Data QA Engineer - Cloud Data Pipelines & Validation in Manchester

Data QA Engineer - Cloud Data Pipelines & Validation in Manchester

Manchester Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Arrow Global Group

At a Glance

  • Tasks: Ensure data products are reliable and accurate while identifying improvement opportunities.
  • Company: Arrow Global Group, a forward-thinking company in Manchester.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Be part of a newly formed team focused on innovation and quality.
  • Why this job: Join a dynamic team and make a real impact on cloud data solutions.
  • Qualifications: Experience in QA engineering and a passion for data validation.

The predicted salary is between 63000 - 77000 £ per year.

Arrow Global Group in Manchester is seeking a highly skilled QA Engineer to join a newly formed Data-focused team.

The role demands a quality-first mindset, strong test engineering capabilities, and proven experience validating data-intensive, cloud-native solutions.

You’ll partner with Data Engineers, Data Stewards, and business stakeholders to ensure data products and pipelines are reliable, accurate, and fit for purpose while proactively identifying opportunities for continuous improvement.

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Data QA Engineer - Cloud Data Pipelines & Validation in Manchester employer: Arrow Global Group

Arrow Global Group is an exceptional employer located in the vibrant city of Manchester, offering a dynamic work culture that fosters collaboration and innovation. Employees benefit from comprehensive professional development opportunities, competitive remuneration, and a supportive environment that values diversity and inclusion. Joining our team means being part of a forward-thinking organisation dedicated to making a meaningful impact in the Financial Services sector.

Arrow Global Group

Contact Details:

Arrow Global Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data QA Engineer - Cloud Data Pipelines & Validation in Manchester

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Arrow Global Group!

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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data QA Engineer - Cloud Data Pipelines & Validation at Arrow Global Group.

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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 Arrow Global Group.

Apply Directly through Our Website

When you find a suitable opening like Data QA Engineer - Cloud Data Pipelines & Validation at Arrow Global Group, 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 Data QA Engineer - Cloud Data Pipelines & Validation in Manchester

SQL
Python
Communication Skills
Data Pipeline Development
Problem-Solving Skills
Data Engineering
API Integration

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Arrow Global Group, 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 Arrow Global Group. 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 Arrow Global Group

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!

Showcase Your Projects

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 Arrow Global Group!

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.