At a Glance
- Tasks: Design and build robust data pipelines while modernising the data platform.
- Company: Join a forward-thinking organisation focused on data innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Take ownership of impactful projects and shape the future of data engineering.
- Qualifications: Experience with data engineering and strong knowledge of Microsoft Fabric.
The predicted salary is between 63000 - 77000 £ per year.
Making sure you fit the guidelines as an applicant for this role is essential, please read the below carefully.
Senior Data Engineer - Remote
We are looking for a Senior Data Engineer to take a key role in developing, modernising and improving the organisations data platform and data warehouse capability.
This is a hands-on senior engineering position with genuine ownership.
Youll be responsible for designing and building robust data pipelines, developing scalable data models and helping shape the future architecture of the data platform.
Youll be joining an environment where there is an existing data estate to improve, alongside significant opportunity to introduce modern engineering practices and technologies.
Microsoft Fabric will play an important role in the ongoing modernisation of the platform, so were looking for someone who can bring strong practical experience of Fabric and help drive its adoption.
Youll work closely with Data, BI, Technology, Business Analysis and wider project teams, while also providing technical guidance and mentoring to less experienced engineers.
- What Youll Be Doing
- Take ownership of the design, development and ongoing improvement of the organisations data platform and warehouse.
- Design, build and optimise reliable data pipelines across multiple source systems.
- Develop scalable ETL/ELT processes to transform complex operational data into trusted, usable datasets.
- Lead the modernisation of the existing data warehouse and data platform, with Microsoft Fabric at the heart of the future architecture.
- Design and maintain robust data models using approaches such as Kimball, dimensional modelling, star schemas and medallion architecture.
- Work across a variety of source systems where data structures, integration capabilities and data quality can vary significantly.
- Identify and resolve complex data quality and performance issues across source systems, pipelines, transformations and reporting layers.
- Introduce and improve monitoring, logging, testing, validation and recovery processes. xgikmsk
- Work closely with BI Analysts to develop high-quality warehouse models, marts and reusable datasets.
- Contribute to the development of data engineering standards, including source control, peer review, automated testing, CI/CD and repeatable d Please click on the apply button to read the full job description
Senior Data Engineer in Preston employer: Pave Talent Partners
Join a forward-thinking company that values innovation and collaboration, offering a remote-first work environment that empowers you to shape the future of data. With a strong focus on employee growth, you'll have the chance to mentor others while working on exciting projects like the migration to Microsoft Fabric. Enjoy a supportive culture that encourages continuous improvement and provides ample opportunities for professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Preston
✨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 Pave Talent Partners!
✨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 Senior Data Engineer at Pave Talent Partners.
✨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 Pave Talent Partners.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Pave Talent Partners, 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 Senior Data Engineer in Preston
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 Pave Talent Partners, 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 Pave Talent Partners. 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 Pave Talent Partners
✨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 Pave Talent Partners!
✨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.
