At a Glance
- Tasks: Design and build data layers for seamless reporting transitions and optimise SQL performance.
- Company: Dynamic tech firm in London with a hybrid work culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Exciting opportunity to work with cutting-edge technologies in a collaborative environment.
- Why this job: Join a team transforming data processes and make a real impact on business reporting.
- Qualifications: 6-8 years of experience in database engineering and advanced SQL skills required.
The predicted salary is between 59400 - 72600 £ per year.
Location: London, UK (Hybrid / 2-3 Days Onsite required)
Contract Type: FTC- 6 months
Experience needed – 6-8 years
Role Overview
The Data Warehouse / Database Engineer will design, build, and support the data layer required to transition reporting from Remedy to ServiceNow, enabling Business Objects to consume clean, performant, and reconciled datasets. The role focuses on bulk data ingestion, SQL development, schema design, and data validation, supporting a temporary dual‑dataset architecture across Remedy and ServiceNow.
Key Responsibilities
- Design and implement data warehouse schema changes to support ServiceNow data
- Develop bulk‑load SQL scripts to ingest ServiceNow data via the SNOW Mid Server
- Support and validate mapped ServiceNow data files provided by CSMO teams
- Optimise SQL performance for reporting and contractual data volumes
- Maintain and enhance dual‑run data models for Remedy and ServiceNow
- Support Business Objects reporting requirements through stable, well‑structured schemas
- Perform data reconciliation and validation between Remedy and ServiceNow datasets
- Troubleshoot data quality, performance, and ingestion issues
- Produce technical documentation for data flows, schemas, and load processes
Required Skills & Experience
- Strong experience as a Database / Data Warehouse Engineer
- Advanced SQL scripting skills
- Proven experience with Postgres and/or IBM Netezza
- Experience designing and maintaining enterprise data warehouse schemas
- Experience with batch ingestion and bulk‑load processes
- Strong data validation and reconciliation skills
- Experience supporting BI tools (e.g. Business Objects)
Desirable Experience
- Experience working with ServiceNow data extracts or APIs
- Exposure to Remedy ITSM datasets
Data Warehouse / Database Engineer employer: Neev
As a leading technology firm, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from a hybrid work structure, allowing for flexibility while working on exciting projects that drive meaningful change. With ample opportunities for professional growth and development, we are committed to supporting our team members in achieving their career aspirations in a supportive and engaging environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Warehouse / Database Engineer
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Neev before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Neev.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Neev.
We think you need these skills to ace Data Warehouse / Database Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Neev, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Neev, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Neev’s attention and show the tangible impact of your work.
How to prepare for a job interview at Neev
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Neev.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Neev.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Neev.
