of experience in Data Engineering and Power BI development.
Strong proficiency in SparkSQL, Python (Streamlit, Numpy, Pandas), and ETL tools (Alteryx, Informatica, SSIS).
Experience with GraphDB or similar technologies.
Experience with Data Modelling
Familiarity with Cognite Data Fusion or willingness to learn.
Excellent communication and stakeholder management skills.
Experience in production support and change management.
Team lead capabilities, should be able to lead at least 2-3 juniors in the team

Key Skills

Data EngineeringPower BIETL PipelinesAlteryxPythonSparkSQLCognite Data FusionGraphDBDAXSQLData ModelingStreamlitPandasNumpyInformaticaSSIS