At a Glance
- 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, competitive daily rate, and flexible hours.
- Other info: Exciting opportunity to work with cutting-edge technologies in a collaborative environment.
- Why this job: Make an impact by scaling data infrastructure and improving pipeline reliability.
- Qualifications: 5+ years of data engineering experience and strong GCP skills.
The predicted salary is between 60000 - 65000 € 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.
Responsibilities- 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
- 5+ years of data engineering experience
- Strong hands-on experience with Google Cloud Platform (GCP), specifically BigQuery
- Proficiency with Apache Airflow for pipeline orchestration
- 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
- Experience integrating social media APIs (e.g., Twitter/X, LinkedIn, Meta) for data pipeline creation
- Familiarity with event-level data collection platforms such as Rudderstack or Segment
- JavaScript, Node.js/Express, and React development experience
Start date: ASAP
Duration: 6 month freelance contract
Rate: £250 per day
Location: Fully remote
Locations
Data Engineer in Cheshire, Warrington employer: YunoJuno
YunoJuno offers an exceptional freelance opportunity for Data Engineers, providing the flexibility of a fully remote role that allows you to work from anywhere. With a focus on enhancing cloud-based data infrastructure, you'll be part of a collaborative culture that values innovation and professional growth, ensuring you can expand your skills while contributing to impactful projects in the media sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry and let them know you're on the lookout for freelance Data Engineer gigs. You never know who might have the inside scoop on an opportunity.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving GCP and Apache Airflow. This will give potential clients a taste of what you can bring to the table.
✨Tip Number 3
Stay active on job boards and platforms like YunoJuno. Regularly check for new postings and apply as soon as you see something that fits your skill set. The early bird catches the worm!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer in Cheshire, Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with GCP, Apache Airflow, 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 Data Engineer role. Share specific examples of how you've enhanced data infrastructures or improved pipeline reliability in the past.
Showcase Your Projects:If you've worked on any cool data projects, make sure to mention them! Whether it's integrating social media APIs or building data pipelines, we love seeing real-world applications of your skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates!
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 Google Cloud Platform and Apache Airflow. Brush up on your Python skills too, as you'll likely be asked to discuss your experience with ETL/ELT processes.
✨Showcase Your Projects
Prepare to talk about specific projects where you've enhanced data warehouses or built data pipelines. Highlight your role, the challenges you faced, and how you overcame them. Real-world examples will make your experience more relatable and impressive.
✨Understand the Company’s Data Needs
Research the media company and understand their data requirements. Think about how your skills can help them scale their data infrastructure and improve pipeline reliability. This shows that you’re not just looking for a job, but are genuinely interested in contributing to their success.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. Inquire about their current data challenges or future projects. This demonstrates your enthusiasm for the role and helps you gauge if the company is the right fit for you.
