At a Glance
- Tasks: Support data infrastructure and ensure accurate reporting for business intelligence.
- Company: Join a dynamic team focused on data-driven decision-making.
- Benefits: Enjoy 25 days leave, discounts, bonuses, and career development.
- Other info: Fast-paced environment with opportunities for continuous learning.
- Why this job: Make an impact by enhancing data quality and supporting analytics.
- Qualifications: Experience with SQL, data warehousing, and strong analytical skills.
The predicted salary is between 35000 - 45000 £ per year.
We’re recruiting for a data focused professional to support the foundations of the team in quality business intelligence and reporting. This role is centred on data infrastructure, data warehousing, and data accuracy, ensuring that BI Analysts are fully supported with reliable, well-structured data to develop reporting and insights.
Key Responsibilities
- Implementation of data flows to connect systems using ETL technologies
- Preparation of data for analytical, business intelligence, and operational use
- Maintaining databases and providing technical support for existing data structures
- Creation and upkeep of company-wide data assets
- Supporting the development of a holistic database aligned to the wider data warehouse strategy
- Producing and reviewing technical design documentation to support accurate reporting solutions
- Working collaboratively with the data team to improve analytics and support business decision-making
About You
- Understanding of data warehouses and data lakes
- Experience with SQL Server development
- Experience with programming/coding
- Business intelligence development experience
- Strong attention to detail and data correlation skills
- Ability to assess end-user needs and adapt to changing priorities
- Strong communication, collaboration, and consulting skills
- Ability to work in a fast-paced environment to tight deadlines
- Critical thinking capability
- Proficiency with Microsoft Office (Word, Excel)
- Self-starter mindset with a focus on continuous learning and knowledge sharing
What we offer in return
- 25 days’ annual leave (plus 8 bank holidays)
- Company bonus scheme
- 30% discount on food & drink within our managed pubs & Visitors Centre shop
- 50% discount on accommodation within the managed estate
- Fantastic training & career development opportunities
- Pension Scheme - 4% Employee and Employer. Can increase to 5% if required
- Cycle to work scheme
- Westfield Health cash plan – Claim money back for Dental, Eye Care, Physio etc.
- Westfield Rewards – Shopping rewards
Data Engineer employer: St Austell Brewery
Join a dynamic team where your expertise as a Data Engineer will be valued and nurtured. With a strong focus on employee growth, we offer fantastic training opportunities, a supportive work culture, and a range of benefits including generous annual leave, discounts on food and accommodation, and a comprehensive pension scheme. Located in a vibrant area, our company fosters collaboration and innovation, making it an excellent place for professionals seeking meaningful and rewarding employment.
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 St Austell Brewery!
✨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 St Austell Brewery.
✨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 St Austell Brewery.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at St Austell Brewery, 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 St Austell Brewery, 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 St Austell Brewery. 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 St Austell Brewery
✨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 St Austell Brewery!
✨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.
