At a Glance
- Tasks: Design and develop scalable data pipelines and architecture for a major organisation.
- Company: Join a leading national organisation investing heavily in data and technology.
- Benefits: Competitive salary, hybrid working, and excellent company benefits.
- Other info: Collaborative environment with opportunities to engage with senior stakeholders.
- Why this job: Take ownership of data solutions and influence future technology decisions.
- Qualifications: Expert SQL skills and experience with Azure and AWS environments.
The predicted salary is between 63000 - 77000 £ per year.
Excellent opportunity for a senior Data Engineer to join a major national organisation and take ownership of the architecture, development and ongoing evolution of its enterprise data platform. This is a newly influential role within an organisation investing significantly in data, reporting and technology.
You will have the opportunity to:
- Design and develop scalable data pipelines
- Shape the architecture of a Microsoft-based data lake
- Work directly with senior stakeholders across technology and finance
- Build and maintain data solutions across Azure and AWS
- Bring together information from multiple systems and ensure that complex datasets remain accurate, secure and reliable
You will work closely with developers, infrastructure engineers, data specialists, report writers and senior business users. The position offers a strong mixture of hands-on engineering, technical ownership and stakeholder engagement.
The ideal candidate will have:
- Expert SQL skills
- Extensive MS SQL Server experience
- Strong knowledge of Databricks and Azure Data Factory
- Practical experience delivering data solutions across both Azure and AWS environments
This is a fantastic opportunity to take a leading role in the development of a large organisation’s data capability, with the autonomy to influence architecture, engineering standards and future technology decisions.
The Role:
- Designing, developing and maintaining scalable data pipelines
- Building data architecture that brings together multiple business systems
- Developing and supporting a Microsoft-based enterprise data lake
- Designing and maintaining MS SQL databases and related data systems
- Building ETL and data transformation solutions using Databricks and Azure Data Factory
- Developing cloud-based data solutions across Azure and AWS
- Ensuring the quality, integrity and reliability of complex datasets
- Working closely with FP&A, technology teams and senior business stakeholders
- Collaborating with developers, infrastructure engineers and reporting specialists
- Troubleshooting complex data and pipeline issues
Four days per week based in the Newcastle office, with one day working from home.
The Person:
- Expert SQL knowledge
- Extensive experience with Microsoft SQL Server
- Strong experience with Databricks
- Experience building ETL pipelines using Azure Data Factory or similar tools
- Hands-on experience working across both Azure and AWS
- Programming knowledge using Python, Java, C# or a similar language
- Strong understanding of data architecture, data lakes and pipeline development
- Confident communicating with both technical and non-technical stakeholders
- Experience working with financial systems or FP&A teams would be advantageous
Data Engineer in Newcastle upon Tyne employer: Rise Technical
Rise Technical is an excellent employer, offering a supportive work culture that prioritises employee growth and development. With competitive salaries and opportunities for overtime, our established garage in Hilton provides a rewarding environment for Vehicle Technicians to thrive, backed by a strong reputation for staff longevity and career progression.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer 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 Rise Technical!
✨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 Data Engineer at Rise Technical.
✨Leverage Professional Networks
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 Rise Technical.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Rise Technical, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineer 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 Rise Technical, 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 Rise Technical. 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 Rise Technical
✨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 Rise Technical!
✨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.
