At a Glance
- Tasks: Design and build scalable data pipelines to transform diverse data sources.
- Company: Rapidly expanding professional services organisation with a focus on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a strong emphasis on performance and scalability.
- Why this job: Join a dynamic team and turn data into actionable insights that drive success.
- Qualifications: Experience in data engineering, cloud technologies, and proficiency in Python.
The predicted salary is between 50000 - 70000 £ per year.
The Company NW Tech are delighted to be working with a rapidly expanding professional services organisation in their search for a Data Engineer.
The Role
- Design, build and maintain scalable data pipelines to ingest, process and transform structured and unstructured data from diverse sources.
- Ensure the data platform is fully documented, maintaining up-to-date information requirements, data models, data dictionaries, and ETL mappings.
- Collaborate with cross-functional teams, including system administrators, developers/engineers, external partners, and business stakeholders, to understand requirements and deliver solutions.
- Optimise solutions for performance, reliability, and scalability, ensuring efficient data processing and storage.
- Implement and manage orchestration workflows to automate data pipeline scheduling, monitoring, and error handling.
The Requirements
- Ideally experienced as a Data Engineer with hands-on experience designing and delivering data pipelines using industry-standard tools and cloud technologies.
- Knowledge of data engineering concepts, data pipeline development, ETL processes, data lake and data warehousing technologies.
- Proficiency in working with at least one major cloud data platform.
- Proficiency in Python for data engineering tasks (e.g. pipeline scripting, data transformation, automation).
- Good knowledge of relational database technologies and concepts.
Senior Engineer, Data Engineering in Newcastle upon Tyne employer: Nigel Wright Group
At NW Tech, we pride ourselves on being an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive culture that values diverse perspectives. Located in a vibrant area, we provide our team with the unique advantage of working alongside industry leaders while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in Newcastle upon Tyne
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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 Nigel Wright Group.
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We think you need these skills to ace Senior Engineer, Data Engineering 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 Nigel Wright Group, 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 Nigel Wright Group. 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 Nigel Wright Group
✨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 Nigel Wright Group!
✨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.
