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- Tasks: Build robust data foundations and establish new data integrations.
- Company: Leading technical consultancy in the UK with a focus on innovation.
- Benefits: Competitive salary, professional development budget, wellness programs, and 25 days annual leave.
- Why this job: Join a dynamic team and make an impact in data engineering.
- Qualifications: Proficiency in Python and experience with Apache Spark required.
- Other info: Enjoy hybrid working arrangements and excellent career growth opportunities.
The predicted salary is between 70000 - 80000 £ per year.
A leading technical consultancy in the UK is searching for a Data Engineer to develop a robust data foundation. You will establish new data integrations, conduct ETL activities, and collaborate to validate data outputs.
The ideal candidate has strong proficiency in Python and experience with Apache Spark.
Offering a base salary range of £70,000 to £80,000, a professional development budget, wellness programs, and 25 days of annual leave. This role supports hybrid working arrangements.
Data Engineer: Build Robust Data Foundations Hybrid employer: Hexegic
Contact Detail:
Hexegic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Robust Data Foundations Hybrid
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio showcasing your Python and Apache Spark expertise. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get together with friends or fellow job seekers for mock interviews. It’s a great way to boost our confidence and refine our answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed and shows us you’re serious about joining the team.
We think you need these skills to ace Data Engineer: Build Robust Data Foundations Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python and Apache Spark. 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 you can contribute to building robust data foundations at StudySmarter. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially related to data integrations and ETL activities. We love seeing how you approach problems and find solutions!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Hexegic
✨Know Your Tech Stack
Make sure you brush up on your Python and Apache Spark skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Understand ETL Processes
Since the role involves conducting ETL activities, be prepared to explain your understanding of the ETL process. Think about examples from your past work where you successfully implemented ETL solutions and how they improved data quality or accessibility.
✨Collaboration is Key
This position requires collaboration to validate data outputs. Be ready to share experiences where you worked with cross-functional teams. Highlight your communication skills and how you ensured everyone was on the same page during projects.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and the tools they use. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals.
