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For Companies At a Glance
- Tasks: Build a solid data foundation and create innovative analytical workflows.
- Company: Join Hexegic, a leading tech consultancy with exciting projects.
- Benefits: Competitive salary, professional development budget, wellness programme, and hybrid work options.
- Why this job: Make an impact in data engineering while growing your career in a dynamic environment.
- Qualifications: Proficient in Python, with experience in Apache Spark and data analytics tools.
- Other info: Enjoy 25 days annual leave and opportunities for UK security clearance.
The predicted salary is between 50000 - 60000 £ per year.
Job Description
As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications.
About us
Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to high performing organisations. The company promises exciting, engaging and rewarding projects for those that are keen to develop and build a successful career.
Core Responsibilities
- Establishing new data integrations within the data foundation
- Conduct ETL activities as conducted by SMEs
- Configuring connections to other datasets within the data foundation
- Collaborate with SMEs to create, test and validate data models and outputs
- Set up monitoring and ensure data health for outputs
What we are looking for
- Proficiency in Python, with experience in Apache Spark and PySpark
- Previous experience with data analytics softwares
- Ability to scope new integrations and translate user requirements into technical specifications
What’s in it for you?
- Base salary of £70,000-£80,000
- £5000 a year professional development budget
- Wellness program
- 25 days annual leave
- Hybrid working arrangements
Please note that successful candidates must be eligible for UK security clearance
Data Engineer employer: Hexegic
Contact Detail:
Hexegic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Hexegic on LinkedIn or other platforms. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, Apache Spark, and PySpark. This will help you stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your ETL processes and data modelling techniques. Practise explaining your thought process clearly, as collaboration with SMEs is key in this role.
✨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 about their job search.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Apache Spark, and any relevant data analytics software. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Engineer position and how your background makes you a perfect fit. Let us know what drives you and how you can contribute to our team.
Showcase Your Projects: If you've worked on any cool projects related to data integrations or ETL activities, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions that highlight your contributions.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
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 ETL Processes
Since you'll be conducting ETL activities, it’s crucial to understand the end-to-end process. Prepare to explain how you’ve handled data extraction, transformation, and loading in previous roles, and think of specific examples that highlight your problem-solving skills.
✨Collaboration is Key
This role involves working closely with Subject Matter Experts (SMEs). Be prepared to discuss how you’ve collaborated with others in the past, particularly in creating and validating data models. Highlight any experiences where teamwork led to successful outcomes.
✨Show Your Analytical Mindset
As a Data Engineer, analytical thinking is vital. Be ready to talk about how you approach scoping new integrations and translating user requirements into technical specifications. Use examples that demonstrate your ability to think critically and solve complex problems.