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- Tasks: Support the development of a Databricks-based lakehouse architecture in a data-driven organisation.
- Company: Join a forward-thinking company focused on modern cloud-native data solutions.
- Benefits: Work on real-world challenges with opportunities for growth and collaboration.
- Why this job: Tackle large-scale data engineering problems and enhance your skills in a supportive environment.
- Qualifications: Experience with data warehousing, Databricks, SQL, and Python is essential.
- Other info: Long-term projects with a focus on continuous platform development.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for a Data Engineer to support the development and ongoing evolution of a Databricks-based lakehouse architecture within a data-driven organisation.
Technical Skills
- Experience with data warehousing, data lakes, and data modelling
- Hands-on experience using Databricks for scalable data processing
- Experience with Azure SQL or similar cloud-based data storage solutions
- Strong proficiency in SQL and Python
- Experience with modern data pipeline and transformation tools such as dbt
- Experience working in cross-functional engineering teams
Desirable Experience & Qualifications
- Databricks or Azure Data Engineering certifications
- Experience automating data deployment, release, and upgrade processes
What’s On Offer
- Opportunity to work on a modern, cloud-native data platform
- Exposure to large-scale, real-world data engineering challenges
- Collaborative environment with strong data and engineering practices
- Long-term platform development rather than one-off projects
Data Engineer – Databricks & Azure in London employer: Arthur Recruitment
Contact Detail:
Arthur Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – Databricks & Azure in London
✨Tip Number 1
Network like a pro! Reach out to folks in the data engineering field, especially those who work with Databricks and Azure. Join relevant online communities or local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects using Databricks, SQL, and Python. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your experience with data lakes and modern data pipelines, as well as any challenges you've faced and how you overcame them.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented Data Engineers. Keep an eye on our job listings and submit your application directly to increase your chances of landing that dream role.
We think you need these skills to ace Data Engineer – Databricks & Azure in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Azure, and data engineering. We want to see how your skills match the job description, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data engineering and how you can contribute to our Databricks-based lakehouse architecture. Keep it engaging and personal.
Show Off Your Technical Skills: We’re keen on seeing your hands-on experience with SQL, Python, and modern data pipeline tools like dbt. Include specific examples of how you’ve used these technologies in your previous roles.
Apply Through Our Website: To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Arthur Recruitment
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Databricks and Azure. Be ready to discuss your hands-on experience with data warehousing, data lakes, and data modelling. Prepare to share specific examples of how you've used these technologies in past projects.
✨Showcase Your SQL and Python Skills
Since strong proficiency in SQL and Python is crucial for this role, be prepared to demonstrate your skills. You might be asked to solve a problem or write a query on the spot, so practice common SQL queries and Python scripts beforehand.
✨Familiarise Yourself with Modern Data Tools
Get comfortable with modern data pipeline and transformation tools like dbt. Be ready to explain how you've used these tools in your previous roles and how they can benefit the team you're interviewing for.
✨Emphasise Collaboration and Teamwork
This role involves working in cross-functional engineering teams, so highlight your experience collaborating with others. Share examples of how you've successfully worked with different teams to achieve a common goal, showcasing your communication skills and adaptability.
