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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.
- Other info: Enjoy 25 days of annual leave and opportunities for UK security clearance.
- 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.
The predicted salary is between 50000 - 60000 £ per year.
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 £50,000-£60,000
- £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! Prepare a mini-project or a portfolio showcasing your data engineering prowess, especially with Python and Apache Spark. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on common data engineering interview questions and scenarios. We recommend doing mock interviews with friends or using online platforms to build your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining the Hexegic team.
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 data analytics software. We want to see how your skills align with the role of a Data Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for what we do at Hexegic.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. We’re looking for someone who can scope new integrations and translate user requirements into technical specs, so let us know how you’ve done this before!
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
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 about any challenges you faced and how you overcame them.
✨Collaboration is Key
This role involves working closely with Subject Matter Experts (SMEs). Be ready to share examples of how you've collaborated with others to create, test, and validate data models. Highlight your communication skills and how you ensure everyone is on the same page.
✨Show Your Problem-Solving Skills
Data health and monitoring are essential for this position. Think of a time when you identified a data issue and how you resolved it. This will demonstrate your analytical thinking and ability to maintain a robust data foundation.