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- Tasks: Manage soil carbon datasets and create data systems while collaborating with various teams.
- Company: Join a forward-thinking company focused on environmental sustainability and innovative data solutions.
- Benefits: Enjoy remote work flexibility, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a mission-driven team making a real impact in agritech and sustainability.
- Qualifications: BS/B. Tech in Computer Science with 5-7 years of relevant experience and strong SQL skills.
- Other info: Ideal candidates should have attention to detail and familiarity with geospatial data.
The predicted salary is between 36000 - 60000 £ per year.
About the role: As a Data Engineer, you will be instrumental in managing our extensive soil carbon dataset and creating robust data systems. You are expected to be involved in the full project lifecycle, from planning and design, through development, and onto maintenance including pipelines and dashboards. You’ll interact with Product Managers, Project Managers, Business Development and Operations teams to understand business demands and translate them into technical solutions. Your goal is to provide an organisation wide source of truth for various downstream activities while also work towards improving and modernising our current platform.
Key responsibilities:
- Design, develop, and maintain scalable data pipelines to process soil carbon and agricultural data
- Create and optimise database schemas and queries
- Implement data quality controls and validation processes
- Adapt existing data flows and schemas to new products and services under development
Required qualifications:
- BS/B. Tech in Computer Science or equivalent practical experience, with 5-7 years as Data Engineer or similar role.
- Strong SQL skills and experience optimizing complex queries
- Proficiency with relational databases, preferably MySQL
- Experience building data pipelines, transformations, and dashboards
- Ability to troubleshoot and fix performance and data issues across the database
- Experience with AWS services (especially Glue, S3, RDS)
- Exposure to big data eco-system – Snowflake/Redshift/Tableau/Looker
- Python programming skills
- Excellent written and verbal communication skills in English
An ideal candidate would also have:
- High degree of attention to detail to uncover data discrepancies and fix them
- Familiarity with geospatial data
- Experience with scientific or environmental datasets
- Some understanding of agritech or environmental sustainability sectors
Data Engineer (Remote) employer: RemoteStar
Contact Detail:
RemoteStar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Remote)
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as AWS services like Glue and S3. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience in agritech or environmental sustainability. Engaging in relevant online communities or attending industry meetups can provide valuable insights and connections.
✨Tip Number 3
Prepare to discuss your previous projects that involved building data pipelines and optimising database schemas. Be ready to explain your thought process and the impact of your work on the overall project lifecycle.
✨Tip Number 4
Showcase your communication skills by being clear and concise when discussing technical concepts. Since you'll be interacting with various teams, demonstrating your ability to translate technical jargon into business language will be crucial.
We think you need these skills to ace Data Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Data Engineer. Focus on your SQL skills, database management, and any experience with AWS services. Use specific examples to demonstrate your ability to design and maintain data pipelines.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about working with soil carbon datasets and how your background aligns with the company's goals. Mention your experience with big data ecosystems and your understanding of agritech or environmental sustainability.
Showcase Technical Skills: When detailing your technical skills, be specific about your proficiency in Python, MySQL, and any other relevant tools. Highlight projects where you've implemented data quality controls or optimised database schemas.
Demonstrate Communication Skills: Since excellent communication is key for this role, provide examples in your application that showcase your ability to interact with cross-functional teams. Mention any experiences where you translated technical solutions for non-technical stakeholders.
How to prepare for a job interview at RemoteStar
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, data pipelines, and AWS services. Bring examples of past projects where you optimised queries or built scalable data systems, as this will demonstrate your technical proficiency.
✨Understand the Business Context
Familiarise yourself with the company's mission and how your role as a Data Engineer fits into their goals. Be ready to explain how you can translate business demands into technical solutions, especially in relation to soil carbon and agricultural data.
✨Prepare for Problem-Solving Questions
Expect questions that assess your troubleshooting skills. Think of specific instances where you identified and resolved performance issues or data discrepancies, and be ready to walk through your thought process.
✨Communicate Clearly and Effectively
Since you'll be interacting with various teams, strong communication skills are essential. Practice explaining complex technical concepts in simple terms, ensuring that you can convey your ideas clearly to non-technical stakeholders.
