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- Tasks: As a Data Engineer, you'll manage data pipelines and ensure data security.
- Company: Join a cutting-edge tech company focused on innovative data solutions.
- Benefits: Enjoy flexible work options and a collaborative team environment.
- Why this job: This role offers hands-on experience with complex data challenges and impactful projects.
- Qualifications: Must have active SC clearance and strong skills in data concepts and Python/PySpark.
- Other info: Ideal for problem solvers who thrive in dynamic environments.
The predicted salary is between 48000 - 72000 £ per year.
Must have: Active SC clearance Skills required: Strong understanding of data concepts data types, data structures, schemas (both JSON and Spark), schema management etc Strong understanding of complex JSON manipulation – Experience working with Data Pipelines using a custom Python/PySpark frameworks Strong understanding of the 4 core Data categories (Reference, Master, Transactional, Freeform) and the implications of each, particularly managing/handling Reference Data. Strong understanding of Data Security principles data owners, access controls row and column level, GDPR etc including experience of handling sensitive datasets Strong problem solving and analytical skills, particularly able to demonstrate these intuitively
Data Engineer employer: ALOIS Solutions
Contact Detail:
ALOIS Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Make sure to brush up on your knowledge of data concepts and structures, especially JSON and Spark schemas. Being able to discuss these topics confidently during the interview will show that you have a strong foundation in data engineering.
✨Tip Number 2
Familiarize yourself with the specific data pipelines and frameworks used in the industry, particularly those involving Python and PySpark. If you can share relevant experiences or projects where you've utilized these technologies, it will set you apart from other candidates.
✨Tip Number 3
Understand the implications of the four core data categories: Reference, Master, Transactional, and Freeform. Be prepared to discuss how you have managed reference data in past roles, as this is crucial for the position.
✨Tip Number 4
Since data security is a key aspect of this role, be ready to talk about your experience with data ownership, access controls, and GDPR compliance. Highlight any specific instances where you handled sensitive datasets to demonstrate your understanding of data security principles.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasize your strong understanding of data concepts, data types, and structures in your CV and cover letter. Mention your experience with JSON manipulation and Data Pipelines using Python/PySpark frameworks.
Demonstrate Problem-Solving Abilities: Provide specific examples in your application that showcase your problem-solving and analytical skills. Use scenarios where you successfully managed complex data challenges or improved data processes.
Address Data Security Knowledge: Clearly outline your understanding of data security principles, including GDPR compliance and access controls. Mention any relevant experiences handling sensitive datasets to strengthen your application.
Tailor Your Application: Customize your CV and cover letter to reflect the job description closely. Use keywords from the job listing, such as 'Reference Data' and 'schema management', to ensure your application stands out.
How to prepare for a job interview at ALOIS Solutions
✨Showcase Your Data Knowledge
Be prepared to discuss your understanding of data concepts, types, and structures. Highlight your experience with JSON and Spark schemas, and be ready to explain how you've managed schema changes in past projects.
✨Demonstrate Your Python/PySpark Skills
Since experience with custom Python/PySpark frameworks is crucial, come equipped with examples of data pipelines you've built. Be ready to walk through the challenges you faced and how you overcame them.
✨Discuss Data Security Principles
Understanding data security is key for this role. Prepare to talk about your experience with access controls, GDPR compliance, and how you've handled sensitive datasets in previous positions.
✨Problem Solving Approach
Expect to face scenario-based questions that test your analytical skills. Think of specific instances where you solved complex problems and be ready to explain your thought process and the outcomes.
