Data Engineer

Premier Inn Hotels LLC (UAE); Chicago (IL); On-site; USD 120,000 - 180,000; Full time

Job summary

Premier Inn Hotels LLC (UAE) Chicago-based data engineering role seeks an experienced professional to lead data modelling, ETL/ELT, and governance efforts across data platforms. You will work with C#, Python, SQL, and Java, leveraging Azure and Informatica Cloud to enable analytics and business insights.

The ideal candidate brings 8+ years in data engineering, strong communication, and the ability to translate complex data concepts for leadership and technical teams alike.

Qualifications

• Bachelor's degree in computer science, data science, software engineering, information systems, or related quantitative field.
• 8+ years of overall experience in data engineering with experience in data modelling, ETL/ELT, data integration, master data management, data quality, data warehousing, analytics, business intelligence, data science, and governance.
• Proficiency in programming languages such as C#, Python, SQL, and Java.
• Experience with Microsoft technologies and Informatica Cloud; Snowflake and other leading data platforms.
• Strong communication, presentation, and cross-functional collaboration skills.
• Ability to translate complex technical concepts for non-technical audiences.
• Strategic thinking, initiative, adaptability, and a drive for continuous improvement.
• Commitment to diversity, inclusion, and respectful collaboration.

Skills

Data engineering

C#

Python

SQL

Java

Communication

Critical thinking

Problem solving

Leadership

Education

Bachelor's degree in CS/Data/SE/IS or related field

Tools

SQL Server

Synapse

CosmosDB

HDInsight

Azure Data Factory

Azure Databricks

Power BI

Fabric

Informatica Cloud

Snowflake

Job description

Chicago, United States | Posted on 10/11/2026

No C2C, 1099, or third-party profiles accepted.

• Bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field
  
• 8+ years of overall experience in data engineering – primarily within data including experience with data modelling, ETL/ELT, data integration, master data management/entity management, data quality, data warehousing, analytics (prescriptive, predictive), business intelligence, data science, and governance.
  
• Proficiency in programming languages such as C#, Python, SQL, and Java.
  
• Experience with Microsoft technologies (SQL Server (IaaS, PaaS), Synapse, CosmosDB, HDInsight, Azure Data Factory, Azure Databricks, Power BI, Fabric), Informatica cloud technologies (CIH, DIH, CDGC, Master Data Management, Data Quality), Snowflake, and other relevant industry leaders.
  
• Communicate clearly and concisely with others, including senior leadership, in and outside of the organization in a credible, engaging, and confident manner. Possess the ability to adapt communication style and method as necessary, using the most effective communication method for each situation.
  
• Summarize and translate complex, technical information into straightforward language that is simple, memorable, and engaging for various technical and non-technical audiences, helping with interpretation based on anticipated use of the information.
  
• Ability to think critically and creatively. Demonstrate skill at using a variety of tools and processes to conduct research and analyses; Recognize trends in complex data and information; Use these insights to identify opportunities and make timely decisions, taking into consideration the short and long-term implications of decisions. Advise key decision makers and influence others using persuasion and negotiation tactics.
  
• Take the initiative to make things happen. Proactively look for solutions and help others to think ahead. Accept and seek challenges, step outside of your comfort zone. Think and act strategically to drive the success of the business and enhance our client experience. Be innovative and share ideas for continuous improvement. Look for efficiencies in the way work is completed.
  
• Be flexible and work effectively across various types of situations to achieve goals. Navigate through unexpected issues and be responsive to others’ needs. Prioritize different work streams and balance short-term versus long-term objectives.
  
• Value individual differences and treat everyone with respect and kindness. Be appreciative of others; Strive for humility. Respect diverse backgrounds and ways of thinking. Listen to understand and express genuine interest in other perspectives. Strive to understand and take ownership of how your emotions and actions impact others.
  
• Align actions with words and approach work and interactions with others with a positive attitude and an optimistic outlook. Assume positive intent. Stay composed and resilient during challenging times. Respond productively to conflict and have difficult conversations when needed.
  
• Distinguish yourself with stakeholders in and outside the firm by growing your personal brand. Look for ways to share knowledge, make an impact, and leverage talents.