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For Companies At a Glance
- Tasks: Manage and optimise enterprise data infrastructure for seamless client access.
- Company: Leading technology services organisation in the heart of London.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Exciting projects with excellent career advancement potential.
- Why this job: Join a dynamic team and work with cutting-edge data technologies.
- Qualifications: Experience with Trino/Starburst and strong Unix/Linux skills required.
The predicted salary is between 60000 - 80000 £ per year.
I am working with a leading technology services organisation to find an experienced Senior Data Engineer to join their AI & Data team. You will take ownership of enterprise data infrastructure, ensuring clients can seamlessly access and utilise their data across multiple platforms. The preference is for someone with experience with Starburst or Trino; however, they are open to candidates who have used other tools.
What You’ll Be Doing:
- Deploying, configuring and managing Trino/Starburst Enterprise and Galaxy environments, including upgrades and performance tuning.
- Administering a Dell Data Lakehouse platform, setup, maintenance, and ensuring high availability.
- Designing and tuning containerised solutions (Kubernetes/OpenShift) for scalability and resilience.
- Setting up and managing data catalogs across multiple operational modes.
- Implementing security controls, managing data access governance, and ensuring regulatory compliance.
Skills to have:
- Proven Trino/Starburst Enterprise/Galaxy administration experience would be great.
- Strong Unix/Linux skills and solid understanding of distributed systems.
- Kubernetes or OpenShift container orchestration experience.
- Familiarity with Big Data (Hadoop/Hive/Spark) and cloud platforms (AWS, Azure, GCP).
- Knowledge of security frameworks: LDAP, Active Directory, OAuth2, Kerberos.
Nice to Have:
- Python and/or Java experience.
- Ansible or similar automation tooling.
- Dell Data Lakehouse administration experience.
Data Engineer employer: TechByte Talent Ltd
Contact Detail:
TechByte Talent Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with data engineering. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Trino or Starburst. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with container orchestration and data governance. We want you to feel confident and ready to impress!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data infrastructure and any relevant tools like Trino or Starburst. We want to see how your skills match the job description, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our AI & Data team. Keep it engaging and personal!
Show Off Your Technical Skills: When listing your skills, focus on those that are mentioned in the job description, like Unix/Linux expertise and container orchestration. We love seeing candidates who can demonstrate their technical prowess clearly.
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 you don’t miss out on any important updates from our team!
How to prepare for a job interview at TechByte Talent Ltd
✨Know Your Tools Inside Out
Make sure you brush up on your experience with Trino and Starburst, as well as any other relevant tools you've used. Be ready to discuss specific projects where you've deployed or managed these technologies, and how you tackled challenges along the way.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've designed and tuned containerised solutions using Kubernetes or OpenShift. Think about scenarios where you improved scalability or resilience, and be ready to explain your thought process and the outcomes.
✨Understand Data Governance
Since data access governance and security controls are key aspects of the role, make sure you can talk about your experience with security frameworks like LDAP or OAuth2. Highlight any instances where you ensured compliance and how you managed data access effectively.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's data infrastructure and their approach to AI and data management. This shows your genuine interest in the role and helps you assess if it's the right fit for you.