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- Tasks: Manage and enhance a data warehouse while designing a new architecture.
- Company: Birchwell Associates, supporting a client in a growing data function.
- Benefits: Competitive salary, onsite collaboration, and opportunities for professional growth.
- Why this job: Lead innovative data solutions that drive informed decision-making across the business.
- Qualifications: 2+ years in data warehouse roles with strong SQL and data modelling skills.
- Other info: Collaborative environment with a focus on data integrity and performance.
The predicted salary is between 36000 - 60000 £ per year.
Birchwell Associates is recruiting on behalf of a client seeking an experienced Data Warehouse Specialist to join a growing data function based in Benson. This role requires onsite presence at least three days per week. Reporting to senior leadership, the successful candidate will take ownership of an existing data warehouse while leading its evolution, including the design and delivery of a new architecture and the structured management of its migration. Working closely with technical and non-technical stakeholders, you will deliver reliable, high-quality data solutions that support informed decision-making across the business.
Key Responsibilities
- Manage, optimise, and enhance the current data warehouse, ensuring strong data quality, performance, and governance.
- Design and implement a scalable data warehouse architecture, integrating multiple internal and external data sources via APIs and connectors.
- Maintain data integrity, security, and consistency across all reporting and analytics environments.
- Identify and resolve data model and performance issues, producing clear technical documentation.
- Collaborate with business stakeholders to translate requirements into effective data solutions.
- Deliver data initiatives to agreed timelines and standards.
- Support additional data-related projects as required.
Key Requirements
- At least two years experience in data warehouse or database architecture roles, including semantic model or cube development.
- Strong SQL skills with proven experience in data modelling and transformation.
- Ability to analyse complex data and clearly communicate technical concepts to non-technical audiences.
- Experience with Microsoft data platforms, including Azure Fabric.
- Knowledge of DAX, Jet Analytics, or NAV is beneficial but not essential.
Database Engineer in Wallingford employer: Birchwell Associates Ltd
Contact Detail:
Birchwell Associates Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Database Engineer in Wallingford
✨Tip Number 1
Network like a pro! Reach out to your connections in the data field, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those related to data warehousing and SQL. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data warehouse scenarios and challenges. Be ready to discuss how you've tackled similar issues in the past, and don’t forget to highlight your collaboration with both technical and non-technical stakeholders.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're genuinely interested in joining our team and helps us keep track of your application.
We think you need these skills to ace Database Engineer in Wallingford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Database Engineer role. Highlight your experience with data warehouses, SQL skills, and any relevant projects you've worked on. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our team. Be sure to mention your experience with Microsoft data platforms and any specific tools you've used.
Showcase Your Problem-Solving Skills: In your application, don’t forget to include examples of how you've tackled complex data issues in the past. We love seeing candidates who can think critically and communicate technical concepts clearly to non-technical folks.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Birchwell Associates Ltd
✨Know Your Data Warehouse Inside Out
Before the interview, make sure you thoroughly understand the current data warehouse architecture and its components. Brush up on your SQL skills and be ready to discuss how you've optimised or enhanced data warehouses in the past. This will show that you're not just familiar with the role but also passionate about data management.
✨Prepare for Technical Questions
Expect to face technical questions related to data modelling, performance issues, and integration of data sources. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders. Consider using examples from your previous experience to illustrate your points.
✨Showcase Your Collaboration Skills
Since this role involves working closely with both technical and non-technical teams, be prepared to discuss how you've successfully collaborated in the past. Share specific examples of how you translated business requirements into effective data solutions, highlighting your ability to bridge the gap between different audiences.
✨Demonstrate Your Problem-Solving Abilities
Be ready to talk about challenges you've faced in previous roles, particularly around data integrity and performance issues. Discuss the steps you took to identify and resolve these problems, and how you documented your processes. This will showcase your analytical skills and your commitment to delivering high-quality data solutions.
