At a Glance
- Tasks: Join a dynamic team to build and optimise data systems for renewable energy.
- Company: Leading tech company focused on impactful data solutions.
- Benefits: Competitive pay, hybrid work model, and potential for long-term contract.
- Other info: Exciting opportunity for career growth in a collaborative environment.
- Why this job: Make a difference in renewable energy while advancing your data engineering skills.
- Qualifications: Experience with Snowflake, Python, SQL, and DBT required.
The predicted salary is between 50000 - 60000 £ per year.
A leading tech company requires a data engineer for an initial 6-month contract. The position is hybrid, outside IR35, and will likely extend long-term due to the amount of work they have in the pipeline.
The Role:
You will be part of a rapidly growing data team helping to deliver their leading data platform, which is being used to drive key decision-making in renewable energy and its use around the world - tech for good, you could say!
They are looking for a data engineer with demonstrable experience with Snowflake building complex systems to ingest and process large volumes of data.
The main tools you will be using day to day are:
- Snowflake
- Python
- SQL
- DBT
You:
Our customer is looking for someone well-versed in the above tools/technologies. They also need someone who understands the principles of Data Engineering and is willing to roll up their sleeves, as this project is critical for them.
As a Senior member of the team, you are expected to pick up their tooling quickly, work closely with other team members, and help build upon an already industry-leading product.
Rate / Process:
This role is based in Edinburgh City Centre. This is a hybrid role, and they are looking for someone on-site a couple of times a week.
Contract Snowflake Data Engineer in Dalkeith employer: Cathcart Technology
Join a leading tech company in Edinburgh that champions innovation and sustainability through its cutting-edge data platform. With a strong focus on employee growth, you will be part of a dynamic team where collaboration and creativity thrive, offering you the chance to make a meaningful impact in the renewable energy sector. Enjoy a hybrid work environment that promotes work-life balance while being part of a project that drives positive change globally.
StudySmarter Expert Advice🤫
We think this is how you could land Contract Snowflake Data Engineer in Dalkeith
✨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 Cathcart Technology!
✨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 Contract Snowflake Data Engineer at Cathcart Technology.
✨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 Cathcart Technology.
✨Apply Directly through Our Website
When you find a suitable opening like Contract Snowflake Data Engineer at Cathcart Technology, 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 Contract Snowflake Data Engineer in Dalkeith
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 Cathcart Technology, 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 Cathcart Technology. 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 Cathcart Technology
✨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 Cathcart Technology!
✨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.
