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- Tasks: Join us to build and enhance a cloud-based data warehouse on Microsoft Azure.
- Company: Be part of a team that shapes impactful data solutions and insights.
- Benefits: Enjoy a collaborative environment with opportunities for mentorship and growth.
- Why this job: This role offers a chance to innovate and make data-driven decisions that matter.
- Qualifications: Bring your expertise in cloud platforms, SQL, Python, and API integration.
- Other info: Ideal for those who thrive in agile teams and want to mentor others.
The predicted salary is between 36000 - 60000 £ per year.
About the Role: We are seeking an experienced Data Engineer to help build and enhance a cloud-based data warehouse hosted on Microsoft Azure. This role offers a unique opportunity to shape and develop a data platform, enabling impactful decision-making through innovative solutions and data insights. Key Responsibilities: Develop and maintain a cloud-based data warehouse using modern ETL tools. Build and optimise scalable data pipelines and workflows. Implement and support data visualisation tools such as Tableau or Power BI. Design and enhance data architecture and models (e.g., facts/dimensions, materialised views). Integrate APIs and support migration to a cloud environment. Collaborate with stakeholders to understand business needs and deliver tailored solutions. Mentor and support junior developers while contributing to an agile team environment. What We’re Looking For: Technical Expertise: Extensive experience with cloud data platforms, preferably Snowflake. Advanced SQL skills and experience with DBT. Proficiency in Python or a similar programming language. Hands-on experience with RESTful and GraphQL API integration. Tool Knowledge: Familiarity with cloud-based ETL tools and CI/CD pipelines (e.g., Azure DevOps, Jenkins). Experience integrating Tableau/Power BI with cloud data platforms.
Data Engineer employer: SF Recruitment (Tech) Careers
Contact Detail:
SF Recruitment (Tech) Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Make sure to showcase your experience with cloud data platforms, especially Snowflake. Highlight any projects where you've successfully built or maintained a cloud-based data warehouse, as this will resonate well with our needs.
✨Tip Number 2
Familiarize yourself with the latest ETL tools and CI/CD pipelines, particularly Azure DevOps and Jenkins. Being able to discuss your hands-on experience with these tools during the interview will demonstrate your technical expertise.
✨Tip Number 3
Prepare to discuss your experience with data visualization tools like Tableau or Power BI. Think of specific examples where you’ve used these tools to deliver insights that influenced decision-making.
✨Tip Number 4
Since collaboration is key in our agile environment, be ready to share examples of how you've worked with stakeholders to understand their business needs. This will show us that you can deliver tailored solutions effectively.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud data platforms, ETL tools, and SQL. Use specific examples that demonstrate your technical expertise and familiarity with the tools mentioned in the job description.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the responsibilities listed. Mention your experience with data architecture, API integration, and any relevant projects that showcase your skills.
Showcase Relevant Projects: If you have worked on projects involving data warehousing, cloud migration, or data visualization, be sure to include these in your application. Highlight your role and the impact of your contributions.
Prepare for Technical Questions: Anticipate technical questions related to data engineering, cloud platforms, and programming languages. Be ready to discuss your problem-solving approach and provide examples of how you've tackled challenges in previous roles.
How to prepare for a job interview at SF Recruitment (Tech) Careers
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with cloud data platforms, especially Snowflake. Highlight your advanced SQL skills and any projects where you've utilized DBT, as these are crucial for the role.
✨Demonstrate Your Problem-Solving Skills
Expect questions that assess your ability to build and optimize scalable data pipelines. Prepare examples of challenges you've faced in previous roles and how you overcame them using innovative solutions.
✨Familiarize Yourself with Data Visualization Tools
Since the role involves implementing data visualization tools like Tableau or Power BI, be ready to discuss your experience with these tools. Share specific examples of how you've used them to deliver insights.
✨Emphasize Collaboration and Mentorship
This position requires collaboration with stakeholders and mentoring junior developers. Prepare to talk about your experience working in agile teams and how you've supported others in their development.
