At a Glance
- Tasks: Build an analytics pipeline using Google Cloud Platform and BigQuery.
- Company: We Make Change, a mission-driven organisation focused on financial inclusion.
- Benefits: Gain valuable experience, network with professionals, and contribute to meaningful change.
- Other info: Join a supportive team and enhance your resume with impactful volunteer work.
- Why this job: Make a real-world impact for sub-Saharan African farmers while developing your skills.
- Qualifications: Strong experience with GCP, BigQuery, and commitment of 7-9 hours per week.
The predicted salary is between 50000 - 70000 £ per year.
We Make Change is looking for a Volunteer Data Engineer to assist in building our analytics pipeline. This role requires strong experience with Google Cloud Platform, especially BigQuery and Pub/Sub, with commitments of 7-9 hours per week over 3-5 months.
As a volunteer, you will engage with a supportive team, leveraging existing documentation and architectural roadmaps to make a real-world impact in financial inclusion for sub-Saharan African farmers.
Remote Data Engineer - GCP, BigQuery & Medallion in London employer: We Make Change
We Make Change is an exceptional employer for those seeking meaningful volunteer opportunities, particularly in the role of a Data Engineer. Our collaborative work culture fosters innovation and personal growth, allowing volunteers to contribute to impactful projects that enhance financial inclusion for sub-Saharan African farmers. With flexible commitments and a supportive team environment, you will gain valuable experience while making a significant difference in the community.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Data Engineer - GCP, BigQuery & Medallion in London
✨Get Involved in Open-Source Projects
Dive into some open-source data science projects on platforms like GitHub. Contributing your skills to real-world problems not only hones your abilities but also puts your name out there in the community, making it easier to land volunteer roles with organisations that value your experience.
✨Join Local Data Science Meetups
Check out local data science meetups and events in your area. Networking face-to-face not only helps us pin down opportunities but also lets you connect with fellow data enthusiasts and professionals who might know of volunteering positions at places like We Make Change or elsewhere!
✨Utilise University Resources
If you’re associated with a university, tap into your career services for volunteer opportunities. They often have connections with local businesses and research projects that are looking for volunteers; even a few hours a week can make a difference on your CV!
✨Showcase Your Data Projects
Build a portfolio featuring your completed data projects, even if they’re from coursework or personal initiatives. Share this portfolio on platforms like LinkedIn or personal blogs to highlight your skills, which can grab the attention of potential volunteer roles at We Make Change and beyond.
We think you need these skills to ace Remote Data Engineer - GCP, BigQuery & Medallion in London
Some tips for your application 🫡
Show Off Your Data Skills:Since you're aiming for a data-science role as a volunteer, make sure your CV highlights any relevant skills like programming languages (Python, R), statistical analysis, or machine learning. If you’ve worked on any data projects, include detailed descriptions to showcase your experience – even if they were for school or personal projects!
Include Relevant Coursework and Certificates:If you’ve taken any courses related to data science or have any certifications, don’t forget to include these in your application! Courses from platforms like Coursera or edX can really boost your credibility, especially if they include hands-on data analysis or machine learning components.
Share Your Passion for Data:In your cover letter, let us know why you’re excited about volunteering in a data-science role. Share your passion for data analysis and how this opportunity aligns with your career aspirations. We're looking for enthusiasm as well as skills!
Keep Your Application Concise and Focused:Volunteer roles can attract many applicants, so make your application concise and relevant. Tailor your CV and cover letter specifically to this role at We Make Change. Focus on your most relevant experiences and how you can contribute to the team without going overboard on length!
How to prepare for a job interview at We Make Change
✨Show Off Your Data Skills
For a data science role, it’s essential to demonstrate your analytical skills. Brush up on core concepts like regression, classification, and clustering algorithms. Be ready to discuss your experience with tools like Python, R, or SQL – maybe even walk us through a mini-project or analysis you've done, showcasing your problem-solving prowess.
✨Brush Up on Data Visualisation
Data science isn't just about crunching numbers; communication is key! Make sure you can explain your findings clearly through data visualisations. Having a portfolio of your visualisations ready will impress the interviewers at We Make Change. Bring along some examples that illustrate not just your technical skills but also your storytelling ability with data.
✨Highlight Your Enthusiasm for Learning
As a volunteer, your willingness to learn and adapt is crucial. Emphasise your passion for data science and any self-directed projects you've undertaken, like participating in competitions on platforms such as Kaggle. This shows that you’re keen to grow in the field and contribute to We Make Change while gaining valuable experience.
✨Be Ready for Hands-On Challenges
Often, interviews in data science can involve live coding or analytical challenges. Don’t be surprised if you're asked to solve a problem on the spot! Practise with sample problems or challenges beforehand so you can keep your cool and demonstrate your thought process clearly—this can really set you apart from other candidates!
