At a Glance
- Tasks: Identify risks, automate testing, and mentor team members in a dynamic environment.
- Company: Join a forward-thinking tech company focused on innovation and quality.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on continuous learning and career advancement.
- Why this job: Make a real impact by enhancing testing processes and ensuring high-quality software.
- Qualifications: Proficient in Python, Java, SQL, and experienced in automation and data analysis.
The predicted salary is between 50000 - 65000 £ per year.
Identifies and raises awareness of risks arising from automation test results. Identifies new and implements existing test frameworks to improve confidence in testing. Proficient in coding languages such as Python, Java, SQL, and scripting languages e.g., Bash. Mentors and advises other team members in testing practices. Automates data and application testing tasks and builds test coverage through existing or new infrastructure. Analyses and reports on test activities, results, issues and risks. Production data analysis to identify root cause of production environment issues. Using Apache Airflow for task orchestration and reviewing output logs. Basic understanding of EMR and reviewing output logs. Basic understanding of data processing using Apache Spark. Use of Jupyter notebooks to query and validate data. Use of Amazon Athena to query and validate data. Use of GitLab for source code management. Use of GitLab pipelines for CI/CD. Analyzing data in multiple formats to ascertain validity of new functionality. Use of AWS console and services such as CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, DynamoDB. Understanding of both server‑side and client‑side encryption. Basic understanding of dimensional data models and slowly changing dimensions/historic data capture. Basic Python, SQL and familiarity with PySpark. IaC using Terraform. Understanding of Docker and Dockerization of solutions. Data creation/generation for testing. Experience of understanding how customer expectations transition to applied functionality. Experience with Big Data solution or Data Lakes containing structure and unstructured data.
Senior Test Engineer in Newcastle upon Tyne employer: JobItUs
As a Senior Test Engineer at our innovative tech company, you will thrive in a dynamic work culture that prioritises collaboration and continuous learning. We offer competitive benefits, including professional development opportunities and a supportive environment where your expertise in automation and data analysis will be valued. Located in a vibrant tech hub, you'll enjoy access to cutting-edge resources and a community of like-minded professionals dedicated to pushing the boundaries of technology.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Test Engineer in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who work with automation testing or have experience with tools like Apache Airflow and AWS. A friendly chat can lead to insider info on job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects, especially those involving Python, SQL, or any automation frameworks you've worked with. 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 common testing scenarios and challenges. Be ready to discuss how you've identified risks in automation test results or mentored team members. We want to hear about your real-world experiences!
✨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 and take the initiative to connect directly with us.
We think you need these skills to ace Senior Test Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with the specific coding languages and tools mentioned in the job description. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your expertise in Python, SQL, and automation frameworks!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you're the perfect fit for the Senior Test Engineer role. Share your passion for testing and automation, and give us examples of how you've mentored others or improved testing processes in your previous roles.
Showcase Your Problem-Solving Skills:In your application, highlight any experiences where you identified risks or issues in testing and how you tackled them. We love candidates who can analyse data and come up with solutions, so make sure to include relevant examples!
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 the role. Plus, it gives you a chance to explore more about StudySmarter and what we stand for!
How to prepare for a job interview at JobItUs
✨Know Your Tech Stack
Make sure you’re well-versed in the coding languages and tools mentioned in the job description, like Python, Java, SQL, and Apache Airflow. Brush up on your knowledge of GitLab for CI/CD and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific instances where you identified risks from automation test results or resolved production issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Demonstrate Mentorship Experience
Since mentoring is a key part of this role, think of examples where you’ve guided team members in testing practices. Be ready to discuss how you approach mentoring and the impact it had on your team’s performance.
✨Familiarise Yourself with Data Concepts
Brush up on your understanding of data processing, especially with tools like Apache Spark and AWS services. Be prepared to explain how you’ve worked with structured and unstructured data, and how you ensure data validity in your testing processes.
