At a Glance
- Tasks: Design and develop data pipelines and systems to drive impactful insights.
- Company: Join a leading organisation focused on emergency response and social change.
- Benefits: Flexible working, 36 days leave, pension scheme, and wellbeing support.
- Other info: Inclusive culture prioritising equity, diversity, and personal growth.
- Why this job: Make a real difference with your data skills in a supportive environment.
- Qualifications: Experience in database technology, ETL/ELT principles, and coding in SQL and Python.
The predicted salary is between 39541 - 45000 € per year.
Location: UK flexible location (Hybrid, home and office)
Salary: £39,541 to £45,000 per annum (plus ILW, if residing & working in London)
Hours: 35 per week, flexible
Contract: Permanent
Could you help us act upon the latest data and insights to design our services, partner and convene, raise income and advocate for change?
Could you implement the design to develop and deliver the databases, data processes, data products and services that make up the data platform?
Could you develop a variety of solutions from smaller proof of concepts through to production ready data systems with a focus on business benefit realisation?
What will a day in the life of a Data Engineer involve?
- Develop data pipelines and functionality using agreed standards with approved methods and tooling, and support our partners doing the same where development activities are outsourced.
- Apply frameworks and patterns to support and maintain software and services, ensuring they are well-managed, monitored, maintained up-to-date, secure, performant, and available to users, and are supported by operational runbook.
- Capture and analyse user stories so that the user- and business-needs are well-understood, and our services have meaningful impact.
- Design, develop, and maintain robust data pipelines to ensure the efficient flow of data across various systems and platforms.
- Implement data models and schemas to support analytical and reporting needs.
- Build and maintain data warehouses, ensuring data quality, integrity, and security.
To be a successful Data Engineer, what will you need?
- Good understanding of database technology with specific use when storing and manipulating large datasets (hundreds of millions of transactions).
- Good understanding and knowledge of general ETL/ELT principles and best practice.
- Understand industry recognised standard data models with a specific emphasis on the Kimball Dimensional Modelling approach.
- Proven experience of interpreting business requirements, then creating and implementing technical solutions and data briefs as a result.
- Proven experience of managing projects effectively, using both waterfall and agile approaches.
- Experience developing data pipelines using Azure Databricks, dbt or snowflake (or similar tools) and coding in SQL and Python.
Interested? The closing date for applications is 23.59hrs on Tuesday the 2nd of June 2026 with interviews to follow.
In return for your commitment and expertise, you’ll get:
- Flexible working: Remote and hybrid working, flexitime, compressed hours, and job sharing.
- Holidays: 36 days annual leave (including bank holidays) + option to buy 5 extra days.
- Pension scheme: Up to 6% contributory pension.
- Learning & Development: A range of career & learning opportunities.
- Discounts: Blue Light Discount Card, Tickets For Good & employee benefits platform.
- Wellbeing Support: Peer Supporters, CiC (EAP) & Headspace App.
- Cycle2Work: Lease a bicycle through the scheme.
We are dedicated to building an inclusive, equitable and wellbeing focused culture where everyone feels safe, valued and can thrive. Guided by our Equity, Diversity, Inclusion and Wellbeing Strategy, we foster belonging, psychological and physical wellbeing, and work to remove barriers to fair opportunities. Grounded in compassion and anti-racist practice, we listen to diverse voices, value lived experience and create environments where staff and volunteers can succeed. Join us and be part of an organisation that leads with care, celebrates difference and helps everyone succeed.
Together, we are the world's emergency responders.
Data Engineer employer: British Red Cross
As a Data Engineer with us, you'll be part of a forward-thinking organisation that prioritises flexible working arrangements and employee wellbeing. We offer an inclusive culture that values diversity and provides ample opportunities for professional growth, alongside generous benefits such as 36 days of annual leave and a supportive learning environment. Join us in making a meaningful impact while enjoying the balance of hybrid work in a dynamic and compassionate setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those using Azure Databricks or SQL. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions. Think about how you’d explain your experience with ETL processes or data modelling. Confidence is key, so get comfortable talking about your expertise!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with database technology, ETL/ELT principles, and any relevant tools like Azure Databricks or SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our mission. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Projects:If you've worked on any relevant projects, make sure to include them in your application. Whether it's a proof of concept or a full-scale data system, we love seeing real examples of your work and how you’ve tackled challenges.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at British Red Cross
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of database technologies and ETL/ELT principles. Be ready to discuss how you've handled large datasets in the past, especially if you've worked with hundreds of millions of transactions. This will show that you understand the core requirements of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've interpreted business requirements and turned them into technical solutions. Think about specific projects where you managed to create effective data pipelines or data models. This will demonstrate your ability to deliver real business benefits.
✨Familiarise Yourself with Tools
If you've used Azure Databricks, dbt, or Snowflake, be ready to talk about your experience with these tools. If not, do a bit of research and understand their functionalities. Being able to discuss how you would use these tools in practice can set you apart from other candidates.
✨Understand the Company Culture
Take some time to learn about the company's commitment to equity, diversity, and inclusion. Be prepared to discuss how you can contribute to this culture. Showing that you align with their values can make a big difference in how they perceive you as a candidate.
