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For Companies At a Glance
- Tasks: Design and maintain data warehouse solutions, optimise ETL pipelines, and create insightful dashboards.
- Company: Join an award-winning company in Newark, Nottinghamshire, focused on data and analytics.
- Benefits: Enjoy hybrid working, paid volunteer days, onsite gym, and a birthday bonus day off.
- Why this job: Be part of a dynamic team, enhance your skills, and contribute to impactful data solutions.
- Qualifications: 2+ years in data warehousing, strong Power BI skills, and proficiency in SQL required.
- Other info: Opportunity for ongoing learning and development in a supportive environment.
Our award-winning client, based in Newark, Nottinghamshire is seeking a highly skilled Data Warehouse Engineer to join their Data and Analytics team. This is a full time, permanent position with the opportunity for hybrid working.
THE ROLE
- Design, develop, and maintain scalable data warehouse architecture and solutions to consolidate data from multiple sources.
- Build and optimize ETL pipelines using modern tools, automation and best practices.
- Develop and maintain dashboards, visualizations, and reports using Power BI.
- Collaborate with business stakeholders to gather requirements, translate them into data solutions, and deliver actionable insights.
- Ensure data integrity, quality, consistency and security across the warehouse and reporting environments.
- Optimize performance of queries and data loads in the warehouse environment.
- Troubleshoot and optimize models, efficient performance and maintain documentation of data models, data flows, and reporting solutions.
- Leverage AI and machine learning tools to enhance reporting capabilities, automate data insights, and drive predictive analytics.
- Participate in data governance and contribute to the continuous improvement of data architecture and standards.
THE CANDIDATE
- 2+ years of experience in data warehousing, ETL development, and business intelligence reporting.
- Strong experience with Power BI, including DAX, Power Query, and dashboard development.
- Proficiency in SQL and data modelling techniques.
- Strong analytical and problem-solving skills with an ability to work in agile development environment independently.
- Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar).
- Ability to work independently and manage multiple projects simultaneously.
- Excellent communication and collaboration skills.
THE BENEFITS
- Paid volunteer day.
- Onsite gym.
- Ongoing learning and development.
- Bonus paid day off for your birthday.
- Annual wellbeing budget.
- Increasing annual leave.
- Company sick pay.
Thank you for your interest in this vacancy and good luck with your application.
If you have not heard from a member of the Future Prospects team within 7 days from your application, please assume that your application has not been successful on this occasion. Unfortunately, due to the high volume of applications we receive, we are unable to provide individual feedback.
The services of Future Prospects are those of an Employment Agency.
Data Warehouse Engineer employer: CV-Library
Contact Detail:
CV-Library Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Warehouse Engineer
✨Tip Number 1
Familiarise yourself with the specific data warehousing tools mentioned in the job description, such as Snowflake or Azure Synapse. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Brush up on your Power BI skills, especially DAX and Power Query. Consider creating a portfolio of dashboards or reports that showcase your ability to turn data into actionable insights, as this will demonstrate your practical knowledge.
✨Tip Number 3
Network with professionals in the data warehousing field, particularly those who work with the technologies listed in the job description. Engaging in relevant online communities or attending local meetups can provide valuable insights and connections.
✨Tip Number 4
Prepare to discuss your problem-solving approach and how you've optimised data processes in previous roles. Be ready to share specific examples that highlight your analytical skills and ability to work independently in an agile environment.
We think you need these skills to ace Data Warehouse Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data warehousing, ETL development, and business intelligence reporting. Use specific examples that demonstrate your skills with Power BI, SQL, and any data warehouse platforms you've worked with.
Craft a Compelling Cover Letter: Write a cover letter that addresses the key responsibilities of the Data Warehouse Engineer role. Explain how your background aligns with their needs, particularly your experience with data architecture, automation, and collaboration with stakeholders.
Showcase Your Technical Skills: In your application, emphasise your technical skills, especially your proficiency in Power BI, DAX, and SQL. Mention any experience you have with AI and machine learning tools, as these are relevant to the role.
Follow Up: After submitting your application through our website, consider sending a polite follow-up email after a week. This shows your enthusiasm for the position and keeps you on their radar.
How to prepare for a job interview at CV-Library
✨Showcase Your Technical Skills
Be prepared to discuss your experience with data warehousing, ETL development, and business intelligence reporting. Highlight specific projects where you've used tools like Power BI, SQL, and any relevant data warehouse platforms.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical and problem-solving skills. Prepare examples of challenges you've faced in previous roles and how you overcame them, particularly in an agile environment.
✨Communicate Effectively
Since collaboration with business stakeholders is key, practice articulating complex technical concepts in a way that's easy for non-technical people to understand. This will show your ability to bridge the gap between data and business needs.
✨Prepare for Scenario-Based Questions
Think about potential scenarios related to data integrity, performance optimisation, and troubleshooting. Be ready to explain your thought process and the steps you would take to address these situations.
