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- Tasks: Manage and implement a new Data Lakehouse using cutting-edge technology.
- Company: Join the RNLI, dedicated to saving lives at sea for over 200 years.
- Benefits: Enjoy flexible working, 26 days annual leave, and a fantastic pension scheme.
- Why this job: Be part of a mission-driven team using data to save lives and make a real impact.
- Qualifications: Experience with data platforms, ETL routines, T-SQL, and familiarity with GitHub is essential.
- Other info: This is a temporary role for up to 12 months, offering a hybrid work environment.
The predicted salary is between 49492 - 58226 £ per year.
Location: Poole, United Kingdom
Job Category: Other - EU work permit required: Yes
Job Reference: 17971
Posted: 02.06.2025
Expiry Date: 17.07.2025
Salary: £49,492 to £58,226 (dependent on experience)
Contract type: Temporary: Fixed Term Contract or Secondment
Hours: Full Time
Location description: Hybrid between home and Poole
Closing Date: 29-09-2024
About us: Our purpose is simple, to save lives at sea. For 200 years, the RNLI has been working to save those who are in danger of drowning. We are looking for a Data Engineer to join us for up to 12 months in supporting our lifesavers to fulfil this purpose. The RNLI are embarking on an exciting journey to use data to drive the organisation and decisions both now and in the future.
Your Role: As Data Engineer, you will:
- Be responsible for implementation and day-to-day management of a new Data Lakehouse with the latest technology
- Use technology including Data Integration, Master Data, and Data Science/Analytics
- Provide a best practice approach in use of the platform capabilities to integrate systems and master data sets
- Work in partnership with Analysis teams in the provision of data and analysis output
About You: We are looking for candidates that are experienced in:
- Data or Analytics type platforms (Data Management, Data Integration, Master Data, Data Migrations, data marts/warehouses)
- Working with complex ETL routines and tools
- T-SQL
- Microsoft SQL Server
- Databricks
- Data modelling
- Data wrangling
- Working with a variety of data formats and protocols (JSON, XML, CSV, Parquet, structured and unstructured data)
- Working with API’s would be beneficial
- An understanding of the software development lifecycle and a familiarity working in an agile environment
- The use of source control and task management tools. Familiarity with GitHub is highly desirable.
This is a chance to join a team of experienced data professionals undertaking significant change at the RNLI, building the foundations for a top-class data management and analytical service. If you have the experience we’re looking for and a desire to make a difference, please apply now!
Data Engineer - Temporary (up to 12 months) employer: RNLI
Contact Detail:
RNLI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Temporary (up to 12 months)
✨Tip Number 1
Familiarise yourself with the RNLI's mission and values. Understanding their commitment to saving lives at sea will help you align your passion for data engineering with their goals, making you a more compelling candidate.
✨Tip Number 2
Network with current or former employees of the RNLI, especially those in data roles. They can provide insights into the company culture and specific challenges the Data Engineering team faces, which can be invaluable during interviews.
✨Tip Number 3
Brush up on your skills with the technologies mentioned in the job description, particularly T-SQL, Databricks, and data integration tools. Being able to discuss your hands-on experience with these technologies will set you apart from other candidates.
✨Tip Number 4
Prepare examples of past projects where you've successfully implemented data solutions or improved data management processes. Be ready to discuss how these experiences can translate to the RNLI's needs and contribute to their lifesaving mission.
We think you need these skills to ace Data Engineer - Temporary (up to 12 months)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with ETL routines, T-SQL, and data integration. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are passionate about the RNLI's mission and how your skills can contribute to their data-driven initiatives. Be specific about your experience with cloud-based data and analytics.
Showcase Relevant Projects: If you have worked on projects involving data lakes, data modelling, or API integrations, include these in your application. Briefly describe your role and the impact of your work on the project outcomes.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data engineering roles.
How to prepare for a job interview at RNLI
✨Know Your Data Tools
Familiarise yourself with the specific data tools mentioned in the job description, such as T-SQL, Microsoft SQL Server, and Databricks. Be prepared to discuss your experience with these technologies and how you've used them in past projects.
✨Showcase Your ETL Experience
Since the role involves working with complex ETL routines, be ready to share examples of your previous work in this area. Highlight any challenges you faced and how you overcame them, demonstrating your problem-solving skills.
✨Understand the RNLI's Mission
Research the RNLI and their mission to save lives at sea. Showing that you understand their purpose and how your role as a Data Engineer can contribute to this goal will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions related to data management, integration, and analytics. Brush up on your knowledge of data formats like JSON, XML, and CSV, and be ready to explain how you've worked with both structured and unstructured data.
