At a Glance
- Tasks: Build and maintain scalable data pipelines for cloud migration and modernise legacy code.
- Company: Leading London-based client with a focus on innovative data solutions.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with a chance to work alongside top industry professionals.
- Why this job: Join a critical data migration programme and make a real impact in the tech world.
- Qualifications: Strong experience in Teradata and AWS, with skills in data transformation.
The predicted salary is between 50000 - 65000 € per year.
Superb London based client are urgently looking for an experienced Teradata Engineer, Inside IR35, Hybrid Onsite/Remote for the next 6-12 months to work on this critical Data Migration programme. With a focus on building robust data pipelines, modernizing Legacy code, and ensuring flawless data delivery. You will work closely with Data Architects, System Analysts, and QA Automation Engineers to convert Legacy scripts into modern frameworks.
- Cloud Data Migration: Build and maintain scalable data pipelines to migrate from Teradata to Amazon S3.
- Legacy Code Modernization: Analyze and convert legacy Teradata BTEQ scripts into modular, version-controlled, and highly performant dbt (data build tool) models for data transformation.
Teradata Engineer/AWS employer: Sentinel
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your contributions directly impact critical data migration projects. With a hybrid work model based in London, employees enjoy the flexibility of remote work while benefiting from professional growth opportunities through hands-on experience with cutting-edge technologies like AWS and Teradata. Our commitment to employee development and a supportive team environment makes us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Teradata Engineer/AWS
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Teradata and AWS. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data pipelines and legacy code modernization. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Teradata and AWS. We recommend practicing with a friend or using online resources to simulate the interview experience.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that match your skills, and applying directly can sometimes give you an edge over other candidates. Let's get you that dream job!
We think you need these skills to ace Teradata Engineer/AWS
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Teradata and AWS experience. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. We love seeing enthusiasm and a clear understanding of the data migration process, so let your passion show!
Showcase Your Technical Skills:When detailing your experience, focus on your technical skills related to data pipelines and legacy code modernization. We’re looking for specific examples of how you’ve tackled similar challenges in the past.
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’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Sentinel
✨Know Your Teradata Inside Out
Make sure you brush up on your Teradata skills before the interview. Be ready to discuss your experience with data pipelines and how you've tackled legacy code. Prepare specific examples of projects where you've successfully migrated data or modernised scripts.
✨Familiarise Yourself with AWS
Since this role involves AWS, it’s crucial to understand its services, especially S3. Get comfortable discussing how you’ve used AWS in past projects, particularly in relation to data migration. Highlight any relevant certifications or training you've completed.
✨Collaboration is Key
This position requires working closely with Data Architects and QA Engineers. Be prepared to talk about your teamwork experiences. Share examples of how you’ve collaborated on projects, resolved conflicts, or contributed to a team’s success in delivering data solutions.
✨Showcase Your Problem-Solving Skills
Expect questions that assess your analytical thinking and problem-solving abilities. Think of scenarios where you faced challenges in data migration or code conversion, and explain how you approached and resolved those issues. This will demonstrate your critical thinking and adaptability.
