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- Tasks: Own and maintain a data warehouse, ensuring performance and data quality.
- Company: Established UK business focused on data-driven decision making.
- Benefits: Competitive salary, hybrid working, and opportunities for skill development.
- Other info: Inclusive team culture that values potential and attitude.
- Why this job: Take real responsibility for a data platform and work closely with the business.
- Qualifications: Experience with SQL, data warehousing, and a problem-solving mindset.
The predicted salary is between 36000 - 60000 £ per year.
We are working with a well established UK business operating in a regulated, operationally complex environment. They have a long track record of stability and are continuing to invest in how data is used across the organisation, particularly across finance and core business systems. Their data platform is evolving, and they are now looking for a Database Engineer to take ownership of their existing data warehouse and support the next phase of development. This is a hands on role with real responsibility, suited to someone who enjoys working close to the data and the business rather than sitting in a silo.
What you will be doing:
- Owning and maintaining an existing data warehouse, ensuring performance, reliability and data quality.
- Developing and improving data models to support reporting and business decision making.
- Building and maintaining data pipelines, integrating data from multiple internal and external sources.
- Working closely with IT, Finance and business stakeholders to translate requirements into data solutions.
- Monitoring and resolving data issues, performance bottlenecks and inconsistencies.
- Supporting the gradual evolution of the data platform as the business grows.
What they are looking for:
- Experience working with SQL in a production environment.
- Hands on experience with data warehousing, data modelling or ETL pipelines.
- Comfortable working with structured data and improving data quality and consistency.
- Experience with Microsoft based data tools or cloud platforms such as Azure.
- A practical, problem solving mindset with the ability to work independently.
- Confidence working with non technical stakeholders.
- Experience with tools such as Power BI, Azure Data Factory, Fabric, ERP systems or Jet Analytics would be beneficial, but not essential.
The role:
- Hybrid working with three days per week onsite in Oxfordshire.
- Salary up to £45k.
- Permanent, long term opportunity with ownership and scope to grow.
If you are looking for a role where you can take real responsibility for a data platform, work closely with the business, and develop your skills over time, this could be a great next step.
Inclusion matters: We and our client are committed to building an inclusive team that values different backgrounds and experiences. If this role sounds interesting but you do not meet every single requirement, we would still encourage you to apply. Potential and attitude matter just as much as experience.
Database Engineer - ID46360 in Oxford employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Database Engineer - ID46360 in Oxford
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with current employees at the company you're eyeing. A friendly chat can sometimes lead to opportunities that aren't even advertised!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects that highlight your SQL prowess or data warehousing experience, make sure to share them during interviews. It’s a great way to demonstrate your hands-on experience and problem-solving mindset.
✨Tip Number 3
Prepare for those tricky questions! Brush up on common database scenarios and be ready to discuss how you've tackled data issues in the past. This will show that you’re not just about theory but have real-world experience to back it up.
✨Tip Number 4
Don’t forget to follow up! After an interview, drop a quick thank-you email to express your appreciation for the opportunity. It keeps you fresh in their minds and shows your enthusiasm for the role. Plus, we love seeing candidates take that extra step!
We think you need these skills to ace Database Engineer - ID46360 in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Database Engineer. Highlight your experience with SQL, data warehousing, and any relevant tools like Azure or Power BI. We want to see how your skills align 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 evolving data platform. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills; give us examples of how you've tackled challenges in past roles. We’re looking for that practical, problem-solving mindset, so share specific instances where you made a difference!
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 you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Humand Talent
✨Know Your Data Inside Out
Before the interview, make sure you’re familiar with the company’s data landscape. Research their existing data warehouse and think about how you would approach improving it. Be ready to discuss specific examples of how you've tackled similar challenges in the past.
✨Brush Up on SQL and Data Tools
Since the role requires hands-on experience with SQL and data tools, ensure you can confidently demonstrate your skills. Prepare to answer technical questions or even solve problems on the spot. Practising common SQL queries and data modelling scenarios can really help you shine.
✨Communicate Clearly with Non-Technical Stakeholders
This role involves working closely with finance and business stakeholders, so practice explaining complex data concepts in simple terms. Think of examples where you’ve successfully communicated technical information to non-technical audiences, as this will show your ability to bridge the gap between tech and business.
✨Show Your Problem-Solving Mindset
Be prepared to discuss how you approach problem-solving, especially in relation to data quality and performance issues. Share specific instances where you identified a bottleneck or inconsistency and how you resolved it. This will demonstrate your practical mindset and ability to work independently.