At a Glance
- Tasks: Design and develop data integrations, troubleshoot issues, and optimise processes.
- Company: Join a forward-thinking company with a supportive team culture.
- Benefits: Hybrid working model, excellent benefits, and opportunities for skill development.
- Other info: Flexible work environment with great career growth potential.
- Why this job: Make a real impact by solving data challenges and collaborating with diverse teams.
- Qualifications: Experience in ETL, databases, APIs, and strong analytical skills required.
The predicted salary is between 45900 - 56100 £ per year.
We are looking for an experienced Data Engineer to join our team and play a key role in connecting systems, improving data quality and ensuring information flows smoothly across the organisation.
As a Data Engineer, you will design and develop data integrations, work with databases and APIs, transform and validate data, troubleshoot issues and optimise processes for performance and reliability. This is an excellent opportunity for a Data Engineer who enjoys solving problems, working with data and collaborating with different teams to deliver effective solutions.
We are looking for a Data Engineer with experience in ETL, databases, data warehousing and APIs, along with strong analytical and problem-solving skills.
What's in it for you?
Join a company that offers excellent benefits, including a hybrid working model, giving you the flexibility to work effectively both remotely and in the office. You will also have the opportunity to develop your skills and make a real impact within a supportive and forward-thinking team.
If you are an experienced Data Engineer with a passion for data and relevant qualifications or certifications in data integration, data management or cloud technologies, we would love to hear from you.
Key skills:
- Experience with ETL and data integration technologies
- Strong database and data warehousing knowledge
- Experience with APIs and cloud technologies
- Excellent problem-solving and analytical skills
- Strong attention to detail and commitment to data quality
- Excellent communication and teamwork skills
- Relevant qualifications or certifications are desirable
Ideally, you will have experience with:
- Azure Data Factory/Azure Databricks
- MS SQL Server / SSMS
Data Engineer employer: MCLENNAN KNIGHT RECRUITMENT LIMITED
Join a vibrant and supportive small business in Knutsford as an Office Manager, where you'll enjoy a flexible working environment and the chance to make a real impact. With a focus on employee growth and a collaborative culture, this role offers you the opportunity to develop your skills while managing a dynamic office and engaging with customers daily. Experience a rewarding career in a friendly team that values your contributions and fosters a positive work-life balance.
Contact Details:
MCLENNAN KNIGHT RECRUITMENT LIMITED Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨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 MCLENNAN KNIGHT RECRUITMENT LIMITED!
✨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 MCLENNAN KNIGHT RECRUITMENT LIMITED.
✨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 MCLENNAN KNIGHT RECRUITMENT LIMITED.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at MCLENNAN KNIGHT RECRUITMENT LIMITED, 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
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 MCLENNAN KNIGHT RECRUITMENT LIMITED, 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 MCLENNAN KNIGHT RECRUITMENT LIMITED. 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 MCLENNAN KNIGHT RECRUITMENT LIMITED
✨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 MCLENNAN KNIGHT RECRUITMENT LIMITED!
✨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.
