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- Tasks: Join a dynamic team to handle and optimise massive data sets daily.
- Company: Work with a leading search marketing company serving top brands like Adidas and Louis Vuitton.
- Benefits: Enjoy fully remote work options and the chance to collaborate with industry leaders.
- Why this job: Be part of an innovative environment that values passion for data and teamwork.
- Qualifications: 4+ years experience in Scala, Spark, and Java; STEM degree or equivalent required.
- Other info: This role is UK-based and requires an EU work permit.
The predicted salary is between 48000 - 84000 £ per year.
Location: Fully Remote (UK Based)
About Us: This growing search marketing company works with a range of multi-billion dollar companies such as Adidas and Louis Vuitton and are looking to bring in a Data Engineer, to support their growing team. In this role, you will handle over a trillion data points daily and they are seeking a passionate Data Engineer to join their innovative and dynamic team.
Responsibilities:
- Collaborate with various squads within the data team on project-based work.
- Develop and optimize data models, warehouse solutions, and ETL processes.
- Work with Scala, Spark, and Java to handle large-scale data processing.
- Contribute to manual Databricks-like data processing solutions.
Requirements:
- Minimum of 4 years of experience with Scala, Spark, and Java.
- Strong technical skills and a passion for working with data.
- A STEM degree or equivalent experience.
- Experience with data modeling and data warehouse solutions.
Scala Senior Data Engineer employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Scala Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the latest trends and technologies in Scala, Spark, and Java. Join online forums or communities where data engineers discuss their projects and challenges. This will not only enhance your knowledge but also help you network with professionals in the field.
✨Tip Number 2
Showcase your experience with large-scale data processing by working on personal or open-source projects. Document these projects on platforms like GitHub to demonstrate your skills and passion for data engineering, making your profile more attractive to potential employers.
✨Tip Number 3
Prepare for technical interviews by practising common data engineering problems and scenarios related to ETL processes and data modelling. Use platforms like LeetCode or HackerRank to sharpen your problem-solving skills, which are crucial for this role.
✨Tip Number 4
Connect with current employees of the company on LinkedIn to gain insights into their work culture and expectations. This can provide you with valuable information that you can use during interviews to show your genuine interest in the company and its projects.
We think you need these skills to ace Scala Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Scala, Spark, and Java. Include specific projects or roles where you've handled large-scale data processing to demonstrate your technical skills.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and how your background aligns with the company's needs. Mention your experience with data models and ETL processes, and why you want to work with a company that collaborates with big brands like Adidas and Louis Vuitton.
Showcase Relevant Projects: If you have worked on any relevant projects, either professionally or personally, be sure to include them in your application. Highlight your role, the technologies used, and the impact of your work on data processing or analysis.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Scala, Spark, and Java in detail. Highlight specific projects where you've successfully implemented these technologies, as this will demonstrate your capability to handle large-scale data processing.
✨Understand the Company’s Data Needs
Research the company and its clients, like Adidas and Louis Vuitton. Understanding their data requirements and how your role as a Data Engineer can support their goals will show your enthusiasm and alignment with their mission.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving skills. Practice explaining your thought process clearly and concisely, as this will help interviewers gauge your analytical abilities and approach to data challenges.
✨Demonstrate Collaboration Skills
Since the role involves working with various squads within the data team, be ready to discuss your experience in collaborative environments. Share examples of how you’ve effectively communicated and worked with others to achieve project goals.
