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- Tasks: Support and enhance the Databricks platform while developing high-quality ETL pipelines.
- Company: Leading consultancy with a focus on data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in data management and sustainability.
- Qualifications: Strong experience in Python, SQL, and ETL design; Azure Data Factory and GitHub skills are a plus.
- Other info: Exciting opportunity for career advancement in a collaborative environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading consultancy is looking for an experienced Data Analyst to join their Data and Commissioning Team in the UK. Your role will involve supporting the sustainability of their Databricks platform, developing high-quality ETL pipelines, and ensuring compliance through effective data management.
Strong experience in Python, SQL, and ETL design is essential. If you're skilled in Azure Data Factory and GitHub, apply today for this exciting opportunity.
Data Engineer: Lakehouse, ETL & Python Automation employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Lakehouse, ETL & Python Automation
✨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.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your ETL pipelines and Python projects. 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 data management knowledge. Practice common interview questions related to data engineering and be ready to discuss your experience with Azure Data Factory and GitHub.
✨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 hearing from passionate candidates like you!
We think you need these skills to ace Data Engineer: Lakehouse, ETL & Python Automation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and ETL design. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Keep it engaging and personal.
Showcase Your Technical Skills: Since we’re looking for someone experienced in Azure Data Factory and GitHub, make sure to mention any specific projects or experiences that demonstrate your proficiency with these tools. We love seeing real-world applications!
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 this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Lorien
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and ETL design skills. Be ready to discuss specific projects where you've implemented these technologies, especially in relation to Databricks and Azure Data Factory.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data management or pipeline development. Think about times when you had to ensure compliance or improve efficiency—these stories will resonate well with the interviewers.
✨Familiarise Yourself with GitHub
Since experience with GitHub is a must, be prepared to talk about how you've used it in past projects. Discuss your workflow, collaboration with team members, and any best practices you follow to manage code effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the consultancy's approach to data sustainability and their use of the Databricks platform. This shows your genuine interest and helps you gauge if it's the right fit for you.
