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- Tasks: Enhance and maintain a cloud-based data warehouse while building data pipelines.
- Company: Join a dynamic media company with a focus on innovation.
- Benefits: Fully remote work, flexible hours, and competitive freelance rates.
- Other info: Collaborative environment with opportunities to work on exciting projects.
- Why this job: Make an impact by scaling data infrastructure and improving pipeline reliability.
- Qualifications: 5+ years in data engineering with strong Python skills and experience in data modelling.
The predicted salary is between 50000 - 60000 £ per year.
YunoJuno has partnered with a Media Company who are looking to hire a freelance Data Engineer for an upcoming 6 month contract.
We're looking for an experienced freelance Data Engineer to join our team on a 6-month contract. You'll be working directly on enhancing and maintaining the cloud-based data warehouse, helping us scale our data infrastructure, improve pipeline reliability, and expand our data collection capabilities.
- Enhance and maintain the existing GCP-based data warehouse, including schema design, performance tuning, and cost optimization.
- Build and manage data pipelines using Apache Airflow and Python.
- Integrate new data sources, including social media APIs and web crawling pipelines.
- Collaborate with engineering and product teams to support data needs across the organization.
- Ensure data quality, reliability, and documentation across all pipelines.
- Support event-level data collection and tracking infrastructure.
Requirements:
- 5+ years of data engineering experience.
- Strong Python development skills for ETL/ELT pipeline development.
- Experience with data modeling, warehousing best practices, and query optimization.
- Experience with web crawling and scraping at scale.
- Familiarity with event-level data collection platforms such as Rudderstack or Segment.
- JavaScript, Node.js/Express, and React development experience.
Duration: 6 month freelance contract. Fully remote.
Senior Engineer, Data Engineering employer: YunoJuno
Contact Detail:
YunoJuno Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for freelance gigs. You never know who might have a lead or can refer you to someone looking for your skills.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving GCP, Apache Airflow, and Python. This will give potential clients a taste of what you can do and help you stand out from the crowd.
✨Tip Number 3
Stay active on platforms like LinkedIn and Twitter/X. Share insights about data engineering trends, engage with relevant content, and connect with companies that interest you. This can open doors to opportunities you might not find elsewhere.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of freelance opportunities waiting for talented data engineers like you. It’s a great way to get noticed and land that perfect contract.
We think you need these skills to ace Senior Engineer, Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with GCP and Python. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this freelance role. Share specific examples of how you've enhanced data warehouses or built pipelines in the past.
Showcase Your Technical Skills: Don’t forget to mention your experience with tools like Apache Airflow and any web scraping techniques you've used. We love seeing candidates who can demonstrate their technical prowess clearly and confidently.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at YunoJuno
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially GCP, Apache Airflow, and Python. Brush up on your ETL/ELT pipeline development skills and be ready to discuss specific projects where you've used these tools.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data engineering. Think about times when you improved pipeline reliability or optimised costs in a data warehouse. Real-world scenarios will demonstrate your expertise and thought process.
✨Understand the Business Context
Research the media company you'll be working with. Understand their data needs and how your role as a Data Engineer fits into their overall strategy. This knowledge will help you tailor your answers and show that you're genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, project goals, and data challenges they face. This not only shows your enthusiasm but also helps you gauge if the role is the right fit for you. Plus, it demonstrates your collaborative spirit, which is key in remote work.