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For Companies At a Glance
- Tasks: Build and maintain data infrastructure, develop pipelines, and enhance systems.
- Company: Join a leading finance company focused on innovative data solutions.
- Benefits: Enjoy competitive salary, remote work options, and a collaborative culture.
- Why this job: Be part of a transformative team migrating to modern data platforms with impactful projects.
- Qualifications: 2+ years in data engineering, expertise in Snowflake, and strong ETL/ELT skills required.
- Other info: Opportunity to work with cutting-edge tools like Fivetran and DBT.
The predicted salary is between 45000 - 105000 £ per year.
My client are seeking a Data Engineer to join their tech function, this role will report to the Lead Data Engineer, and has a focus on building and maintaining a robust data infrastructure to support the business's strategic goals. This role involves developing and managing data ingestion and transformation pipelines using modern tools such as Fivetran, DBT, and GitLab, while collaborating with business analysts and end-users to ensure systems are continuously enhanced to meet evolving needs.
In this role you’ll play a crucial part in the migration of legacy systems to modern data platforms, supporting the creation of insightful management information dashboards and scalable data solutions. The role requires hands-on experience in developing and maintaining high-quality code aligned with industry standards and internal practices.
Key Skills:- Proven experience (2+ years) designing and delivering end-to-end data warehouse solutions.
- Strong hands-on expertise in Snowflake architecture and integration.
- Skilled in data modelling using Kimball methodology, and building robust, production-grade ETL/ELT pipelines with DBT.
- Familiar with setting up and managing CI/CD workflows, preferably using GitLab or equivalent tools.
Data Engineer - £75,000 per annum - Azure - Snowflake - Finance employer: VirtueTech Recruitment Group
Contact Detail:
VirtueTech Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - £75,000 per annum - Azure - Snowflake - Finance
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake and DBT. Consider working on personal projects or contributing to open-source projects that utilise these technologies to demonstrate your hands-on experience.
✨Tip Number 2
Network with professionals in the finance sector who are currently working as Data Engineers. Attend industry meetups or webinars to gain insights into the latest trends and challenges they face, which can help you tailor your approach during interviews.
✨Tip Number 3
Prepare to discuss your experience with data modelling and ETL/ELT pipelines in detail. Be ready to provide examples of how you've applied the Kimball methodology in past projects, as this will showcase your expertise and problem-solving skills.
✨Tip Number 4
Highlight any experience you have with CI/CD workflows, especially using GitLab. If you have examples of how you've implemented these processes in previous roles, be sure to mention them, as this is a key requirement for the position.
We think you need these skills to ace Data Engineer - £75,000 per annum - Azure - Snowflake - Finance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering, particularly focusing on your expertise in Snowflake, Azure, and the tools mentioned like Fivetran and DBT. Use specific examples to demonstrate your skills in building ETL/ELT pipelines.
Craft a Compelling Cover Letter: In your cover letter, explain why you are interested in this role and how your background aligns with the company's needs. Mention your experience with data migration and creating management information dashboards, as these are key aspects of the job.
Showcase Relevant Projects: If you have worked on projects that involved data warehousing or CI/CD workflows, be sure to include these in your application. Describe your role and the impact of your contributions to demonstrate your hands-on experience.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a data engineering role.
How to prepare for a job interview at VirtueTech Recruitment Group
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with Snowflake, DBT, and Fivetran. Highlight specific projects where you've designed and delivered data warehouse solutions, and be ready to explain the architecture and integration processes you used.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to tackle challenges in data ingestion and transformation. Share examples of how you've resolved issues in past projects, particularly those involving legacy system migrations or enhancing data pipelines.
✨Understand the Business Context
Research the company’s strategic goals and think about how your role as a Data Engineer can support these objectives. Be ready to discuss how your work can contribute to creating insightful management information dashboards and scalable data solutions.
✨Prepare for Collaboration Questions
Since the role involves working closely with business analysts and end-users, be prepared to discuss your experience in collaborative environments. Share examples of how you've effectively communicated technical concepts to non-technical stakeholders.
