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- Tasks: Join us as a Junior Data Lake Developer, enhancing our Data Lake and Warehouse solutions.
- Company: We're a forward-thinking company embracing hybrid work and innovation in data management.
- Benefits: Enjoy the flexibility of working from home and a collaborative team environment.
- Why this job: This role offers hands-on experience with cutting-edge cloud technologies and a chance to make an impact.
- Qualifications: Familiarity with GCP, SQL, and Python is essential; a can-do attitude is a must!
- 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.
By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Policy –
Data Engineer - WFH employer: bet365
Contact Detail:
bet365 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - WFH
✨Tip Number 1
Familiarize yourself with the GCP product suite, especially BigQuery and Analytics Hub. Having hands-on experience or projects that showcase your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Brush up on your SQL and Python skills. Consider working on personal projects or contributing to open-source projects that involve data processing to demonstrate your proficiency.
✨Tip Number 3
Network with professionals in the data engineering field. Join relevant online communities or attend webinars to connect with others who can provide insights or even referrals for the position.
✨Tip Number 4
Showcase your problem-solving skills and flexibility in your interactions. Be prepared to discuss how you've tackled challenges in past projects, as this will highlight your can-do attitude.
We think you need these skills to ace Data Engineer - WFH
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 GCP product suite, SQL, and Python scripting as these are crucial for the position.
Tailor Your CV: Highlight your relevant experience with cloud providers, SQL queries, and Python scripting in your CV. Be specific about any projects or tasks that demonstrate your skills in these areas.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and how your background aligns with the company's needs. Mention your can-do attitude and flexibility, as these traits are valued by the employer.
Review and Submit: Before submitting your application, review all documents for accuracy and completeness. Ensure that your personal data is shared in accordance with the company's Recruitment Privacy Policy.
How to prepare for a job interview at bet365
✨Show Your Technical Skills
Be prepared to discuss your experience with GCP, SQL, and Python. Bring examples of projects where you've implemented data solutions or improved performance in a Data Lake or Data Warehouse.
✨Demonstrate Your Problem-Solving Ability
Think of specific challenges you've faced in previous roles and how you overcame them. This will showcase your can-do attitude and flexibility, which are key for this position.
✨Understand the Business Needs
Research the company and its business model. Be ready to explain how your work as a Data Engineer can directly impact their operations and help meet their evolving demands.
✨Ask Insightful Questions
Prepare questions that show your interest in the role and the company. Inquire about their current Data Lake challenges or future projects, demonstrating your eagerness to contribute.
