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- Tasks: Lead data testing initiatives and ensure data quality across modern platforms.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in data validation and work with cutting-edge technologies.
- Qualifications: 7+ years in data testing, expertise in Databricks and Talend required.
- Other info: Dynamic team environment with mentorship opportunities and career advancement.
The predicted salary is between 60000 - 80000 £ per year.
MUST HAVE: ACTIVE SC CLEARANCE (SECURITY CLEARED CANDIDATES ONLY)
About the Role
We are seeking an experienced Data Test Lead with strong expertise in Databricks and Talend to lead end-to-end data validation, quality assurance, and testing strategies across modern data platforms. The ideal candidate will have a solid background in data engineering testing, ETL validation, and cloud-based data ecosystems.
Key Responsibilities
- Lead and manage data testing initiatives across projects involving Databricks and Talend pipelines
- Design, develop, and implement robust data validation frameworks and testing strategies
- Perform ETL/ELT testing, including source-to-target validation, data reconciliation, and transformation testing
- Collaborate with data engineers, analysts, and business stakeholders to ensure data accuracy and integrity
- Develop and maintain automated test scripts for large-scale data pipelines
- Validate data workflows in cloud environments (AWS/Azure/GCP) integrated with Databricks
- Ensure data quality through profiling, anomaly detection, and governance practices
- Lead defect management, root cause analysis, and resolution tracking
- Mentor and guide junior testers and ensure adherence to testing best practices
Required Skills & Qualifications
- 7+ years of experience in data testing / ETL testing
- Hands-on experience with Databricks (Spark, PySpark, SQL)
- Strong expertise in Talend ETL tools
- Proficiency in SQL and data validation techniques
- Experience with data warehousing concepts (Snowflake, Redshift, BigQuery, etc.)
- Familiarity with test automation frameworks for data pipelines
- Strong understanding of data quality, governance, and lineage
- Experience working in Agile/Scrum environments
Good to Have
- Experience with Python or Scala for data validation
- Knowledge of CI/CD pipelines (Jenkins, Azure DevOps, GitHub Actions)
- Exposure to big data ecosystems and distributed processing
- Certifications in Databricks or cloud platforms
Test Lead in Leeds employer: Careerwise
Contact Detail:
Careerwise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Test Lead in Leeds
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Databricks and Talend. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data testing projects, especially those involving ETL validation and cloud environments. 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 testing scenarios. Be ready to discuss your experience with automated test scripts and how you've ensured data quality in past roles. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Test Lead in Leeds
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Databricks and Talend in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your expertise in data testing and ETL validation!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences directly to what we’re looking for, especially in areas like cloud-based data ecosystems and data quality.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key achievements and relevant experiences shine through without unnecessary fluff.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Careerwise
✨Know Your Tools Inside Out
Make sure you brush up on your Databricks and Talend skills before the interview. Be ready to discuss specific projects where you've used these tools, and how you tackled challenges in data validation and ETL testing.
✨Showcase Your Data Testing Experience
Prepare to talk about your hands-on experience with data testing and ETL processes. Highlight any frameworks or strategies you've developed for data validation, and be ready to explain how you ensure data quality and integrity.
✨Collaborate Like a Pro
Since collaboration is key in this role, think of examples where you've worked closely with data engineers, analysts, or stakeholders. Discuss how you communicated findings and ensured everyone was on the same page regarding data accuracy.
✨Be Ready for Technical Questions
Expect some technical questions related to SQL, data warehousing concepts, and possibly even test automation frameworks. Brush up on your knowledge of cloud environments like AWS, Azure, or GCP, and be prepared to demonstrate your understanding of data governance practices.