At a Glance
- Tasks: Develop and optimise SQL data solutions for a major pricing transformation project.
- Company: Join a fast-paced commercial environment in Warwickshire.
- Benefits: 3-month contract, outside IR35, and immediate start available.
- Other info: Collaborate closely with senior stakeholders and drive better decision-making.
- Why this job: Make a real impact by improving data quality and supporting AI capabilities.
- Qualifications: Strong SQL skills and experience with large datasets required.
We're looking for a hands-on SQL Data Engineer to support a major pricing and data transformation project within a fast-paced commercial environment. This is a highly visible contract role focused on improving data quality, automating workflows, and helping build the foundations for scalable pricing analytics and future AI capability. You'll work directly with senior commercial stakeholders to untangle complex datasets, improve database structures, and support the evolution of pricing models across the business. This role would suit someone who combines strong SQL and data engineering capability with commercial awareness and a proactive mindset.
What You'll Be Doing
- Developing and optimising SQL-based data solutions
- Improving and restructuring pricing and commercial datasets
- Automating manual data processes and workflows
- Cleaning and standardising large data sets
- Building scalable database structures and relationships
- Supporting pricing model development and business logic implementation
- Working closely with commercial and pricing teams to drive better decision-making
What We're Looking For
- Strong SQL expertise
- Experience working with large relational datasets
- Strong understanding of data structures, joins, keys, and optimisation
- Data engineering/database development experience
- Commercially minded with strong problem-solving ability
- Comfortable working closely with business stakeholders
- Python experience beneficial but not essential
Contract Details
- Initial 3-month contract
- Outside IR35
- Warwickshire-based
- 5 days onsite
- Immediate/start ASAP preferred
SQL Data Engineer employer: Big Red Recruitment Midlands Ltd
Join a dynamic team in Warwickshire as an SQL Data Engineer, where you'll play a pivotal role in a major pricing and data transformation project. Our company fosters a collaborative work culture that values innovation and professional growth, offering you the chance to work closely with senior stakeholders while enhancing your skills in a fast-paced environment. With a focus on employee development and a commitment to improving data quality, this is an excellent opportunity for those seeking meaningful and rewarding employment.
Contact Detail:
Big Red Recruitment Midlands Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land SQL Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, 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
Prepare for interviews by brushing up on your SQL skills and understanding the latest trends in data engineering. Practice common interview questions and be ready to showcase your problem-solving abilities with real-world examples.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your skills and interests. Tailor your approach to each company’s culture and values to stand out.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. It shows your enthusiasm for the role and gives you another chance to highlight why you’re the perfect fit.
We think you need these skills to ace SQL Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SQL expertise and data engineering experience. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this SQL Data Engineer role. Mention your commercial awareness and problem-solving skills, and how they can benefit our team.
Showcase Your Technical Skills:When filling out your application, be specific about your technical skills. Highlight your experience with large relational datasets and any automation processes you've implemented. We love seeing concrete examples!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining the StudySmarter family!
How to prepare for a job interview at Big Red Recruitment Midlands Ltd
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with complex queries, joins, and optimising database structures. Practising some real-world scenarios can help you articulate your thought process when tackling data challenges.
✨Understand the Business Context
Since this role involves working closely with commercial stakeholders, it’s crucial to understand how data impacts business decisions. Research the company’s pricing strategies and think about how your data engineering skills can contribute to their goals. This will show that you’re not just a techie but also commercially aware.
✨Prepare for Problem-Solving Questions
Expect to face questions that assess your problem-solving abilities. Think of examples from your past experiences where you’ve improved data quality or automated workflows. Be ready to explain your approach and the impact of your solutions on the business.
✨Show Your Proactive Mindset
This role requires a proactive attitude, so be prepared to share instances where you took the initiative in previous projects. Whether it was identifying inefficiencies or suggesting improvements, demonstrating your proactive mindset will resonate well with the interviewers.
