At a Glance
- Tasks: Design and maintain data pipelines and analytics solutions to optimise performance and cost.
- Company: Join a leading company in Customer & Commercial Intelligence with a focus on innovation.
- Benefits: Competitive salary, remote work options, and opportunities for professional growth.
- Other info: Dynamic teams with excellent career advancement opportunities await you.
- Why this job: Make an impact by working on cutting-edge data solutions and AI capabilities.
- Qualifications: 3+ years in data engineering or software engineering with cloud technologies experience.
The predicted salary is between 63000 - 77000 £ per year.
As a Senior Data Engineer for Customer & Commercial Intelligence located in Johnston, IA, Moline, IL or Remote at manager’s discretion, you will:
- Design, deploy, and maintain data pipelines, data products, analytics solutions, and AI capabilities that optimize performance, storage, compute consumption, and token utilization while effectively managing cost.
- Build contextual data layers and supporting infrastructure using engineering practices for reliable delivery.
- Partner with Customer Success, Marketing, Finance, and Commerce teams.
- Define development requirements and validation criteria.
This requisition is intended to fill two Senior Data Engineer openings within Customer & Commercial Intelligence. Successful candidates may be placed on either the Activation & Utilization team or the CCI Enablement team based on business needs, experience, and areas of interest.
VISA Sponsorship is NOT Available for this position.
What Skills You Need
- 3 or more years of work experience in data engineering, software engineering, or related field in delivering scalable and reliable data solutions leveraging cloud technologies.
- 3 or more years of experience in analytics/data platforms and/or technologies (e.g., Databricks, Spark, Python, or Java as well as CI/CD tools particularly Databricks and GitHub Actions).
- Experience designing and implementing scalable data models to support data products and analytics.
- Excellent written and verbal communication skills with an ability to translate information seamlessly between technical and non-technical audiences.
- Self-starting and eager to lead through ambiguous situations or topics.
- Detail oriented with a demonstrated ability to understand and manipulate complex systems.
What Makes You Stand Out
- Experience working with tech stack equipped machine and customer data (See & Spray, Harvest Automation, Premium Precision, Autonomous Tillage, etc.).
- Cross-domain experience within varied business areas such as John Deere Financial, ISG, Engineering, Customer Success, Marketing, or something similar.
- Experience building for and supporting AI based solutions.
- API experience.
- Databricks Certified Data Engineer.
Education
Ideally, you will have a degree or equivalent related work experience in the following: Bachelor’s degree or higher in a technical or analytics related discipline, or equivalent work experience in an analytics role demonstrating proficiency in the required skills.
Senior Data Engineer in Torpoint employer: Iowa State University Research Park
Iowa State University Research Park is an exceptional employer, offering a dynamic work environment in Torpoint, England, where innovation meets collaboration. Employees benefit from a strong focus on professional development, with ample opportunities for growth and advancement in the field of embedded security. The culture promotes teamwork and creativity, making it an ideal place for those looking to make a meaningful impact in their careers.
Contact Details:
Iowa State University Research Park Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Torpoint
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We think you need these skills to ace Senior Data Engineer in Torpoint
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
