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- Tasks: Build trusted data foundations and support analytical workflows with cutting-edge technology.
- Company: Leading technical consultancy in the UK with a focus on innovation.
- Benefits: Competitive salary, £5,000 for professional development, wellness programs, and hybrid work options.
- Why this job: Join a dynamic team and make a real impact in data engineering.
- Qualifications: Proficient in Python, with experience in Apache Spark and PySpark.
- Other info: Exciting opportunities for career growth in a collaborative environment.
The predicted salary is between 50000 - 60000 £ per year.
A leading technical consultancy in the UK is seeking a Data Engineer to contribute to developing a robust data foundation that supports new analytical workflows. The role involves establishing data integrations, conducting ETL activities, and collaborating with SMEs on data models.
Ideal candidates will be proficient in Python, including experience with Apache Spark and PySpark.
The position offers a base salary of £50,000-£60,000, a £5,000 annual professional development budget, wellness programs, and hybrid working arrangements.
Data Engineer — Hybrid Work, Build Trusted Data Foundations employer: Hexegic
Contact Detail:
Hexegic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer — Hybrid Work, Build Trusted Data Foundations
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a new role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, Apache Spark, and ETL processes. 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 data engineering questions and scenarios. Practice explaining your thought process when tackling data integrations and collaborating with SMEs, as this will demonstrate your expertise.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Engineer — Hybrid Work, Build Trusted Data Foundations
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Apache Spark, and PySpark. 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 building trusted data foundations and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Collaboration Skills: Since this role involves working with SMEs on data models, highlight any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action, so share those stories!
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. Plus, we can’t wait to hear from you!
How to prepare for a job interview at Hexegic
✨Know Your Tech Stack
Make sure you brush up on your Python skills, especially with Apache Spark and PySpark. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding of the tools they'll expect you to use.
✨Understand Data Integration
Familiarise yourself with data integration concepts and ETL processes. Prepare to explain how you've established data integrations in previous roles, and think about specific challenges you faced and how you overcame them. This will demonstrate your problem-solving skills.
✨Collaborate Like a Pro
Since the role involves working with Subject Matter Experts (SMEs), be prepared to discuss your experience collaborating with others. Think of examples where you’ve worked in a team to develop data models or workflows, and highlight your communication skills.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data strategy and the specific projects you might be working on. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
