At a Glance
- Tasks: Develop and maintain data pipelines, transforming data for analytics and reporting.
- Company: Leading financial technology business with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with experienced professionals and excellent career advancement.
- Why this job: Join a dynamic team and enhance your SQL skills while making an impact.
- Qualifications: Strong SQL skills and a passion for data engineering.
The predicted salary is between 35000 - 45000 £ per year.
Location: Newcastle Upon Tyne | Hybrid (3 Days Office / 2 Days Home)
Type: Full-time, Permanent
Overview
A leading financial technology business is looking to appoint a Data Engineer to join its growing data function and support the development of modern data platforms and analytical solutions. This is an excellent opportunity for someone with strong SQL skills and an interest in data engineering to work alongside experienced engineers, data scientists and analytics professionals within a highly data-driven environment. You’ll help transform data from multiple sources into reliable, scalable datasets that support reporting, business intelligence and advanced analytics initiatives.
Working with modern cloud technologies and data platforms, you’ll play a key role in building and maintaining data pipelines, improving data quality and supporting the ongoing evolution of the organisation’s analytics capabilities.
Key Responsibilities
- Support the development and maintenance of data pipelines and analytical data models
- Assist with transforming OLTP data into structured OLAP models and reporting datasets
- Develop, monitor and troubleshoot SQL queries and stored procedures
- Support enhancements to Microsoft Fabric data pipelines and processes
- Assist with integrating new internal and external data sources
- Contribute to ETL and ELT pipeline development and optimisation
- Support data warehouse modelling and analytics initiatives
- Assist with legacy data migration projects into Microsoft Fabric
- Prepare datasets for Data Science and advanced analytics teams
- Support ad hoc data requests and ensure data accuracy and quality
Requirements
- Strong SQL Server and T‑SQL skills
- Experience writing and troubleshooting SQL queries and stored procedures
- Understanding of data modelling concepts including facts and dimensions
- Understanding of ETL/ELT principles and data pipeline concepts
- Strong analytical and problem‑solving abilities
- Excellent attention to detail and commitment to data quality
- Strong communication and collaboration skills
- Desire to learn and develop within a data engineering environment
- Experience with Microsoft Fabric
- Exposure to Azure Data Factory or Azure Data Lake
SQL Developer in Newcastle upon Tyne employer: TyneStack Ltd
Join a leading financial technology business in Newcastle Upon Tyne, where you will thrive in a hybrid work environment that promotes flexibility and work-life balance. Our collaborative culture fosters continuous learning and professional growth, providing you with the opportunity to work alongside seasoned engineers and data scientists on cutting-edge data platforms. With a commitment to innovation and employee development, we offer a dynamic workplace that values your contributions and supports your career aspirations.
StudySmarter Expert Advice🤫
We think this is how you could land SQL Developer in Newcastle upon Tyne
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like TyneStack Ltd!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like SQL Developer at TyneStack Ltd.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like TyneStack Ltd.
✨Apply Directly through Our Website
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We think you need these skills to ace SQL Developer in Newcastle upon Tyne
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at TyneStack Ltd, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at TyneStack Ltd. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at TyneStack Ltd
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at TyneStack Ltd!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
