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- Tasks: Design and optimise cloud-native data platforms using Databricks and Apache Spark.
- Company: Leading technology consultancy in the UK with a focus on innovation.
- Benefits: 20 dedicated development days, certifications, and leadership training.
- Why this job: Lead technical delivery and solve real business problems with data solutions.
- Qualifications: Experience in data engineering and proficiency in ETL/ELT pipelines.
- Other info: Diverse and inclusive workplace with excellent career growth opportunities.
The predicted salary is between 48000 - 72000 £ per year.
A leading technology consultancy in the United Kingdom is seeking a Senior Data Engineer to design and optimise cloud-native data platforms. The ideal candidate will lead technical delivery, own scalable ETL/ELT pipelines, and translate business problems into data solutions using Databricks and Apache Spark.
This role offers 20 dedicated development days yearly, certifications, and a leadership-focused training framework, while promoting diversity and inclusion in the workplace.
Senior Databricks Engineer | Cloud Data Platforms employer: Kubrick Group
Contact Detail:
Kubrick Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Databricks Engineer | Cloud Data Platforms
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Databricks and cloud data platforms. 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 ETL/ELT pipelines and any cool stuff you've done with Apache Spark. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to cloud-native data platforms. We recommend practising coding challenges and discussing your past experiences with data solutions to impress the interviewers.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our diverse and inclusive team.
We think you need these skills to ace Senior Databricks Engineer | Cloud Data Platforms
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks and Apache Spark. We want to see how you've designed and optimised cloud-native data platforms, so don’t hold back on those details!
Showcase Your Projects: Include specific examples of scalable ETL/ELT pipelines you've worked on. We love seeing real-world applications of your skills, so share the challenges you faced and how you overcame them.
Be Authentic: Let your personality shine through in your application. We value diversity and inclusion, so don’t be afraid to show us who you are and what makes you unique!
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. It helps us keep track of your application and ensures it gets the attention it deserves!
How to prepare for a job interview at Kubrick Group
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks and Apache Spark knowledge. Be ready to discuss how you've used these tools in past projects, focusing on specific challenges you faced and how you overcame them.
✨Showcase Your ETL/ELT Expertise
Prepare to talk about your experience with scalable ETL/ELT pipelines. Have examples ready that demonstrate your ability to design and optimise these processes, as well as any metrics that showcase your success.
✨Translate Business Needs into Data Solutions
Think of instances where you've successfully translated business problems into data solutions. Be prepared to explain your thought process and how your solutions added value to the business.
✨Emphasise Leadership and Collaboration
Since this role involves leading technical delivery, highlight your leadership experiences. Discuss how you've collaborated with teams and mentored others, showcasing your commitment to diversity and inclusion in the workplace.
