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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 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
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 and might even lead to a referral, which is always a bonus!
✨Tip Number 2
Prepare for the interview by brushing up on your Python and data integration skills. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions.
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data engineering projects, make sure to highlight them during your interview. We love seeing practical examples of your skills in action.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Hexegic.
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 makes the whole process smoother for everyone involved.
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 have a solid grasp of the ETL process. Prepare to explain how you’ve handled data extraction, transformation, and loading in previous roles, and think of examples that highlight your problem-solving skills in this area.
✨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. Think of scenarios where you’ve had to scope new integrations or translate user requirements into technical specifications. Be ready to share these examples to demonstrate your ability to bridge the gap between technical and non-technical stakeholders.