Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise ETL/ELT processes while ensuring data integrity and governance.
- Company: Join a leading firm in London focused on data excellence and innovation.
- 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 SQL, Python, and data modelling.
- 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: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Warehouse Consultant
✨Tip Number 1
Familiarise yourself with the specific ETL tools mentioned in the job description, such as SQL, Python, and dbt. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Brush up on your data modelling techniques and governance practices. Being able to discuss your approach to ensuring data integrity and accuracy during interviews will demonstrate your expertise and commitment to quality.
✨Tip Number 3
Prepare examples of past projects where you successfully designed and optimised ETL/ELT processes. Be ready to explain the challenges you faced and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Since this role involves collaboration with various teams, practice articulating your communication style. Think of ways to demonstrate your stakeholder management skills, perhaps by sharing experiences where you effectively liaised between technical and non-technical teams.
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 and Python, and showcase any relevant projects that demonstrate your skills in data modelling and governance.
Craft a Compelling Cover Letter: In your cover letter, explain why you are passionate about data quality and architecture. Mention specific examples of how you've designed and optimised ETL processes in the past, and how you can contribute to the company's goals.
Highlight Communication Skills: Since this role involves collaboration with various teams, emphasise your communication and stakeholder management skills. Provide examples of how you've successfully liaised between development teams and data storage in previous roles.
Showcase Continuous Learning: Mention any recent courses or certifications related to data warehousing or ETL tools. This demonstrates your commitment to staying updated in the field and your enthusiasm for professional growth.
How to prepare for a job interview at Job Traffic
✨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 ensuring data integrity and governance, be ready to explain your approach to maintaining data quality. Discuss any frameworks or methodologies you've used to enforce governance standards in previous roles.
✨Prepare for Collaboration Questions
As a key liaison between teams, expect questions about your collaboration style. Think of specific instances where you worked with developers, analysts, or architects to achieve a common goal, and be ready to share those experiences.
✨Demonstrate Communication Skills
Strong communication is crucial for this role. Practice articulating complex technical concepts in a way that non-technical stakeholders can understand. This will show your ability to bridge the gap between technical and non-technical teams.
