Senior Data Engineer | Hybrid
We're hiring for a leading force in the automotive industry, renowned for its innovation and commitment to transforming the digital landscape. This employer is seeking a talented individual to join their Enterprise Finance Technology team and play a pivotal role in shaping strategic decision-making through advanced data solutions.
The Role
• Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
• Ensure data integrity through automated quality checks and validation frameworks.
• Independently plan, manage, and deliver end-to-end data projects.
• Support dashboard and reporting development, leading enhancements to financial processes.
• Partner with finance and analytics teams to design viable data solutions.
• Mentor junior team members and stay current on emerging data technologies.
What You'll Need
• Bachelor's degree in a related discipline and 4+ years of experience in data engineering or architecture.
• 4+ years of hands-on experience in data engineering, business intelligence, and/or enterprise analytics.
• Advanced SQL proficiency and experience with data integration tools.
• Strong working experience with data modeling, data storage techniques, and cloud environments like Snowflake and AWS.
• Experience with data warehousing concepts, ETL/ELT patterns, and business intelligence tools.
• Proven project management experience with complex system implementations and Git.
What's On Offer
• Opportunity to work with cutting-edge technologies, including AI-assisted development tools.
• Flexible paid time off policy, including vacation, holidays, and wellness days.
• Eligibility for additional paid time off for various community and personal needs.
• Exposure to diverse financial and cross-functional technology groups.
Apply via Haystack today!