Azure Data Engineer
Role summary
Mercedes-Benz Financial Services is seeking a Data Engineer to join their Data & Analytics team. This role is responsible for designing, developing, and deploying scalable data pipelines and infrastructure within a Microsoft Azure-based ecosystem. The Data Engineer will work on data product development, pipeline architecture and automation using Azure Databricks and Azure Data Factory, and contribute to data modernization efforts by migrating on-premise solutions to Azure. The position also involves providing technical leadership and mentoring to foster best practices in data engineering. A Bachelor's degree and a minimum of 5 years of overall work experience are required, with preferred experience in Azure data services and object-oriented programming languages.
Aufgaben
About Us:
Who is Mercedes-Benz Financial Services?
Mercedes-Benz Financial Services, part of the global company Mercedes-Benz Mobility AG is the captive financing and mobility solutions company of the global luxury automobile manufacturer, Mercedes-Benz AG. We offer a comprehensive range of automotive financial and insurance products that make it easy for our customers to drive their dream Mercedes-Benz vehicle.
Why work at Mercedes-Benz Financial Services?
Working at Mercedes-Benz Financial Services is more than a job – it’s an opportunity to join an innovative team where you are valued for your contributions. As an employee, you will experience career development in a positive, employee-centric environment. We’re a global company that not only offers best-in-class products to our customers but also best-in-class benefits to our employees. Our employees experience a comfortable, friendly environment and relaxed, inclusive culture.
Benefits
When working at Mercedes-Benz Financial Services, you will enjoy a comprehensive and amenity-rich benefits package offering something for every employee at each stage of their life.
As a new employee, you will have the opportunity to take advantage of the following benefits that go beyond – beginning day one:
Get Rewarded! Competitive salary plus an annual bonus based on company performance and/or personal yearly performance
Need a vacation? How about just some time for YOU! In addition to our vacation time, you’ll receive fifteen (15) additional corporate holidays, which will allow you to celebrate religious holidays or escape to the spa! Designed to be flexible, we let you decide which days are most important to you!
Ride in Style - All employees are eligible to participate in the Mercedes-Benz Employee Lease Program
We want you to be healthy! Outstanding medical, dental, and vision insurance, employer-paid short and long term disability plus on-site exercise facilities
Is your family growing? Enjoy generous paid Family Leave Programs - Six Weeks for New Parents; Adoption Expense Reimbursement Programs - up to $6k per child
Want to go back to school? Tuition Assistance Scholar Program - receive up to $8k in vouchers to complete business-related coursework
- $6k for undergraduate
- $8k for graduate
Job Overview:
The Data & Analytics Data Engineer plays a pivotal role in advancing the organization's data strategy and delivering robust analytical solutions across critical business functions. This position is responsible for designing, developing, and deploying scalable data pipelines and infrastructure. Working within a cross-functional team, the Data Engineer will identify analytical opportunities, contribute to solution architecture, and ensure the secure and compliant handling of confidential data. The Data & Analytics Data Engineer is responsible for designing, developing, and deploying robust data products and solutions within a Microsoft Azure-based data ecosystem
Responsibilities:
- Data Product Development: Leading the retrieval, migration, integration, and construction of data products, applying industry-proven disciplines in Data Acquisition, Integration, Curation, and Distributed Data Processing to support diverse Data & Analytics use cases.
- Pipeline Architecture & Automation: Designing, deploying, and automating scalable data pipelines in an Azure Databricks-based Lakehouse, leveraging Azure Data Factory and Databricks best practices. This includes transforming and curating datasets for rapid consumption and discovery by analytical and business users.
- Data Modernization: Contributing to the migration of complex on-premise data solutions to Azure, ensuring efficiency and scalability.
- Technical Leadership: Providing technical expertise and mentoring to foster best practices within the data engineering space and coordinating development and support activities.
Qualifikationen
Qualifications:
Applicants must be legally authorized to work in the U.S. at the time of application. Relocation assistance will not be provided for this position.
This position requires a minimum of 5 year of overall work experience. Preferred experience includes:
- 5+ Years experience designing and building data pipelines in Microsoft Azure (Data Factory, Databricks (Lakehouse, Delta Lake, Unity catalog), ADLS, Integration Runtime, Express route & MS SQL Server) supporting Datawarehouses.
- Proficient in creating data pipelines and in hybrid data movement from on-prem systems to MS Azure.
- Experience with object-oriented programing languages such as Python, R, Scala, and Java.
- Experience using wide variety of file formats and compression techniques.
- Experience with CI/CD processes.
Education:
Bachelor's Degree is required, Master's Degree is preferred. Recommended majors include:
- IT
Additional Knowledge:
- Azure Data Platform Expertise
- Data Migration & Modernization
- DevOps & Automation
- Data Governance & Quality
Skills:
- Facilitation skills
- IT skills
- Database
- Programming
- Application development
- PC skills
- Microsoft Office
- Presentation skills
- Problem Solving skills
- Project Management skills
- Team member
Additional Skills:
- Knowledge of emerging Data Engineering tools & technologies.
- Broad understanding and experience with BI and real time analytics platforms.
- Analytical Skills
- Ability to collect data, establish facts, and identify trends and variances.
- Ability to Integrate information from a variety of sources with varied levels of complexity
- Ability to Review and interpret and evaluate information.
- Ability to Formulate and test hypotheses for the purpose of forecasting outcome
Posting Statement
If you were not re-directed successfully after clicking the “Apply for this job” button, please click the following link to search and apply for the role on the local career portal: https://daimler.taleo.net/careersection/ex/jobsearch.ftl
Mercedes-Benz Financial Services offers competitive salary, performance-based bonuses and a full suite of benefits including 401(K) with match, generous vacation and personal time, a Mercedes-Benz car program as well as flexible work arrangements.
EEO/Minorities/Females/Disabled/Vets
Benefits
Mitarbeiter Events
Mitarbeiterrabatte möglich
Mitarbeiterhandy möglich
Mobilitätsangebote
Betriebliche Altersversorgung
Gesundheitsmaßnahmen
Coaching
Kantine, Café
Parkplatz
Barrierefreiheit
KontaktMercedes-Benz Financial Services USA LLC
14372 Heritage Pkwy76177 Fort WorthDetails zum Standort
NAFTA SSC E-Mail: nafta\_ssc\_recruiting@mercedes-benz.com
Bewerben
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