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, 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.
The predicted salary is between 40000 - 50000 € 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
Start: ASAP
Duration: 6 month freelance contract
Fully remote
Ingegnere dei dati (f/m) employer: YunoJuno
YunoJuno is an exceptional employer that values flexibility and innovation, offering a fully remote work environment that allows you to thrive from anywhere. As a freelance Data Engineer, you'll have the opportunity to work on cutting-edge projects with a dynamic media company, enhancing your skills while contributing to impactful data solutions. With a strong focus on collaboration and professional growth, YunoJuno fosters a culture where your expertise is recognised and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m)
✨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 opportunities. You never know who might have a lead or can refer you to someone looking for a Data Engineer.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Apache Airflow, and cloud-based data warehousing. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your skills and interests. Tailor your approach to each company, highlighting how your experience aligns with their needs.
✨Tip Number 4
Prepare for interviews by brushing up on common data engineering questions and scenarios. Be ready to discuss your experience with data pipelines, schema design, and any tools you've used. Confidence is key, so practice makes perfect!
We think you need these skills to ace Ingegnere dei dati (f/m)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience as a Data Engineer. We want to see your skills in Python, data warehousing, and pipeline development shine through!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of your past work that align with our needs, especially around GCP and data pipelines.
Showcase Your Projects:If you've worked on any cool projects involving data engineering, don't hold back! Include links or descriptions of your work, especially if it involves social media APIs or web crawling.
Apply Through Our Website:We encourage you to apply directly through our website. It makes it easier for us to review 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 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. Whether it’s optimising a data warehouse or improving pipeline reliability, having concrete examples will demonstrate your expertise and thought process.
✨Understand Data Quality and Documentation
Be ready to discuss how you ensure data quality and maintain documentation across pipelines. This is crucial for collaboration with engineering and product teams, so highlight any best practices you follow.
✨Familiarise Yourself with Event-Level Data Collection
Since the role involves event-level data collection, make sure you understand platforms like Rudderstack or Segment. Being able to talk about your experience with these tools will show that you’re prepared for the specific needs of the role.
