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For Companies At a Glance
- Tasks: Develop and enhance forecasting pipelines while collaborating with data scientists.
- Company: Join a leading environmental services client making a positive impact.
- Benefits: Enjoy remote work flexibility with occasional travel and competitive pay.
- Why this job: Be part of a dynamic team improving GIS data processing in a meaningful sector.
- Qualifications: Strong Python and AWS skills, plus GIS expertise required.
- Other info: This is a 4-month contract role starting on 26 February.
Location: Remote (Occasional Travel)
Start Date: 26 February
Duration: 4 months
Salary: £400-£500 per day
We are seeking a highly skilled mid- to senior-level Data Engineer to join our leading environmental services client. The role will involve working with ETL Pipelines using Python, AWS and Airflow as well as building GIS Software.
Key Responsibilities
- Develop and enhance forecasting pipelines
- Scale existing systems and integrate new models
- Collaborate with data scientists and engineers to improve GIS data processing
- Implement and optimise AWS cloud solutions
- Work with Airflow for workflow management
Required Skills & Experience
- Strong proficiency in Python
- Extensive AWS experience
- GIS expertise
- Ideally experience with Airflow
- Mid to senior-level experience in Data/Software Engineering
If you are a Data Engineer with strong AWS and GIS experience looking for an exciting contract opportunity in the environmental sector, apply now!
Senior Data Engineer employer: Gravitas Recruitment Group Ltd
Contact Detail:
Gravitas Recruitment Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in GIS and AWS. Being able to discuss recent advancements or projects you've worked on can really impress during interviews.
✨Tip Number 2
Network with professionals in the environmental services sector. Attend relevant webinars or meetups to connect with others in the field, which could lead to valuable referrals.
✨Tip Number 3
Prepare to showcase your experience with ETL pipelines and Airflow. Be ready to discuss specific challenges you faced and how you overcame them, as this will demonstrate your problem-solving skills.
✨Tip Number 4
Research our company culture and values at StudySmarter. Tailoring your conversation to align with our mission can help you stand out as a candidate who fits well within our team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AWS, and GIS. Use specific examples from your previous roles that demonstrate your proficiency in these areas.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in the role and how your skills align with the job requirements. Mention your experience with ETL pipelines and workflow management using Airflow.
Showcase Relevant Projects: If you have worked on projects involving data engineering or GIS software, include them in your application. Briefly describe your role and the impact of your work.
Highlight Collaboration Skills: Since the role involves collaboration with data scientists and engineers, emphasise your teamwork experience. Provide examples of how you have successfully worked in cross-functional teams.
How to prepare for a job interview at Gravitas Recruitment Group Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python, AWS, and Airflow. Bring examples of past projects where you've successfully implemented these technologies, especially in relation to ETL pipelines and GIS software.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to troubleshoot and optimise systems. Prepare to share specific instances where you identified issues in data processing and how you resolved them, particularly in a collaborative environment.
✨Understand the Environmental Context
Familiarise yourself with the environmental services sector and how data engineering plays a role in it. Showing an understanding of the industry can set you apart and demonstrate your genuine interest in the position.
✨Prepare for Behavioural Questions
Be ready to answer behavioural questions that explore your teamwork and communication skills. Think of examples where you've collaborated with data scientists or engineers to enhance GIS data processing, as this is crucial for the role.
