At a Glance
- Tasks: Ensure data quality by building robust testing processes and collaborating with data engineers.
- Company: Join a growing data engineering team in a dynamic environment.
- Benefits: Competitive daily rate, flexible hybrid work, and opportunities for professional growth.
- Other info: Work with modern data platforms and cutting-edge technologies.
- Why this job: Make a real impact on data quality and enhance business confidence in data.
- Qualifications: Strong experience in Data Quality Testing and advanced SQL skills required.
The predicted salary is between 60000 - 78000 £ per year.
Data Quality Tester
Location: London or Fareham, with up to 2 days per week in the office as required
Contract: Contract
Rate: Up to £300 per day
About the Role
We are looking for an experienced Data Quality Tester to join a growing data engineering team. You will play a key role in ensuring data quality across ingestion, transformation, and reporting pipelines by building robust testing processes that identify defects before they reach the business.
Working closely with data engineers, developers, and business stakeholders, you will help improve release quality, reduce testing cycles, and ensure confidence in the organisation's data platform.
Skills & Experience
Essential
- Strong experience in Data Quality Testing.
- Advanced SQL skills.
- Experience testing ETL/ELT pipelines and Data Warehouses.
- Experience validating BI reports and data transformations.
- Strong understanding of data reconciliation and data validation techniques.
- Experience creating automated regression tests.
- Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, or similar).
- Experience with Agile delivery methodologies.
- Excellent analytical and problem-solving skills.
Desirable
- Experience with Azure Data Factory, Databricks, Snowflake, or similar modern data platforms.
- Experience with Power BI or other reporting platforms.
- Knowledge of data quality tools such as Great Expectations, Soda, or dbt tests.
- Experience with Python for test automation.
- Experience working within cloud-based data platforms.
Hybrid Data Quality Engineer – ETL/BI Validation employer: Careerwise Uk
Careerwise-UK is an exceptional employer that fosters a collaborative and innovative work culture, allowing employees to thrive in their roles while working flexibly from home. With a strong emphasis on professional development, the company provides ample opportunities for growth and advancement, making it an ideal place for those looking to make a meaningful impact in the field of product data and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Quality Engineer – ETL/BI Validation
✨Showcase Your Skills with a Public Portfolio
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Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Hybrid Data Quality Engineer – ETL/BI Validation at Careerwise Uk, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
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How to prepare for a job interview at Careerwise Uk
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
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Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
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When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
