At a Glance
- Tasks: Build and scale QA/testing capabilities for complex ETL pipelines in a modern data environment.
- Company: Join a forward-thinking pharma company focused on innovation and quality.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with mentorship opportunities and exposure to cutting-edge technologies.
- Why this job: Make a real impact by enhancing data reliability and driving QA standards.
- Qualifications: Strong ETL testing experience and advanced skills in SQL and Python.
The predicted salary is between 50000 - 65000 € per year.
Greenfield opportunity for a hands-on Data Engineer to build and scale QA/testing capability across complex ETL pipelines in a modern data environment. You’ll own the automation strategy, improve data reliability, and work closely with engineering teams delivering business-critical reporting and API outputs.
What you’ll be doing:
- Building scalable ETL/data validation frameworks using Python & Pytest
- Writing advanced SQL checks for reconciliation, integrity & transformation testing
- Automating API testing with Postman & Newman
- Integrating testing into CI/CD pipelines using GitHub Actions
- Working within Databricks and modern cloud-based data environments
- Driving QA standards, mentoring others & improving engineering quality
What’s needed:
- Strong ETL / ELT testing experience
- Advanced SQL & Python automation skills
- Experience across APIs, XML, Excel & data quality validation
- CI/CD knowledge with GitHub Actions
- Exposure to Databricks or similar data platforms
Data Engineer / QA - Pharma Domain employer: Gazelle Global
Join a forward-thinking company that values innovation and collaboration, where as a Data Engineer in the Pharma domain, you will have the opportunity to shape the future of data quality and reliability. Our supportive work culture fosters continuous learning and professional growth, with access to cutting-edge technologies and mentorship from experienced engineers. Located in a vibrant area, we offer a dynamic environment that encourages creativity and teamwork, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer / QA - Pharma Domain
✨Tip Number 1
Network like a pro! Reach out to folks in the pharma and data engineering space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL frameworks, SQL checks, and any automation projects you've worked on. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've tackled QA challenges in the past. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Engineer / QA - Pharma Domain
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with ETL testing and automation. We want to see how your skills in Python, SQL, and CI/CD fit into the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you’re excited about this greenfield opportunity and how your background aligns with our needs in the pharma domain. Keep it engaging and personal.
Showcase Your Technical Skills:When filling out your application, be specific about your technical expertise. Mention your experience with tools like Postman, GitHub Actions, and Databricks. We love seeing candidates who can hit the ground running!
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Gazelle Global
✨Know Your ETL Inside Out
Make sure you brush up on your ETL and ELT testing experience. Be ready to discuss specific projects where you've built or scaled QA/testing capabilities. Highlight any challenges you faced and how you overcame them, as this shows your problem-solving skills.
✨Show Off Your SQL Skills
Prepare to demonstrate your advanced SQL knowledge. You might be asked to write checks for reconciliation or integrity testing on the spot, so practice common queries and be ready to explain your thought process while doing so.
✨Familiarise Yourself with Automation Tools
Since automation is key in this role, make sure you’re comfortable discussing your experience with Python and Pytest. Bring examples of how you've automated testing processes, especially with API testing using Postman and Newman.
✨CI/CD Knowledge is Crucial
Be prepared to talk about your experience with CI/CD pipelines, particularly using GitHub Actions. Think of specific instances where you integrated testing into these pipelines and how it improved the overall quality of the engineering output.
