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For Companies At a Glance
- Tasks: Design and optimise ETL/ELT processes while ensuring data quality and governance.
- Company: Join a leading firm in London focused on innovative data solutions.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Why this job: Be a key player in shaping data architecture and collaborate with talented teams.
- Qualifications: 5+ years in data engineering with expertise in ETL tools and strong communication skills.
- Other info: This is a hands-on role perfect for passionate data experts.
The predicted salary is between 48000 - 72000 £ per year.
We are seeking a seasoned Data Warehouse, ETL & Data Modelling Specialist to join our client in London. This SME-level role involves designing and maintaining scalable ETL/ELT pipelines, ensuring data quality, and developing logical and conceptual data models. You’ll be a key liaison between development teams and data storage, enforcing governance and quality standards.
Key Responsibilities
- Design and optimize ETL/ELT processes
- Ensure data integrity, accuracy, and governance
- Develop data models supporting business needs
- Collaborate with developers, analysts, and architects
- Conduct peer code reviews and ensure best practices
Requirements
- 5+ years in data engineering/warehousing
- Expertise in ETL tools (SQL, Python, dbt, etc.)
- Strong data modelling and governance skills
- Solid relational database experience
- Excellent communication and stakeholder management skills
This is a hands-on role for a data expert passionate about quality and architecture.
Data Warehouse Consultant employer: NDK Cyber
Contact Detail:
NDK Cyber Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Warehouse Consultant
✨Tip Number 1
Familiarise yourself with the latest ETL tools and technologies, especially SQL, Python, and dbt. Being well-versed in these tools will not only boost your confidence but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the data engineering and warehousing community. Attend meetups or webinars focused on data modelling and governance to connect with potential colleagues and learn about industry best practices.
✨Tip Number 3
Prepare to discuss your previous projects in detail, particularly those involving ETL/ELT processes and data modelling. Highlight specific challenges you faced and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Brush up on your communication and stakeholder management skills. As a consultant, you'll need to effectively liaise between technical teams and business stakeholders, so practice articulating complex data concepts in simple terms.
We think you need these skills to ace Data Warehouse Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and warehousing. Focus on your expertise with ETL tools like SQL, Python, and dbt, and include specific examples of projects where you've designed and optimised ETL/ELT processes.
Craft a Compelling Cover Letter: In your cover letter, emphasise your passion for data quality and architecture. Discuss how your 5+ years of experience align with the role's requirements and mention your ability to collaborate effectively with development teams and stakeholders.
Showcase Your Technical Skills: Include a section in your application that specifically lists your technical skills related to data modelling and governance. Highlight any relevant certifications or training that demonstrate your expertise in relational databases and data integrity.
Prepare for Potential Questions: Think about common interview questions related to data warehousing and ETL processes. Be ready to discuss your approach to ensuring data quality and governance, as well as your experience conducting peer code reviews and implementing best practices.
How to prepare for a job interview at NDK Cyber
✨Showcase Your Technical Skills
Be prepared to discuss your experience with ETL tools like SQL, Python, and dbt. Bring examples of past projects where you designed and optimised ETL/ELT processes, as this will demonstrate your hands-on expertise.
✨Emphasise Data Governance Knowledge
Since the role involves enforcing governance and quality standards, be ready to explain your understanding of data integrity and accuracy. Share specific instances where you've implemented data governance practices in previous roles.
✨Prepare for Collaboration Questions
As a key liaison between teams, it's crucial to highlight your communication and stakeholder management skills. Think of examples where you've successfully collaborated with developers, analysts, or architects to achieve project goals.
✨Discuss Your Problem-Solving Approach
In a hands-on role, showcasing your problem-solving abilities is essential. Prepare to discuss challenges you've faced in data modelling or pipeline design and how you overcame them, demonstrating your analytical thinking.
