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- Tasks: Enhance complex data systems and develop Spark jobs in collaboration with Data Science teams.
- Company: Leading search intelligence platform focused on innovation and efficiency.
- Benefits: Remote-first work, comprehensive perks, and significant career growth opportunities.
- Why this job: Join a dynamic team and make an impact with advanced technologies in data engineering.
- Qualifications: Strong background in Scala and Java, with a passion for coding excellence.
- Other info: Commitment to employee well-being in a supportive work environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading search intelligence platform is seeking a Senior Data Engineer to enhance their complex data systems. This role involves collaboration with Data Science teams, developing Spark jobs, and utilizing advanced technologies to drive efficiency.
Successful candidates will have strong backgrounds in Scala and Java, with a dedication to coding and engineering excellence. The position offers a remote-first environment and significant career growth opportunities, as well as a commitment to employee well-being with a range of comprehensive perks.
Senior Data Engineer - AI-Driven Spark Architect (Remote) employer: Adthena
Contact Detail:
Adthena Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - AI-Driven Spark Architect (Remote)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Spark or AI. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Spark projects or any cool data systems you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your Scala and Java knowledge, and be ready to discuss how you've tackled complex data challenges in the past. Practice makes perfect, so consider mock interviews with friends or mentors.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it’s the best way to ensure your application gets noticed by the right people.
We think you need these skills to ace Senior Data Engineer - AI-Driven Spark Architect (Remote)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Scala and Java in your application. We want to see how you've used these languages to tackle complex data challenges, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. We love seeing candidates who understand our needs and can demonstrate how their background aligns with the job description.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and achievements.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Adthena
✨Know Your Tech Stack
Make sure you brush up on your Scala and Java skills before the interview. Be ready to discuss your experience with Spark jobs and how you've used these technologies to solve complex data problems. This will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Showcase Collaboration Skills
Since this role involves working closely with Data Science teams, be prepared to share examples of past collaborations. Talk about how you’ve worked with others to enhance data systems or drive efficiency. Highlighting your teamwork will demonstrate that you’re a good fit for their collaborative culture.
✨Prepare for Technical Questions
Expect some technical questions that test your problem-solving abilities and coding skills. Practice coding challenges related to data engineering and be ready to explain your thought process. This will help you stand out as someone who values engineering excellence.
✨Understand Their Mission
Research the company’s mission and values, especially their commitment to employee well-being and career growth. Be ready to discuss how your personal goals align with theirs. This shows that you’re not just looking for any job, but that you’re genuinely interested in contributing to their success.