At a Glance
- Tasks: Ensure data quality and reliability through testing and automation.
- Company: Join a national organisation known for its innovation and impact.
- Benefits: Remote work, competitive salary of £75,000, and a fixed-term contract.
- Other info: 100% remote role, perfect for tech-savvy individuals in the UK.
- Why this job: Be a key player in delivering trustworthy data that drives business decisions.
- Qualifications: Experience in automation testing for Data Engineering and familiarity with testing tools.
The predicted salary is between 75000 - 75000 £ per year.
TrueNorth are working with a national organisation and household name who are looking for a QA focussed specifically around Data Engineering to join the team. The QA Data Engineer is responsible for ensuring the accuracy, reliability, and quality of data systems, pipelines, and analytics platforms. They design and implement automated testing frameworks, validate data transformations, and work closely with data engineers, analysts, and product teams to guarantee that data delivered to the business is trustworthy and fit for purpose.
Key responsibilities:
- Data Quality Assurance Testing and Automation
- Collaboration with Data Engineers
- Documentation and governance
Key skills and experience needed:
- Commercial experience of automation testing for Data Engineering
- Testing tools like Great Expectations, dbt, pytest and data validation frameworks
- Experience of testing data platforms such as Snowflake, BigQuery, Redshift, Databricks, Azure Synapse
- Experience of testing pipelines in things like Airflow, Azure Data Factory, AWS Glue, Kafka
- Data Concepts ETL/ELT, data modelling, data warehousing, data governance
The role is 100% remote, however you must be based in the UK with the right to work in the UK in place already - we are unable to sponsor for this position. We have a salary of £75,000 available on an 18 month fixed term contract.
Data QA Lead employer: True North Group
TrueNorth offers an exceptional work environment for the Data QA Lead role, providing a fully remote position that allows for flexibility and work-life balance. With a strong focus on collaboration and innovation, employees are encouraged to grow their skills through continuous learning opportunities and access to cutting-edge technologies, making it an ideal place for those seeking meaningful and rewarding employment in the data engineering field.
StudySmarter Expert Advice🤫
We think this is how you could land Data QA Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for a QA role. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your automation testing projects, especially those related to data platforms like Snowflake or BigQuery. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data QA scenarios. Be ready to discuss your experience with tools like Great Expectations and dbt, and how you've tackled challenges in data validation. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and helps us keep track of your application.
We think you need these skills to ace Data QA Lead
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data engineering and QA. Use keywords from the job description to show that you’re a perfect fit for the role.
Showcase Your Skills:Don’t just list your skills; provide examples of how you've used testing tools like Great Expectations or dbt in your previous roles. We want to see your hands-on experience!
Be Clear and Concise:When writing your cover letter, keep it straightforward. Explain why you’re interested in the role and how your background aligns with the responsibilities outlined in the job description.
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 don’t miss out on any important updates!
How to prepare for a job interview at True North Group
✨Know Your Data Tools
Familiarise yourself with the specific testing tools mentioned in the job description, like Great Expectations and dbt. Be ready to discuss your experience with these tools and how you've used them in past projects.
✨Showcase Your Collaboration Skills
Since the role involves working closely with data engineers and analysts, prepare examples of how you've successfully collaborated in previous roles. Highlight any cross-functional projects where you ensured data quality and reliability.
✨Understand Data Concepts Inside Out
Brush up on key data concepts such as ETL/ELT processes, data modelling, and data governance. Be prepared to explain how these concepts relate to quality assurance and how they impact the overall data pipeline.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that test your problem-solving skills in data quality assurance. Think of specific challenges you've faced in the past and how you overcame them, particularly in relation to data pipelines and analytics platforms.
