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- Tasks: As a Data Engineer, you'll design data models and manage ETL processes.
- 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 actionable insights.
- Qualifications: Expertise in Snowflake, Azure, and Power BI is essential.
- Other info: This role is perfect for recent grads eager to make an impact.
The predicted salary is between 28800 - 48000 £ per year.
Company Description Our 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 Description We 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 a…
Data Engineer - Graduate employer: Inspiring Interns & Graduates Careers
Contact Detail:
Inspiring Interns & Graduates Careers Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Graduate
✨Tip Number 1
Familiarize yourself with Snowflake, Azure und Power BI. Nutze Online-Kurse oder Tutorials, um deine Kenntnisse in diesen Technologien zu vertiefen, da sie für die Rolle als Data Engineer entscheidend sind.
✨Tip Number 2
Netzwerke mit Fachleuten aus der Branche, insbesondere in den Bereichen Consumer Goods und Datenanalyse. LinkedIn ist eine großartige Plattform, um Kontakte zu knüpfen und mehr über die Herausforderungen und Trends in diesem Bereich zu erfahren.
✨Tip Number 3
Bereite dich auf technische Interviews vor, indem du häufige Fragen zu Datenmodellierung und ETL-Prozessen übst. Es kann hilfreich sein, Beispiele aus deinen bisherigen Projekten oder Studienarbeiten parat zu haben, um deine Fähigkeiten zu demonstrieren.
✨Tip Number 4
Zeige deine Leidenschaft für Daten und deren Anwendung in der Geschäftswelt. Bereite einige Ideen oder Ansätze vor, wie du das Unternehmen unterstützen könntest, um ihre Ziele im Bereich Datenoptimierung zu erreichen.
We think you need these skills to ace Data Engineer - Graduate
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 required skills, especially focusing on data modeling, ETL processes, and cloud technologies like Snowflake and Azure.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize any projects or roles where you worked with data modeling, ETL processes, or cloud-based solutions.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and how your background makes you a great fit for the role. Mention specific experiences with tools like Power BI and how you can contribute to the company's goals.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Inspiring Interns & Graduates Careers
✨Understand the Technology Stack
Make sure you have a solid understanding of Snowflake, Azure, and Power BI. Be prepared to discuss how you've used these technologies in your previous projects or studies, and think about specific examples that showcase your skills.
✨Showcase Your Data Modelling Skills
Be ready to explain your approach to data modelling. Discuss any relevant experience you have with designing semantic models and how they can support analytics. This will demonstrate your ability to contribute effectively to the team.
✨Prepare for ETL Process Questions
Since the role focuses on ETL processes, review your knowledge of data extraction, transformation, and loading techniques. Be prepared to answer questions about challenges you've faced in ETL and how you overcame them.
✨Emphasize Collaboration and Communication
As this is a remote role with occasional in-person meetings, highlight your experience working in collaborative environments. Discuss how you communicate effectively with team members and clients, especially when working on data-driven projects.
