At a Glance
- Tasks: Design and build scalable data pipelines using Microsoft Fabric to optimise data processes.
- Company: Join a forward-thinking team focused on modern data solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Be part of a growing team with a focus on innovative data architecture.
- Why this job: Make a real impact by transforming data management and driving better decision-making.
- Qualifications: Experience with Microsoft Fabric, SQL, and data modelling required.
The predicted salary is between 45000 - 55000 £ per year.
- Data Engineer
- On going contract programme
- Hybrid | Competitive Salary + Benefits
Are you a skilled Data Engineer looking to make a real impact? We're seeking a proactive and technically strong individual to help shape and develop a data platform using
Microsoft Fabric .
This role will provide dedicated data engineering capability with a primary focus on developing and optimising the use of Microsoft Fabric.
The team has already begun establishing capability in Fabric alongside ongoing delivery.
This role will build on that foundation that support both current delivery and future growth.
You will play a key role in moving us from project-based builds towards a more structured, platform-led approach to data.
You'll design and build scalable data pipelines, develop robust data models, improve data quality and governance, and help move the business away from manual spreadsheet-based processes.
Working closely with BI, development, and business teams, you'll play a key role in delivering reliable, accessible data that drives better decision-making.
Key Skills
- Microsoft Fabric
- SQL & Data Modelling
- Data Pipelines & Integration
- Power BI
- Python
- Modern Data Architecture (Lakehouse/Warehouse)
This is an excellent opportunity to join a growing team and help build the foundations of a modern, scalable data platform.
Adecco acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers.
The Adecco Group UK & Ireland is an Equal Opportunities Employer.
By applying for this role your details will be submitted to Adecco.
Our Candidate Privacy Information Statement explaining how we will use your information is available on our website.
Data Engineer in Preston employer: Adecco Careers
Adecco is an excellent employer for those seeking a meaningful career as a Housing Enforcement Officer, offering a supportive work culture that prioritises equal opportunities and employee development. With a commitment to professional growth and a focus on community impact, employees benefit from comprehensive training and resources in a dynamic environment that values their contributions.
StudySmarter Expert Advice🤫
We think this is how you could land 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 Adecco Careers!
✨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 Adecco Careers.
✨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 Adecco Careers.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Adecco Careers, 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 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 Adecco Careers, 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 Adecco Careers. 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 Adecco Careers
✨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 Adecco Careers!
✨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.
