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For Companies At a Glance
- Tasks: Design ETL pipelines and build data models to support analytics.
- Company: Join a tech-savvy company optimizing data for consumer goods giants.
- Benefits: Enjoy remote work flexibility with occasional co-working meetups.
- Why this job: Be part of a dynamic team driving growth through innovative data solutions.
- Qualifications: Expertise in Snowflake, Azure, and Power BI is essential.
- Other info: This role offers a chance to impact major retail and e-commerce sectors.
The predicted salary is between 36000 - 60000 £ per year.
Company DescriptionOur client works with consumer goods companies to optimize their data sources, drive growth, and deliver actionable insights. Their technology platform, ClearView, is tailored for Consumer Goods professionals, offering flexibility and scalability. We collaborate closely with clients to achieve their desired results, covering Retail, Out of Home, E-Commerce, and Field Sales.This is a Remote role with a few in-person meetings in shared co-working spaces on an ad hoc basis.Role DescriptionWe are looking for a Data Engineer, specializing in data modelling, ETL processes, and cloud-based data solutions. This position requires expertise in Snowflake, Azure, and Power BI, with a strong focus on building semantic models and supporting analytics.Key Responsibilities: Design and optimize ETL pipelines in Snowflake and Azure Data Factory to streamline data integration and transformation. Build and manage semantic data models in Snowflake and Power BI to support scalable, user-friendly analytics and reporting. Develop Snowflake stored procedures using Python to automate workflows and handle complex data transformations. Ensure data integrity and accessibility within Snowflake to support effective data warehousing operations. Collaborate with analytics and business teams to align data models with reporting needs and business goals. Qualifications: Strong experience in Data Engineering, with a foc…
Data Engineer employer: Inspiring Interns & Graduates
Contact Detail:
Inspiring Interns & Graduates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarize yourself with the specific tools mentioned in the job description, like Snowflake and Azure. Consider taking online courses or tutorials to deepen your understanding of these platforms, as hands-on experience can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with consumer goods companies. Join relevant online forums or LinkedIn groups to engage in discussions and gain insights that could be beneficial during interviews.
✨Tip Number 3
Prepare to discuss real-world examples of your experience with ETL processes and data modeling. Think about specific projects where you optimized data pipelines or built semantic models, as these stories will demonstrate your expertise effectively.
✨Tip Number 4
Since this is a remote role, be ready to showcase your ability to work independently and manage your time effectively. Highlight any previous remote work experiences and how you successfully collaborated with teams in different locations.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position. Understand the key responsibilities and qualifications required, especially focusing on data modeling, ETL processes, and cloud technologies like Snowflake and Azure.
Tailor Your CV: Customize your CV to highlight relevant experience in data engineering, particularly with Snowflake, Azure, and Power BI. Include specific projects or achievements that demonstrate your expertise in building ETL pipelines and semantic models.
Craft a Compelling Cover Letter: Write a cover letter that connects your skills and experiences directly to the responsibilities outlined in the job description. Emphasize your ability to collaborate with analytics teams and your understanding of consumer goods data needs.
Proofread Your Application: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at Inspiring Interns & Graduates
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Snowflake, Azure, and Power BI in detail. Highlight specific projects where you've designed ETL pipelines or built semantic models, as this will demonstrate your hands-on expertise.
✨Understand the Business Context
Research the consumer goods industry and understand how data engineering impacts business growth. Be ready to explain how your work can drive actionable insights for clients, aligning with their goals in Retail, E-Commerce, and more.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process when faced with challenges in data integration or transformation, especially using Python for Snowflake stored procedures.
✨Emphasize Collaboration Skills
Since the role involves working closely with analytics and business teams, be sure to share examples of how you've successfully collaborated in the past. Highlight your ability to align technical solutions with business needs.
