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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 environmental sectors.
- 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 43200 - 72000 £ 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 work with agricultural or environmental datasets. Engaging in relevant online communities or attending industry meetups can provide insights and connections that may help you land the job.
✨Tip Number 3
Prepare to discuss your experience with data quality controls and validation processes. Be ready to share specific examples of how you've implemented these in past roles, as this is a key responsibility for the position.
✨Tip Number 4
Showcase your ability to communicate technical concepts to non-technical stakeholders. Since you'll be interacting with various teams, demonstrating your communication skills can highlight your fit for the collaborative nature of the role.
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 skills in SQL, database management, and any specific projects related to data pipelines or environmental datasets.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about the role and how your background aligns with the company's mission. Mention your experience with AWS services and any familiarity with geospatial data or agritech.
Showcase Technical Skills: Be specific about your technical skills in your application. Include examples of how you've built data pipelines, optimised queries, and implemented data quality controls in previous roles.
Highlight Communication Skills: Since the role involves interaction with various teams, emphasise your written and verbal communication skills. Provide examples of how you've successfully collaborated with cross-functional teams in the past.
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 data engineering supports their goals, especially in the context of soil carbon and agricultural data. This will help you articulate how your role can contribute to the organisation's success.
✨Prepare for Problem-Solving Questions
Expect questions that assess your troubleshooting skills. Be ready to explain how you've resolved performance issues or data discrepancies in the past, showcasing your analytical thinking and attention to detail.
✨Communicate Clearly and Effectively
Since you'll be interacting with various teams, practice explaining complex technical concepts in simple terms. Good communication skills are essential, so ensure you convey your ideas clearly during the interview.
