At a Glance
- Tasks: Join a dynamic team as a Big Data Consultant, tackling exciting projects in the banking sector.
- Company: Work with a leading banking client in Brussels, known for innovation and growth.
- Benefits: Enjoy a 6-month contract with potential for extension and opportunities for professional development.
- Why this job: This role offers hands-on experience with cutting-edge technologies and a chance to make an impact.
- Qualifications: 5+ years of experience with Flink/Kafka and a strong background in big data technologies required.
- Other info: Start date is early September; apply now to be part of this exciting journey!
The predicted salary is between 48000 - 72000 £ per year.
Experienced Big Data Consultant to join a large banking client in Brussels. Early September start for 6 months with possible extension. Requirements: 5 years + experience and practical knowledge of Flink/Kafka Hands-on experience in big data stack – Hortonworks and technologies/languages like Hive, ELK, Cassandra, Python Profound knowledge of SQL (writing complex SQL queries, performance-tuning) Knowledge of DWH data modeling (i.e. Kimball or Inmon) Please apply for further details. We look forward to your CV. #J-18808-Ljbffr
Big Data Consultant employer: Endeavour Recruitment Solutions
Contact Detail:
Endeavour Recruitment Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Consultant
✨Tip Number 1
Make sure to highlight your hands-on experience with the big data stack, especially with Hortonworks and technologies like Hive and ELK. Be ready to discuss specific projects where you utilized these tools.
✨Tip Number 2
Since the role requires knowledge of Flink and Kafka, brush up on your understanding of these technologies. Consider preparing a brief overview of how you've used them in past projects or how they can be applied in a banking context.
✨Tip Number 3
Prepare to demonstrate your SQL skills during the interview. Think of complex queries you've written and be ready to explain your approach to performance tuning.
✨Tip Number 4
Familiarize yourself with DWH data modeling concepts, particularly Kimball and Inmon. Being able to discuss these methodologies will show your depth of knowledge and how it applies to the role.
We think you need these skills to ace Big Data Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure to customize your CV to highlight your 5+ years of experience in big data consulting. Emphasize your hands-on experience with Flink, Kafka, and the big data stack, including Hortonworks.
Showcase Technical Skills: Clearly list your technical skills related to SQL, Hive, ELK, Cassandra, and Python. Provide specific examples of complex SQL queries you've written and any performance-tuning you've accomplished.
Highlight Data Modeling Knowledge: Mention your knowledge of DWH data modeling techniques, such as Kimball or Inmon. If you have practical experience applying these methodologies, be sure to include that in your application.
Craft a Compelling Cover Letter: Write a cover letter that explains why you're a great fit for this role. Discuss your relevant experience and how it aligns with the needs of the banking client in Brussels. Make it personal and engaging!
How to prepare for a job interview at Endeavour Recruitment Solutions
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Flink, Kafka, and the big data stack. Highlight specific projects where you utilized these technologies and be ready to answer technical questions that demonstrate your proficiency.
✨Demonstrate SQL Skills
Since profound knowledge of SQL is crucial, practice writing complex SQL queries beforehand. Be ready to explain your thought process in performance-tuning and how you've optimized queries in past projects.
✨Discuss Data Warehousing Knowledge
Familiarize yourself with DWH data modeling concepts, particularly Kimball and Inmon methodologies. Be prepared to discuss how you've applied these models in your previous roles and the impact they had on data management.
✨Prepare for Behavioral Questions
Expect questions about teamwork, problem-solving, and project management. Use the STAR method (Situation, Task, Action, Result) to structure your responses and provide concrete examples from your experience.