At a Glance
- Tasks: Design and maintain data systems, transforming raw data into valuable insights.
- Company: Fast-growing, family-oriented organisation focused on people and development.
- Benefits: Competitive salary, birthday leave, and wellbeing support programmes.
- Other info: Excellent opportunities for career progression and work-life balance.
- Why this job: Join a dynamic team and grow your career in data engineering.
- Qualifications: Experience in data engineering, strong SQL skills, and proficiency in Python.
The predicted salary is between 45000 - 45000 £ per year.
A fast-growing, family-oriented organisation operating across multiple locations in the UK with a strong focus on people, development and long-term career growth are looking for a Data Engineer to join their growing team. As their business continues to expand, they are investing heavily in data and technology to support smarter decision-making and innovation across the organisation. This is an excellent opportunity for someone with some hands-on experience who is eager to further develop their career in data engineering, with access to training and professional development.
Key Responsibilities
- Design, build and maintain scalable data processing systems
- Develop and manage data pipelines to transform raw data into usable insights
- Support and enhance data warehouse architectures and ETL processes
- Collaborate with technical and non-technical stakeholders to deliver data solutions
- Monitor and optimise data performance and reliability
- Maintain and improve API integrations across systems
- Ensure best practices in data governance, security and compliance
- Troubleshoot and resolve data-related issues
- Document data processes, systems and architecture
Skills & Experience
- Experience in a Data Engineer or similar role
- Strong SQL skills and proficiency in Python
What's On Offer
- Competitive salary up to £45,000
- Strong focus on career progression and professional development
- Birthday leave
- Employee wellbeing support programmes
- Additional perks and benefits designed to support your work-life balance
Data Engineer in Manchester employer: Jefferson Frank
Join a fast-growing, family-oriented organisation in Manchester that prioritises people and long-term career growth. As a Data Engineer, you'll benefit from a strong focus on professional development, competitive salary, and unique perks like birthday leave and employee wellbeing support, all within a collaborative work culture that values innovation and smart decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Manchester
✨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 Jefferson Frank!
✨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 Jefferson Frank.
✨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 Jefferson Frank.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Jefferson Frank, 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 Manchester
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 Jefferson Frank, 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 Jefferson Frank. 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 Jefferson Frank
✨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 Jefferson Frank!
✨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.
