At a Glance
- Tasks: Transform raw data into actionable insights and develop automated data pipelines.
- Company: 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 40000 - 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.
Role Overview
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
Key Responsibilities
- 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
Requirements
- 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
Nice to Have (Optional)
- 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 Group
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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, models, and any projects you've worked on. This gives you a chance to demonstrate your expertise beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and ETL/ELT knowledge. Be ready to discuss how you've tackled challenges in previous roles and how you can contribute to the organisation's mission.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining the team.
We think you need these skills to ace Data Engineer in Newport
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SQL skills and experience with ETL/ELT processes. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Showcase Your Cloud Experience:If you've worked in Azure environments, let us know! Detail any specific projects where you developed scalable infrastructure. This will help us understand how you can contribute to our data-led transformation.
Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points for key skills and experiences, making it easy for us to see why you’re a great fit for the Data Engineer role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to make a positive impact!
How to prepare for a job interview at Gravitas Group
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your SQL skills and understand data warehousing principles like Kimball and STAR schemas. Be ready to discuss how you've used these in past projects, as this will show your practical experience and depth of knowledge.
✨Showcase Your ETL/ELT Expertise
Prepare to talk about specific automated ETL/ELT pipelines you've built or managed. Highlight any challenges you faced and how you overcame them. This will demonstrate your problem-solving skills and your ability to deliver efficient data solutions.
✨Familiarise Yourself with Azure
Since the role involves working within Azure cloud environments, it’s crucial to have a solid understanding of its features. Brush up on how you've developed scalable infrastructure in Azure and be ready to discuss any relevant projects or experiences.
✨Collaborate and Communicate
This role requires collaboration with cross-functional teams, so be prepared to share examples of how you've worked with others to translate business needs into technical solutions. Emphasising your teamwork skills will show that you're a good fit for their collaborative culture.
