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For Companies At a Glance
- Tasks: Join a talented team to enhance and develop innovative data solutions.
- Company: A mission-driven organisation improving the world with cutting-edge software.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real difference by safeguarding online communities using advanced AI technologies.
- Qualifications: 5+ years in data engineering with expertise in ElasticSearch, Kafka, and cloud services.
- Other info: Dynamic team environment focused on innovation and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
The Company
An organisation whose products genuinely seek to improve the world in which we live, having developed an industry-leading suite of software products that allows businesses with online communities to better understand them. They safeguard users against negative behaviour, through utilising sophisticated AI technologies such as language and behavioural analysis in order to automate the interception of abuse in near real-time.
The Role
Working in a close-knit, highly talented team of data engineers, you will be working across the stack, improving existing functionality, and developing new areas of the application as the product grows and adapts to client requirements. As a team, they don’t rely on managed services provided by the large LaaS providers so although they do use tools like ElasticSearch and Kafka, they manage the infrastructure for these services themselves. That means they are looking for a candidate who understands these technologies (or similar) deeply enough to ensure they are optimally leveraging their capabilities.
The Candidate
- 5 or more years of professional experience in data engineering
- Experience with ElasticSearch, Kafka, Redis, Google Cloud and/or AWS
- Experience working with environments that include high volume data throughput
- Experience in Python or Javascript programming
Senior Data Engineer employer: Graduate Recruitment Bureau
Contact Detail:
Graduate Recruitment Bureau Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees or connections in the industry. A friendly chat can give you insider info about the company culture and maybe even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with ElasticSearch, Kafka, or any relevant tech. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your Python or JavaScript skills. Consider mock interviews to build confidence and refine your answers.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and engaged with our mission.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Senior Data Engineer role. Highlight your experience with ElasticSearch, Kafka, and any cloud services you've worked with. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how your background aligns with our goals at StudySmarter. Let us know why you're excited about improving the world through technology.
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in managing high-volume data throughput and using tools like Python or JavaScript. We love seeing what you've accomplished!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures it gets into the right hands. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Graduate Recruitment Bureau
✨Know Your Tech Inside Out
Make sure you have a solid understanding of ElasticSearch, Kafka, and Redis. Brush up on how these technologies work together and be ready to discuss your hands-on experience with them. The interviewers will want to see that you can leverage these tools effectively.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in data engineering and how you overcame them. Use examples that highlight your ability to manage high-volume data throughput and your programming skills in Python or JavaScript. This will demonstrate your practical knowledge and critical thinking.
✨Understand the Company’s Mission
Familiarise yourself with the company’s products and their impact on online communities. Be ready to explain how your role as a Senior Data Engineer can contribute to their mission of safeguarding users and improving the world. This shows that you’re not just interested in the job, but also in the company’s goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tech stack, and future projects. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values. It’s a two-way street, so make sure you’re also assessing if this is the right fit for you!
