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- Tasks: Design and implement automated testing frameworks for data quality and ETL processes.
- Company: Join a forward-thinking company committed to diversity and inclusion in the tech industry.
- Benefits: Enjoy hybrid working with remote flexibility and a supportive work culture.
- Why this job: Be part of a dynamic team ensuring top-notch software quality while making a real impact.
- Qualifications: Experience in automation frameworks, Python, SQL, and large data sets is essential.
- Other info: We value authenticity and strive for an inclusive workplace for all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
Data Test Automation Engineer is required by my client to work on a large scale Data Program. This client offers hybrid working, which will be mainly remote based with flexibility to be onsite in London (City) on an ad-hoc basis.
The role:
To be considered you must be a Test Automation Analyst/Engineer with strong technical data skills as you will be playing a pivotal role in the design, implementation and maintenance of automated testing frameworks for data quality validation, ETL processes, data mapping and reconciliations. You will work closely with development, product and operations teams to identify potential issues early in the development process and ensure that the software meets the highest standards before release. This role demands a strong focus on automated data validation, a deep understanding of software architecture, and the ability to work in a fast-paced, collaborative environment. You will be responsible for designing and building scalable automation frameworks for validating data quality, data transformations, mappings, ETL workflows, and reconciliation logic. You will also be required to interpret specifications, data models, and mapping documents to design and develop automated data validation scripts.
Essential experience:
- Proven experience in designing and implementing automation frameworks for data quality checks, data mappings, transformations, ETL processes, and reconciliation scripts using Python or equivalent programming languages.
- Proficiency in working with large data sets in XML, JSON, and CSV formats to validate data transformations and mappings.
- Strong knowledge of databases, SQL, ETL processes, and data warehousing concepts.
- Ability to interpret specifications, data maps, data models, and automated data conditions and validations.
- Solid experience in data preparation, input data feed analysis, developing test cases and executing tests for System Testing, System Integration, Functional, Regression and UAT phases for each release iteration.
- Strong programming skills for querying and validating data using SQL and scripting.
- In-depth understanding of relational databases, data warehousing concepts, and ETL tools/processes.
- Knowledge of Azure DevOps (ADO), Jira and other test management tools, Agile and Waterfall methodologies, and wider test governance adherence.
- Strong communication skills; able to engage with senior stakeholders and work with a proactive, self-starting attitude.
This is a great opportunity, please send your CV in the first instance and if relevant you will be contacted with full role and company information.
We are passionate about promoting diversity, inclusion, and equality, and are committed to working with clients who share our outlook. We offer equal opportunities to all candidates regardless of background, identity, sexuality, and disability. We strive to create inclusive cultures where diversity is seen as real value for the company. Our mission is for everyone to feel empowered to be their true authentic selves at work.
Data Automation Tester employer: Logic Engagements
Contact Detail:
Logic Engagements Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Automation Tester
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python, SQL, and ETL processes. Having hands-on experience or projects that showcase your skills in these areas can significantly boost your chances.
✨Tip Number 2
Network with professionals in the data automation field, especially those who work in similar roles. Engaging with them on platforms like LinkedIn can provide insights into the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 3
Prepare to discuss your previous experiences with automated testing frameworks and data validation. Be ready to share specific examples of challenges you faced and how you overcame them, as this demonstrates your problem-solving abilities.
✨Tip Number 4
Showcase your understanding of Agile and Waterfall methodologies, as well as your experience with tools like Azure DevOps and Jira. Being able to articulate how you've applied these methodologies in past projects can set you apart from other candidates.
We think you need these skills to ace Data Automation Tester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with automation frameworks, data quality checks, and relevant programming languages like Python. Use keywords from the job description to ensure your application stands out.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about data automation testing. Mention specific projects or experiences that demonstrate your skills in designing and implementing automated testing frameworks.
Showcase Technical Skills: Clearly outline your technical skills related to SQL, ETL processes, and data warehousing concepts. Provide examples of how you've used these skills in previous roles to validate data transformations and mappings.
Highlight Collaboration Experience: Since the role involves working closely with development and product teams, emphasise your experience in collaborative environments. Share examples of how you've engaged with stakeholders to identify issues early in the development process.
How to prepare for a job interview at Logic Engagements
✨Showcase Your Technical Skills
Make sure to highlight your experience with automation frameworks, especially in data quality checks and ETL processes. Be prepared to discuss specific projects where you've implemented these skills, as this will demonstrate your technical proficiency.
✨Understand the Data Landscape
Familiarise yourself with the types of data formats mentioned in the job description, such as XML, JSON, and CSV. Being able to discuss how you’ve worked with large datasets and validated data transformations will set you apart from other candidates.
✨Communicate Effectively
Strong communication skills are essential for this role. Practice articulating complex technical concepts in a way that is easy to understand. This will be crucial when engaging with senior stakeholders and collaborating with different teams.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about challenges you've faced in previous roles related to data validation and how you overcame them. This will showcase your proactive attitude and ability to work in a fast-paced environment.
