At a Glance
- Tasks: Own end-to-end data engineering solutions on exciting greenfield projects.
- Company: Join a high-growth organisation with a focus on innovation.
- Benefits: Earn up to £70,000 plus a comprehensive benefits package and remote work flexibility.
- Other info: Enjoy a dynamic work environment with opportunities for growth.
- Why this job: Make a real impact by designing and optimising cutting-edge data solutions.
- Qualifications: Strong skills in Python, SQL, and cloud-based data engineering.
The predicted salary is between 60000 - 80000 £ per year.
This is a great opportunity to join a high-growth organisation where you can take ownership of end-to-end data engineering delivery across modern cloud platforms and greenfield projects.
THE ROLE: You will take ownership of delivering end-to-end data engineering solutions, working across greenfield projects from initial design through to deployment and optimisation. Key responsibilities include:
- Designing data solutions from source systems
- Building and maintaining data ingestion pipelines
- Developing transformations and data models
- Orchestrating workflows and deploying environments
- Managing ongoing optimisation and performance improvements
You will also engage directly with stakeholders and clients, ensuring strong communication throughout project delivery.
YOUR SKILLS AND EXPERIENCE: You will bring strong capability in:
- Advanced Python and SQL development
- Delivering end-to-end data engineering projects
- Building scalable cloud-based data solutions
- Working independently and taking ownership of delivery
- Strong communication skills with client-facing experience
- Terraform or Infrastructure-as-Code experience
THE BENEFITS: You will receive a salary of up to £70,000 depending on experience, along with a comprehensive benefits package and the flexibility of fully remote working.
HOW TO APPLY: Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Senior Data Engineer (Snowflake) in London employer: Harnham - Data & Analytics Recruitment
Join a dynamic and high-growth organisation as a Senior Data Engineer, where you will have the opportunity to lead innovative data engineering projects from conception to deployment. Enjoy the flexibility of fully remote work within the UK, alongside a competitive salary and comprehensive benefits package that supports your professional growth and fosters a collaborative work culture focused on excellence and innovation.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (Snowflake) in London
✨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 Harnham - Data & Analytics Recruitment!
✨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 (Snowflake) at Harnham - Data & Analytics Recruitment.
✨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 Harnham - Data & Analytics Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer (Snowflake) at Harnham - Data & Analytics Recruitment, 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 (Snowflake) in London
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 Harnham - Data & Analytics Recruitment, 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 Harnham - Data & Analytics Recruitment. 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 Harnham - Data & Analytics Recruitment
✨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 Harnham - Data & Analytics Recruitment!
✨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.