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- Tasks: Manage soil carbon datasets and create robust data systems for impactful projects.
- Company: Join a forward-thinking company focused on environmental sustainability.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with a focus on innovation and collaboration across teams.
- Why this job: Make a difference in the agritech sector while working with cutting-edge data technologies.
- Qualifications: 5-7 years as a Data Engineer with strong SQL and Python skills.
The predicted salary is between 50000 - 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 working 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) in England employer: RemoteStar
Contact Detail:
RemoteStar Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Remote) in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, dashboards, and any projects you've worked on. This gives you a chance to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when tackling problems, as this will help you stand out during technical interviews.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it makes it easier for us to keep track of your application.
We think you need these skills to ace Data Engineer (Remote) in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with SQL, data pipelines, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission at StudySmarter. Keep it concise but impactful!
Showcase Your Technical Skills: Don’t forget to mention your technical skills in your application. Whether it's AWS services or Python programming, we want to know what tools you’re comfortable with. Be specific about your experience!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. We can’t wait to see what you bring to the table!
How to prepare for a job interview at RemoteStar
✨Know Your Data Inside Out
Make sure you’re well-versed in the soil carbon dataset and any relevant agricultural data. Brush up on your SQL skills and be ready to discuss how you’ve optimised complex queries in the past. This will show that you can hit the ground running!
✨Showcase Your Pipeline Experience
Be prepared to talk about your experience with building and maintaining data pipelines. Have specific examples ready that demonstrate your ability to create scalable solutions and troubleshoot performance issues. This is crucial for the role!
✨Communicate Like a Pro
Since you’ll be interacting with various teams, practice explaining technical concepts in simple terms. Highlight your excellent written and verbal communication skills, as this will be key in translating business demands into technical solutions.
✨Familiarise Yourself with the Tools
Get comfortable with AWS services like Glue, S3, and RDS, as well as big data tools like Snowflake or Redshift. If you have experience with geospatial data or environmental datasets, be ready to discuss how that knowledge can benefit the company.