At a Glance
- Tasks: Transform raw data into actionable insights and develop efficient data pipelines.
- Company: A purpose-driven organisation focused on social impact through housing.
- Benefits: Competitive salary, collaborative culture, and opportunities for meaningful contributions.
- Other info: Join a dynamic team with a focus on innovation and career growth.
- Why this job: Make a real difference in communities while enhancing your data engineering skills.
- Qualifications: Proven SQL experience and knowledge of ETL/ELT processes.
The predicted salary is between 50000 - 50000 £ per year.
Our client is a well-established organization dedicated to making a positive social impact through social housing. They foster a collaborative and purpose-driven culture, encouraging innovation and meaningful contributions. This role involves working within the technology team to develop and maintain data pipelines, models, and warehousing solutions that directly influence community betterment. The position is crucial for enhancing the organization’s data capabilities, enabling smarter decision-making and operational efficiency.
The Data Engineer will be responsible for transforming raw source data into actionable insights by designing and implementing resilient data solutions. The role involves integrating new system feeds, optimizing data pipelines, and centralizing data storage, supporting the organization’s transformation into a data-led entity.
Key Skills & Experience- Advanced SQL skills, including writing and optimizing stored procedures
- Practical experience in building and managing automated ETL/ELT data pipelines
- Strong understanding of data warehousing principles, such as Kimball and STAR schemas
- Experience working within Azure cloud environments to develop scalable infrastructure
- Own the end-to-end process from raw data ingestion to insights delivery
- Design, build, and manage automated data pipelines for efficiency and repeatability
- Integrate new system data feeds and maintain existing data flows
- Develop and maintain a centralized data warehouse aligned with best practices
- Collaborate with cross-functional teams to understand business needs and translate them into technical solutions
- Right to work in the UK and able to work on-site
- Proven experience with SQL, ETL/ELT development, and data warehousing principles
- Experience working within Azure cloud environments
- Ability to work within a UK-based organization in a permanent role
- Exposure to Microsoft Fabric or Power BI
- Experience working in Agile project environments
If you’re passionate about applying your data engineering skills to a meaningful cause and meet the above criteria, we encourage you to apply with an updated CV. Interviews can be scheduled as soon as Wed 4th or Fri 5th June.
Data Engineer in Newport employer: Gravitas Recruitment
Our client is an exceptional employer, offering a collaborative and purpose-driven work culture that prioritises social impact through social housing. Employees benefit from opportunities for professional growth within a supportive environment, where innovation is encouraged and contributions are valued, making it a rewarding place to develop your career as a Data Engineer.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in Newport
✨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 Gravitas 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 Data Engineer at Gravitas 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 Gravitas Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineer at Gravitas 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 Data Engineer in Newport
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 Gravitas 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 Gravitas 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 Gravitas 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 Gravitas 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.
