Data Engineer, Smart Factory Solutions

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What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
Job Responsibilities:
Magna is looking for Data Engineer to support their data initiatives which will modernize their environment and set them up for future opportunities in the data space (AI, ML, etc). We are looking for a passionate individual who is self learner , has good communication skills and inclination for new technologies.
MAJOR RESPONSIBILITIES

• Collaborate closely with stakeholders and other engineers to develop new and unique data-driven solutions using Big Data platforms, creative analytical methods, and data visualization techniques (Data Modeling etc.)
• Connect and build pipelines between various data sources
• Support operational improvement and business decision making through ad-hoc statistical analysis of curated enterprise data and self-constructed data sets
• Leading BI software development, deployment, and maintenance
• Documenting contents in a data warehouse and meta-data storage
• Creating technical documentation for BI tools
• Data modeling
• Develop KPI dashboards
• Perform additional duties as assigned
• Act with honesty and integrity and make ethical business choices in accordance with Magna's Compliance Policies and Procedures

KNOWLEDGE AND EDUCATION

• Bachelor's Degree in Business, Engineering, Statistics, Computer Science, Mathematics, Supply Chain or equivalent combination of education and experience
• Minimum three (3) years of related experience required
• Excellent analytical thinking for translating data into informative visuals and reports
• Expertise in using advance level calculations on the data sets
• In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework
• Demonstrate the ability to document steps in a process and make technology recommendations to improve the process
• Knowledgeable of statistical methods such as regression, probability analysis, risk analysis, statistical process control, and clustering is desired
• Able to implement row level security on data and understand application security layer models
• Data and business analysis background
• Proficient with Microsoft Office applications, specifically Excel, Word, and PowerPoint
• Strong experience with relational databases like SQL Server, MySQL, and Oracle. NoSQL databases experience is a plus
• Experience with user-defined workflows

SKILLS AND COMPETENCIES

• Problem solver that is action-oriented with the ability to look at problems in new ways.
• Working knowledge of data management software like Data factory, or other ETL tools a plus.
• Strong analytical and problem-solving ability to design an effective solution.
• Ability to support multiple on-going projects in a fast-paced environment.
• Strong communicational skills, organizational skills, negotiation skills, and flexibility to address competing demands.
• Ability to explain Production / technical concepts and analysis implications clearly to a wide audience and be able to translate business objectives into actionable analyses.
• Superior business judgement - ability to flex between big picture thinking, understand and distill complex ideas, and analyze data to drive strategic objectives.

Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
AI-Assisted Screening Disclosure
As part of our commitment to a fair, consistent, and efficient recruitment process, we may use artificial intelligence (AI) tools to assist in the initial screening of applications submitted through our Workday system. These tools help identify qualifications and experience that align with the role requirements. Please note that AI is used solely to support our recruiters. Final decisions are always made by the hiring manager and the hiring team. Importantly, no applicant data is shared externally through these AI tools. All information remains securely within our systems and is handled in accordance with our privacy and data protection policies.
Under conditions defined by applicable law, you may have the right to request an explanation of how AI is used to support decision-making.
If you have any questions or concerns about this process, feel free to contact our Talent Attraction team.
Worker Type:
Regular / Permanent
Group:
Magna Corporate