Test Engineer – Data & Automation Quality Lead

Test Engineer – Data & Automation Quality Lead

Full-Time 35000 - 45000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Enhance quality and reliability of data outputs through structured testing.
  • Company: Multiplex, a company prioritising inclusivity and work-life balance.
  • Benefits: Professional development opportunities and a supportive work environment.
  • Other info: Great opportunity for career growth in a collaborative setting.
  • Why this job: Join a dynamic team to boost delivery confidence and stability in data engineering.
  • Qualifications: Strong SQL skills and experience with PowerApps, SharePoint, and APIs.

The predicted salary is between 35000 - 45000 Β£ per year.

Multiplex is seeking a Test Engineer to enhance the quality and reliability of outputs from the Data Engineering teams. The role involves structured testing to boost delivery confidence and stability while collaborating closely with Development leads and Business Analysts.

The ideal candidate will possess strong SQL skills and experience with PowerApps, SharePoint, and APIs. This position offers an inclusive culture, with a focus on work-life balance and professional development opportunities.

Test Engineer – Data & Automation Quality Lead employer: Multiplex

Multiplex is an excellent employer that prioritises an inclusive culture and work-life balance, making it a fantastic place for Test Engineers to thrive. With a strong emphasis on professional development, employees are encouraged to grow their skills in a collaborative environment, working closely with Development leads and Business Analysts to enhance the quality of data outputs. The company's commitment to structured testing and reliability ensures that team members contribute to meaningful projects while enjoying unique advantages associated with a supportive workplace.

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Contact Details:

Multiplex Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Test Engineer – Data & Automation Quality Lead

✨Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Multiplex.

✨Apply Directly through Our Website

When you find a suitable opening like Test Engineer – Data & Automation Quality Lead at Multiplex, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Test Engineer – Data & Automation Quality Lead

Python
SQL
Problem-Solving Skills
Data Engineering
Data Governance
Automation
Data Pipeline Development

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at Multiplex, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Multiplex. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Multiplex

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Multiplex!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.