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For Companies At a Glance
- Tasks: Build and maintain complex data sets, automate processes, and develop analytical tools.
- Company: Join a dynamic Research & Strategy team focused on investment insights across EMEA.
- Benefits: Enjoy flexible working options and opportunities for professional growth.
- Why this job: Be part of a forward-thinking team that values innovation and data-driven decision-making.
- Qualifications: 1-2 years in data engineering; proficient in SQL, Python, and BI tools like Tableau.
- Other info: Ideal for those passionate about real estate and investment data infrastructure.
The predicted salary is between 28800 - 48000 £ per year.
Join a high-performing Research & Strategy team working closely with private equity partners to drive investment insight and strategy across EMEA. This role is ideal for a forward-thinking and analytical data engineer passionate about real estate, investment, and data infrastructure. Key Responsibilities Build and maintain large, complex data sets from internal and external sources, including API integration and scripting. Design and implement scalable infrastructure and automate manual processes. Manage data extraction, transformation, and loading (ETL) using AWS and SQL technologies. Develop analytical tools and dashboards (e.g., using Tableau) to deliver actionable business insights. Ensure data quality and governance through robust validation processes. Key Requirements 1-2 years of experience in data engineering or a related role. Proficient in SQL, Python or R, and experienced with BI tools such as Tableau. Strong analytical, structured, and critical thinking skills. Familiar with data warehousing concepts (Snowflake, AWS). Excellent attention to detail and proficiency in MS Office Suite. A proactive self-starter with strong time and task management skills. …
Junior Data Engineer - SQL, Python, BI employer: Click To Hired
Contact Detail:
Click To Hired Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Engineer - SQL, Python, BI
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as SQL, Python, and Tableau. Consider building a small project or dashboard that showcases your skills in these areas, as this can be a great talking point during interviews.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work in real estate or investment sectors. Attend relevant meetups or webinars to gain insights and potentially get referrals for the position.
✨Tip Number 3
Stay updated on the latest trends in data engineering and BI tools. Follow industry blogs, podcasts, or forums to discuss new technologies and best practices, which can help you stand out as a knowledgeable candidate.
✨Tip Number 4
Prepare for technical interviews by practising common data engineering problems and scenarios. Use platforms like LeetCode or HackerRank to sharpen your SQL and Python skills, ensuring you're ready to demonstrate your expertise.
We think you need these skills to ace Junior Data Engineer - SQL, Python, BI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, SQL, Python, and BI tools like Tableau. Use specific examples to demonstrate your skills and achievements that align with the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and real estate investment. Mention how your analytical skills and experience with data infrastructure can contribute to the Research & Strategy team.
Showcase Relevant Projects: If you have worked on projects involving ETL processes, API integration, or data visualisation, include these in your application. Describe your role and the impact of your work on the project's success.
Highlight Soft Skills: In addition to technical skills, emphasise your attention to detail, time management, and proactive approach. These qualities are essential for a Junior Data Engineer and should be evident in your application.
How to prepare for a job interview at Click To Hired
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, and BI tools like Tableau. Bring examples of projects where you've used these technologies, and be ready to explain your thought process and the outcomes.
✨Demonstrate Analytical Thinking
Since the role requires strong analytical skills, think of scenarios where you've solved complex problems using data. Be ready to walk through your approach to data extraction, transformation, and loading (ETL) processes.
✨Understand Data Governance
Familiarise yourself with data quality and governance principles. Be prepared to discuss how you ensure data integrity and validation in your previous roles, as this is crucial for the position.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data infrastructure and how they leverage data for investment insights. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
