At a Glance
- Tasks: Build and scale QA/testing capabilities for complex ETL pipelines.
- Company: Gazelle Global, a leader in pharma data solutions.
- Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
- Other info: Exciting opportunity to work with cutting-edge tools like Databricks.
- Why this job: Join a modern data environment and make a real impact on data reliability.
- Qualifications: Strong ETL/ELT experience, advanced SQL, Python skills, and CI/CD knowledge.
The predicted salary is between 50000 - 65000 € per year.
Gazelle Global is seeking a Data Engineer to build and scale QA/testing capabilities across complex ETL pipelines in Greater London. In this hands-on role, you will own the automation strategy, enhance data reliability, and integrate testing into CI/CD pipelines.
Required skills include:
- Strong ETL/ELT experience
- Advanced SQL
- Python skills
- Knowledge of CI/CD processes using GitHub Actions
The position offers the chance to work within a modern data environment, utilizing tools like Databricks.
Data Engineer & QA — Pharma Data Pipelines & Automation in London employer: Gazelle Global
Gazelle Global is an excellent employer that fosters a dynamic work culture in Greater London, where innovation and collaboration thrive. Employees benefit from a supportive environment that prioritises professional growth through continuous learning opportunities and exposure to cutting-edge technologies like Databricks. With a focus on automation and data reliability, this role not only offers meaningful challenges but also the chance to make a significant impact within the pharmaceutical sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer & QA — Pharma Data Pipelines & Automation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines, automation projects, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with CI/CD processes and how you've tackled challenges in past projects. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Engineer & QA — Pharma Data Pipelines & Automation in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your ETL/ELT experience and showcases your advanced SQL and Python skills. We want to see how your background aligns with the role, so don’t be shy about tailoring it to fit!
Showcase Your Projects:If you've worked on any relevant projects, especially those involving CI/CD processes or automation strategies, make sure to mention them. We love seeing practical examples of your work that demonstrate your capabilities.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our team. We appreciate a personal touch, so let your personality come through.
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/ELT Inside Out
Make sure you brush up on your ETL and ELT processes before the interview. Be ready to discuss specific projects where you've implemented these techniques, as well as any challenges you faced and how you overcame them.
✨Show Off Your SQL Skills
Prepare to demonstrate your advanced SQL knowledge. You might be asked to solve a problem on the spot, so practice writing queries that involve complex joins, aggregations, and subqueries. Being able to explain your thought process will impress the interviewers.
✨Get Familiar with CI/CD Pipelines
Since this role involves integrating testing into CI/CD pipelines, make sure you understand how GitHub Actions work. Be ready to discuss how you've used CI/CD in past projects and how it improved your workflow or data reliability.
✨Embrace the Modern Data Environment
Familiarise yourself with tools like Databricks and any other modern data technologies mentioned in the job description. Showing that you're not just technically skilled but also adaptable to new tools will set you apart from other candidates.
