At a Glance
- Tasks: Design and deliver end-to-end data solutions using modern tools.
- Company: Join a growing, collaborative team in a supportive environment.
- Benefits: Earn up to £56k with a great benefits package and hybrid working.
- Other info: Enjoy a growth-focused culture with excellent career development opportunities.
- Why this job: Level up your skills with Databricks and Apache Spark in a dynamic role.
- Qualifications: 5 years of data engineering experience and strong SQL, Python skills.
The predicted salary is between 56000 - 56000 £ per year.
We’re looking for a Data Engineer to join a growing, collaborative team in London. If you’ve got a couple of years under your belt and want to level up working with modern data tools, this could be a great move.
Role: Data Engineer
Location: London (3 days a week in the office)
Salary: Up to £56,000 + great benefits
Requirements:
- About 5 years’ experience in data engineering
- Strong hands‑on experience with Databricks and Apache Spark
- Solid skills in SQL, Python, and PySpark
- Experience with data modelling, Hive, and ETL
- Familiarity with big data tools like Hadoop and Kafka
- Good understanding of data warehousing and ETL methodologies
- Strong analytical mindset with problem‑solving skills
- Ability to design and deliver end‑to‑end data solutions
Benefits:
- Salary up to £56k
- Standard Infinigate benefits package
- Hybrid working (3 days onsite)
- Supportive, growth‑focused environment
Databricks Engineer employer: Careerwise Uk
Join a dynamic and supportive team in London as a Databricks Engineer, where you'll have the opportunity to work with cutting-edge data tools in a hybrid working environment. With a strong focus on employee growth and collaboration, we offer a competitive salary of up to £56,000 along with a comprehensive benefits package, making it an ideal place for professionals looking to advance their careers in data engineering.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Databricks and Apache Spark. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with SQL, Python, and PySpark. This is your chance to demonstrate your hands-on experience and problem-solving abilities, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data modelling, ETL processes, and big data tools like Hadoop and Kafka. We recommend practising common interview questions and scenarios related to data solutions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a range of opportunities that could be perfect for you. Plus, it’s a great way to ensure your application gets seen by the right people in our supportive, growth-focused environment.
We think you need these skills to ace Databricks Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Databricks, Apache Spark, and the other tools mentioned in the job description. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about this role and how you can contribute to our team. Share specific examples of your past work that relate to data engineering and problem-solving.
Show Off Your Projects:If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We love seeing practical applications of your skills!
Apply Through Our Website:For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures your details are in the right hands!
How to prepare for a job interview at Careerwise Uk
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks and Apache Spark knowledge. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Show Off Your SQL and Python Skills
Prepare to demonstrate your SQL and Python prowess. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarity with PySpark will also give you an edge!
✨Understand Data Modelling and ETL Processes
Be prepared to talk about your experience with data modelling, Hive, and ETL methodologies. Think of examples where you've designed end-to-end data solutions and be ready to explain your thought process.
✨Bring Your Analytical Mindset
Employers love a strong analytical mindset! Prepare to discuss how you've approached problem-solving in past roles. Use specific examples to illustrate your ability to tackle complex data challenges.
