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- Tasks: Join us as a Junior Data Lake Developer and enhance our Data Lake solutions!
- Company: We're a forward-thinking company focused on data-driven solutions and innovation.
- Benefits: Enjoy hybrid working options and a collaborative work environment.
- Why this job: This role offers hands-on experience with cutting-edge cloud technologies and impactful projects.
- Qualifications: Familiarity with SQL, Python, and GCP products is a plus; a can-do attitude is essential!
- Other info: Be part of a dynamic team that values continuous improvement and collaboration.
The predicted salary is between 28800 - 48000 £ per year.
Who we are looking for A Junior Data Lake Developer, who will be responsible for implementing the changes and improvements required within the Data Lake solution.
You will liaise with other departments to ensure a high quality of work, whilst always looking to improve the performance of the Data Lake and Data Warehouse, to satisfy the ever-changing demands of the Business.
This role is eligible for inclusion in the Company’s hybrid working from home policy.
Commercial or academic exposure of the GCP product suite, or other cloud providers.
Relational set-based processing through SQL queries.
Commercial or academic experience of Python scripting.
Committed and flexible with a can-do attitude towards work.
Maintaining the GCP environment including BigQuery, Analytics Hub and Big Lake.
Developing load processes into the Data Lake.
Developing SQL and Python code to process data into the Data Lake.
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Data Engineer SQL - Hybrid Working employer: bet365
Contact Detail:
bet365 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer SQL - Hybrid Working
✨Tip Number 1
Familiarize yourself with the GCP product suite, especially BigQuery and Analytics Hub. Having hands-on experience or completing relevant online courses can give you a significant edge during discussions.
✨Tip Number 2
Brush up on your SQL skills by practicing complex queries and set-based processing. Consider working on personal projects or contributing to open-source projects that involve data manipulation.
✨Tip Number 3
Gain practical experience with Python scripting, focusing on data processing tasks. Building small applications or scripts that interact with data lakes can showcase your ability to handle real-world scenarios.
✨Tip Number 4
Network with professionals in the data engineering field, especially those who work with cloud technologies. Engaging in relevant forums or attending meetups can provide insights and potentially lead to referrals.
We think you need these skills to ace Data Engineer SQL - Hybrid Working
Some tips for your application 🫡
Understand the Role: Make sure you fully understand the responsibilities of a Junior Data Lake Developer. Familiarize yourself with the Data Lake solution, GCP product suite, and the importance of SQL and Python in this role.
Tailor Your CV: Highlight your relevant experience with SQL, Python, and any exposure to GCP or cloud providers. Be specific about your projects or coursework that demonstrate your skills in data processing and analytics.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the position and how your background aligns with the company's needs. Mention your can-do attitude and flexibility, as these traits are important for the role.
Review and Submit: Before submitting your application, review all documents for clarity and accuracy. Ensure that your contact information is correct and that you've followed any specific submission guidelines provided by the company.
How to prepare for a job interview at bet365
✨Show Your SQL Skills
Be prepared to discuss your experience with SQL queries. You might be asked to solve a problem on the spot, so practice writing set-based queries and be ready to explain your thought process.
✨Demonstrate Your Python Knowledge
Since Python scripting is essential for this role, be ready to talk about your past projects involving Python. Highlight any specific libraries or frameworks you've used and how they relate to data processing.
✨Understand GCP and Data Lakes
Familiarize yourself with Google Cloud Platform, especially BigQuery and Analytics Hub. Be prepared to discuss how you would maintain and improve a Data Lake environment, as well as any relevant experiences you have.
✨Emphasize Your Teamwork Skills
This role requires liaising with other departments, so be ready to share examples of how you've successfully collaborated in the past. Highlight your communication skills and your ability to adapt to changing demands.
