At a Glance
- Tasks: Build and maintain data pipelines using Python and SQL for operational reporting.
- Company: Dynamic tech-driven organisation focused on data reliability and inclusion.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Emphasis on diversity and inclusion in a collaborative environment.
- Why this job: Join a committed team and make an impact on crucial business decisions.
- Qualifications: Strong skills in Python, SQL, and experience with ETL/ELT pipelines.
The predicted salary is between 28800 - 48000 £ per year.
A dynamic tech-driven organization in the UK is seeking a Junior Software Developer to work on data integration and pipeline engineering. The ideal candidate will have strong skills in Python and SQL, and experience building ETL/ELT pipelines. This hybrid role entails building and maintaining reliable data systems that support operational reporting and analytical needs. Join a committed team where data reliability drives crucial business decisions, with an emphasis on diversity and inclusion.
Junior Data Pipeline Developer (ETL/SQL, Python) employer: Smedley Group
Join a dynamic tech-driven organisation in the UK that prioritises innovation and collaboration, offering a vibrant work culture where diversity and inclusion are at the forefront. As a Junior Data Pipeline Developer, you will benefit from extensive growth opportunities, mentorship from experienced professionals, and the chance to contribute to impactful data solutions that drive business success. Enjoy a hybrid working model that promotes work-life balance while being part of a committed team dedicated to data reliability.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Pipeline Developer (ETL/SQL, Python)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Junior Data Pipeline Developer role.
✨Tip Number 2
Show off your skills! Create a GitHub repository showcasing your Python and SQL projects, especially any ETL/ELT pipelines you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common technical questions related to data integration and pipeline engineering. We recommend practicing coding challenges and explaining your thought process clearly, as this will impress interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Junior Data Pipeline Developer (ETL/SQL, Python)
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python and SQL skills in your application. We want to see how you've used these tools in past projects, especially if you've built any ETL/ELT pipelines!
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the job description. We love seeing candidates who understand what we do and how they can contribute.
Be Yourself:We value diversity and inclusion, so don’t be afraid to let your personality shine through in your application. Share your unique experiences and perspectives that make you a great fit for our team!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It’s the easiest way for us to keep track of your application and ensures it lands in the right hands!
How to prepare for a job interview at Smedley Group
✨Know Your Tech
Brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with ETL/ELT pipelines, as they’ll likely ask you to explain how you've built or maintained data systems in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data integration or pipeline engineering. Highlight how you approached these problems and the solutions you implemented, as this will demonstrate your analytical thinking.
✨Understand the Company Culture
Research the organisation’s commitment to diversity and inclusion. Be prepared to discuss how you can contribute to a positive team environment and support their values, as cultural fit is often just as important as technical skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the role and the team. Inquire about the tools they use for data reliability and how they measure success in their data systems. This shows your genuine interest in the position and helps you assess if it’s the right fit for you.
