At a Glance
- Tasks: Own enterprise data infrastructure and ensure seamless data access across platforms.
- Company: Leading tech services organisation with a focus on AI and Data.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Exciting projects with potential for career advancement in a collaborative environment.
- Why this job: Join a dynamic team and make an impact in the world of data engineering.
- Qualifications: Degree in Computer Science or related field; experience with Trino/Starburst and Kubernetes.
The predicted salary is between 70000 - 70000 £ per year.
Location - London
Salary - £70,000
Hybrid - 2 days per week central London
The Role
I am working with a leading technology services organisation to find an experienced Senior Data Engineer to join their AI & Data team. You'll take ownership of enterprise data infrastructure, ensuring clients can seamlessly access and utilise their data across multiple platforms.
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
- Integrating diverse data sources into a unified, accessible data platform
- 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
A degree in Computer Science, Data Science, Engineering or a related field or equivalent practical experience
Skills to have:
- Proven Trino/Starburst Enterprise/Galaxy administration experience
- 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:
- Starburst Certified Practitioner certification
- Python and/or Java experience
- Ansible or similar automation tooling
- Dell Data Lakehouse administration experience
Occasional out-of-hours availability may be required for project go-lives.
Data Engineer in London employer: TechByte Talent Ltd
Join a leading technology services organisation in London, where innovation meets collaboration. As a Senior Data Engineer, you'll thrive in a hybrid work environment that promotes flexibility and work-life balance, while being part of a dynamic AI & Data team dedicated to pushing the boundaries of data accessibility. With ample opportunities for professional growth and a culture that values creativity and teamwork, this role offers a rewarding career path in one of the world's most vibrant cities.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Trino/Starburst or data lakehouses. This gives potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering. Practice common interview questions and be ready to discuss your experience with Kubernetes and cloud platforms.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Trino/Starburst and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data engineering and explain why you're excited about this role at StudySmarter. Let us know how you can contribute to our AI & Data team.
Showcase Your Technical Skills:Don’t forget to mention your technical skills, especially in Unix/Linux, Kubernetes, and cloud platforms. We love seeing candidates who can demonstrate their expertise in these areas, so be specific!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at TechByte Talent Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Trino/Starburst Enterprise and Galaxy environments. Be ready to discuss your experience with deploying, configuring, and managing these platforms, as well as any performance tuning you've done. This will show that you're not just familiar with the tools, but that you can truly leverage them.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've integrated diverse data sources into a unified platform. Think about challenges you've faced in previous roles and how you overcame them. This will demonstrate your ability to think critically and adapt in a fast-paced environment.
✨Get Comfortable with Containers
Since container orchestration is key for this role, be ready to discuss your experience with Kubernetes or OpenShift. You might even want to prepare a few scenarios where you've designed and tuned containerised solutions for scalability and resilience. This will highlight your hands-on experience and technical prowess.
✨Understand Security and Compliance
Familiarise yourself with security frameworks like LDAP, Active Directory, and OAuth2. Be prepared to talk about how you've implemented security controls and managed data access governance in past projects. This will show that you take data security seriously and understand its importance in the role.
