At a Glance
- Tasks: Design and maintain automated test frameworks while ensuring data integrity and system reliability.
- Company: Join a forward-thinking tech company focused on data and automation solutions.
- Benefits: Flexible working arrangements, competitive salary, and opportunities for professional growth.
- Other info: Work with cutting-edge technologies and mentor others in a dynamic team.
- Why this job: Make an impact in a collaborative environment while honing your technical skills.
- Qualifications: Experience in Python, SQL, and automated testing frameworks is essential.
The predicted salary is between 40000 - 50000 € per year.
We are seeking an experienced Test Engineer to support the delivery of high-quality data and application solutions. This role focuses on automation, data validation, and production analysis within a modern cloud-based environment. You will play a key role in ensuring system reliability, improving testing frameworks, and driving best practices across engineering teams. This is a collaborative position requiring strong technical expertise, analytical thinking, and the ability to mentor others while working across complex data platforms.
Key Responsibilities
- Design, develop, and maintain automated test frameworks to improve testing efficiency and coverage
- Analyse and interpret test results, identifying risks, issues, and areas for improvement
- Produce clear reports on testing activities, outcomes, and associated risks
- Automate data validation and application testing processes across distributed systems
- Investigate production issues using data analysis to identify root causes
- Work with orchestration tools (eg, Apache Airflow) to monitor workflows and troubleshoot failures
- Validate data using tools such as Jupyter Notebooks and Amazon Athena
- Analyse data across multiple formats to ensure integrity and correctness of new functionality
- Support CI/CD practices using Git-based workflows and pipeline automation
- Participate in infrastructure and deployment activities, including containerisation and Infrastructure as Code
- Collaborate with cross-functional teams to translate business requirements into testable solutions
- Mentor and guide team members on testing methodologies and best practices
Key Skills & Experience
- Technical Skills
- Proficiency in Python, SQL, and at least one additional programming language (eg, Java)
- Experience with Scripting languages such as Bash
- Strong understanding of automated testing frameworks and methodologies
- Hands-on experience with Apache Airflow and log analysis
- Familiarity with data processing tools such as Apache Spark
- Experience working with cloud platforms and services, including monitoring and logging tools, storage and data services, compute and container services
- Experience with CI/CD pipelines and version control systems (eg, GitLab)
- Knowledge of Infrastructure as Code (eg, Terraform)
- Familiarity with Docker and containerised environments
- Data & Analytics
- Strong data analysis skills, including working with structured and semi-structured data
- Experience validating and querying data using tools such as Athena and notebooks
- Understanding of data modelling concepts, including dimensional models and slowly changing dimensions
- Ability to generate realistic test data for various scenarios
- Additional Knowledge
- Understanding of distributed data platforms and big data environments (eg, EMR)
- Knowledge of encryption principles (client-side and server side)
- Awareness of production system monitoring and incident analysis
- Soft Skills
- Strong analytical and problem-solving abilities
- Excellent communication skills, with the ability to present findings clearly
- Proactive approach to identifying and mitigating risks
- Ability to mentor and support less experienced team members
- Collaborative mindset with experience working in agile delivery environments
Working Arrangements
UK-based role with flexible location. Occasional travel required for team collaboration sessions and workshops.
Test Engineer (SFIA 4) employer: Opus Recruitment Solutions Ltd
As a Test Engineer at our company, you will thrive in a dynamic and collaborative work culture that prioritises innovation and employee growth. We offer flexible working arrangements, opportunities for mentorship, and a commitment to best practices in automation and data validation, all within a modern cloud-based environment. Join us to be part of a team that values your expertise and supports your professional development while making a meaningful impact on high-quality data solutions.
Contact Detail:
Opus Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Test Engineer (SFIA 4)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Test Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your automated test frameworks and data validation projects. We love seeing real examples of your work, so make sure to highlight your experience with tools like Apache Airflow and Python.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your problem-solving approach. We want to see how you tackle challenges, especially when it comes to data analysis and testing methodologies.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are eager to collaborate and drive best practices in testing.
We think you need these skills to ace Test Engineer (SFIA 4)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Test Engineer role. Highlight your proficiency in Python, SQL, and any experience with automated testing frameworks. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data validation and automation. Share specific examples of how you've tackled challenges in previous roles, and let us know how you can help improve our testing frameworks.
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your experience with tools like Apache Airflow, Jupyter Notebooks, and any CI/CD practices you've implemented. We love seeing candidates who are hands-on and ready to dive into our cloud-based environment.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Opus Recruitment Solutions Ltd
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially Python, SQL, and any other programming languages mentioned in the job description. Be ready to discuss your experience with automated testing frameworks and tools like Apache Airflow. The more confident you are in your technical knowledge, the better you'll perform.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data issues or improved testing processes in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your analytical thinking and problem-solving abilities, which are crucial for this role.
✨Be Ready to Discuss Collaboration
Since this position requires working with cross-functional teams, think of instances where you've successfully collaborated with others. Highlight your communication skills and how you've mentored team members. This will show that you're not just a tech whiz but also a team player.
✨Prepare Questions About the Role
Interviews are a two-way street, so come prepared with insightful questions about the company's testing methodologies, CI/CD practices, or how they handle production issues. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
