Find a job 
Featured Companies 
Featured Universities 
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 of annual leave and opportunities for UK security clearance.
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 £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
#J-18808-Ljbffr
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 or former employees at Hexegic on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data engineering projects, especially those involving Python and Apache Spark. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data engineers. We can even do mock interviews with friends to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can tailor our CVs and cover letters to match what Hexegic is looking for.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, Apache Spark, and any relevant data analytics software. We want to see how your skills match what we're looking for!
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 our team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Projects: If you've worked on any cool projects or have a portfolio, make sure to include that in your application. We want to see your practical experience and how you've tackled real-world data challenges.
Apply Through Our Website: Don't forget to apply 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 Inside Out
Make sure you brush up on your Python skills, especially with Apache Spark and PySpark. 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 the Role's Responsibilities
Familiarise yourself with the core responsibilities listed in the job description. Think about how your past experiences align with tasks like ETL activities and data integration. Prepare examples that showcase your ability to create, test, and validate data models.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of data workflows. Practice explaining complex concepts in simple terms, as you may need to collaborate with SMEs who might not have a technical background.
✨Show Enthusiasm for Continuous Learning
Highlight your eagerness to grow and develop within the role. Mention how you plan to utilise the professional development budget and engage with the wellness programme. This shows you're not just looking for a job, but a career with Hexegic.
