Lead Data Engineer $60,000 USD/year Pay is set based on global value, not the local market.
Most roles = hourly rate x 40 hrs x 50 weeks
Description
Are you a visionary data engineer ready to lead the charge in transforming raw data into strategic insights? Join us at IgniteTech, where your expertise will power the future of enterprise software.
IgniteTech thrives on innovation and strategic acquisitions, scaling businesses with cutting-edge data insights. As a Lead Data Engineer, you'll be at the forefront of this transformation, harnessing the power of generative AI to shape our future. Your role will be pivotal in predicting trends, optimizing pricing, and eliminating inefficiencies.
This isn't a routine data engineering role. You're not just maintaining systems; you're revolutionizing them. You'll develop AI-driven models that influence executive decisions and drive our company's growth. Your contributions will be felt at the highest levels, impacting revenue streams and operational strategies.
Join our dynamic team, where precision, strategic thinking, and innovation are the keys to success. If you're ready to leverage AI tools to push boundaries and redefine what's possible, we want you on our team!
What you will be doing
- Design and implement advanced data models to forecast revenue trends and optimize vendor spend, providing actionable insights for pricing, product, and procurement strategies.
- Conduct comprehensive data analyses to evaluate vendor performance and identify opportunities for cost savings and risk mitigation, supporting strategic vendor management decisions.
- Create and deliver executive-ready dashboards and reports, translating complex data into clear, actionable insights for senior leadership.
What you will NOT be doing
- Spending your time on routine data maintenance or low-impact data processing tasks.
- Focusing solely on month-end reporting or historical data analysis without contributing to forward-looking strategies.
- Creating reports for decisions that have already been made, rather than influencing future strategies.
Key responsibilities
Candidate requirements
- Proven experience as a data engineer with expertise in using Generative AI tools (LLMs, copilots, automation agents) to enhance data-driven decision-making.
- Strong background in revenue and cost optimization through data analysis and modeling.
Applying for a role? Here’s what to expect.
Crossover's skill assessment process combines innovative AI power with decades of human research, to take the guesswork, human bias, and pointless filters out of recruiting high-performing teams.
Pass Cognitive Aptitude Test.
Pass English Proficiency Test.
Prove Real-World Job & AI Skills.
Ace An Interview Or Two.
Accept Job Offer.
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