At a Glance
- Tasks: Build and improve data pipelines while developing SQL-based data models.
- Company: Join a major UK charity driving significant data transformation.
- Benefits: Competitive salary, hybrid work, and the chance to influence data strategy.
- Other info: Opportunity to shape the future of data usage in a charitable context.
- Why this job: Make a real impact in a meaningful organisation while advancing your career.
- Qualifications: Experience with data integration, modelling, and strong communication skills.
The predicted salary is between 52000 - 62000 £ per year.
I’m working with a major UK charity that has recently implemented Snowflake and is now looking for 2 Data Engineers to help shape what comes next. They're looking for 1 mid level IC, and 1 mid-senior who wants to step into more of a Senior role. That role will be around 70–80% hands-on, but they also need someone capable of thinking strategically, improving engineering practices and challenging the business when data requirements aren’t clear or sensible.
As a team, you’ll be responsible for:
- Building and improving data pipelines
- Developing SQL-based data models
- Integrating Salesforce and other data sources into Snowflake
- Establishing data quality and governance practices
- Improving engineering processes and ways of working
- Managing the performance and cost of the data platform
- Working with senior stakeholders across the organisation
You’ll need:
- Experience integrating multiple sources into a data warehouse
- A good understanding of data modelling, quality and governance
- The confidence to take ownership and push back when needed
- Strong communication and stakeholder-management skills
Snowflake experience would be highly desirable, but it isn’t essential if you’ve worked extensively with another modern cloud data platform. Experience with Salesforce, Marketing Cloud or Data Cloud/Data 360 would also be useful, while previous charity or fundraising experience is a bonus rather than a requirement.
You’ll be joining at the beginning of a significant data transformation, with plenty of new engineering work and the opportunity to influence how the organisation uses data moving forward.
Data Engineer – Snowflake / SQL / Data Pipelines - £52-62k employer: The Developer Link
As a leading global digital agency located in the heart of Central London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from a competitive salary, a comprehensive benefits package, and the opportunity to work on cutting-edge digital and AI projects, all while enjoying a hybrid work model that promotes work-life balance. With a strong focus on professional development, we provide ample growth opportunities for our team members to advance their careers in a fast-paced and supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – Snowflake / SQL / Data Pipelines - £52-62k
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We think you need these skills to ace Data Engineer – Snowflake / SQL / Data Pipelines - £52-62k
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!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at The Developer Link. 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!
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✨Brush Up on Your Statistics
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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!
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✨Prepare for Case Studies
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