At a Glance
- Tasks: Design and implement scalable data pipelines using ETL/ELT processes.
- Company: Join a leading UK client with a focus on data-driven solutions.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Flexible working environment with only 6 office days per month.
- Why this job: Unlock value from large datasets and make a real impact in the organisation.
- Qualifications: Experience with Snowflake, AWS, Airflow, SQL, and Python required.
The predicted salary is between 60750 - 74250 £ per year.
Mc Nally Recruitment Ltd is seeking a Senior Data Engineer for a major UK client.
You can base yourself in Edinburgh, London, or Manchester, with 6 days per month in the office and the rest remote, helping to deliver scalable data pipelines and data-driven solutions across the organisation.
You’ll design ETL/ELT processes, model data, and work with Snowflake, AWS, Airflow, SQL and Python to unlock value from large datasets while enforcing security and governance.
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Senior Data Engineer - Hybrid, Remote UK (ETL/Snowflake) employer: McNally Recruitment Ltd
As an Infrastructure Engineer with our Financial Services company, you will thrive in a dynamic work culture that prioritises innovation and collaboration. With offices in both Edinburgh and London, we offer flexible working arrangements and a commitment to employee growth through continuous learning opportunities. Join us to be part of a forward-thinking team that values your expertise in building resilient cloud solutions while enjoying the unique advantages of working in the vibrant financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Hybrid, Remote UK (ETL/Snowflake)
✨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 McNally Recruitment Ltd!
✨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 - Hybrid, Remote UK (ETL/Snowflake) at McNally Recruitment Ltd.
✨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 McNally Recruitment Ltd.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer - Hybrid, Remote UK (ETL/Snowflake) at McNally Recruitment Ltd, 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 - Hybrid, Remote UK (ETL/Snowflake)
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 McNally Recruitment Ltd, 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 McNally Recruitment Ltd. 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 McNally Recruitment Ltd
✨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 McNally Recruitment Ltd!
✨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.
