Data Engineer - Hybrid/Southfield, MI

 

Title: Data Engineer

Location: Hybrid/Southfield, MI, US

Job Type: Full-time with Benefits  

 

Who We Are

For more than 25 years, MSX International has been a dedicated partner to leading automotive brands around the world. We support them in transforming their businesses and in managing their operations across the areas of Customer Experience, Repair Optimization, Learning and Insights. We focus on helping our clients generate more value for their customers. With over 5,000 employees based in more than 80 countries worldwide, our teams provide industry-leading expertise. We have combined our deep industry expertise with cutting-edge technology solutions to help our automotive clients increase revenue and reduce costs, while enhancing operational efficiency and improving customer satisfaction.  Our goal is to help our customers reach their full potential and to excel as their global partner of choice.

 

SUMMARY  

MSX is launching a new data driven startup team. This team will be built from individuals who want to be entrepreneurs and create new innovative digital products for the mobility industry. We are looking for individuals who exhibit curiosity, are extremely resourceful, enjoy being creative, bring lots of energy & have grit. 

This position is responsible for designing, developing, and maintaining business data platforms that allow insights into customer data. The Data Engineer will use SQL skills to execute high quality projects and assignments with a high degree of accuracy in a timely manner.  

 

ESSENTIAL DUTIES AND RESPONSIBILITIES 

• Design, code, test, correct and document programs and scripts using agreed standards and tools to achieve a well-engineered result. 

• Ensure data quality and implement tools and frameworks for automating the identification and notification of data quality issues. 

• Profile data sources and develop ETL processes with knowledge of data modeling fundamentals, using both SQL and supporting ETL/ELT tools. 

• Assists management in creating estimates and proposals for clients. 

• Plan effective data storage, security, sharing and publishing within the organization. 

• Create and update documentation of process flows and business rules.  

• Maintain current workflows and create new ones for the automated processing of large amounts of data. 

 

MINIMUM QUALIFICATIONS 

• Bachelor's degree in computer science, statistics, mathematics, or relevant discipline  

• 1-3 years of Data engineering and/or data warehousing experience 

• Experience in designing and developing ETL/ELT data pipelines.  

• Proficiency in writing Advanced SQL queries. 

• Proficiency in ANSI SQL. 

• Familiarity with T-SQL and PL/SQL. 

• Strong analytical skills with ability to understand and communicate the meaning of the data being presented. 

• Excellent Mathematical/Statistical and Logic skills.  

• Excellent Reasoning skills. 

• Enthusiastic, highly motivated and ability to learn quickly. 

 

PREFERRED QUALIFICATIONS 

• 1-3 years automotive operations experience, or similar business (quick-paced environment). 

• Experience with Databricks. 

• Experience building Azure cloud data solutions and migrating from on-prem to cloud. 

• Previous external client facing experience. 

• Familiarity with administering MS SQL Server or Oracle. 

• Familiarity with GIT repositories. 

• Strong communication skills and a working knowledge of agile development, including DevOps concepts. 

• Experience with data visualization tools (Tableau, PowerBI, etc.) 

 

MSX VALUES 

• We get it done – We are decisive, solution oriented, and results focused. Motion is our first instinct. 

• We are exceptional teammates – We put collective success before individual achievement. We back each other, embrace diverse perspectives, and win as one team. 

• We prove our words with our actions – We are proud of the journey. We are guided by our values to do what is right for our clients, our company, and our teammates. 

• We deliver on our commitments – We share openly, question respectfully, and once a decision is made, own it fully. We are accountable to one another, acknowledge our mistakes, and take positive action. 

• We are fearless explorers – We are unafraid to discover new roads. We harness our creativity to find better ways of navigating the future. 

• We create a better to