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- Tasks: Join us as a Data Automation Tester, designing and maintaining automated testing frameworks.
- Company: Work with a forward-thinking client 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 data quality and 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 where everyone can thrive.
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 with large data sets and automated testing frameworks. Engaging with them on platforms like LinkedIn can provide insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous experiences in detail, particularly any projects where you designed and implemented automation frameworks. Be ready to explain your thought process and the impact of your work on data quality and validation.
✨Tip Number 4
Showcase your understanding of Agile and Waterfall methodologies during interviews. Being able to articulate how you've applied these methodologies in past roles will demonstrate your adaptability and readiness for a collaborative environment.
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 demonstrate your fit for the role.
Craft a Strong Cover Letter: In your cover letter, explain why you're passionate about data automation testing. Mention specific projects or experiences that showcase your skills in designing and implementing automated testing frameworks.
Showcase Technical Skills: Emphasise your proficiency with large data sets, SQL, and ETL processes. 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, mention any past experiences where you successfully collaborated with cross-functional teams to identify and resolve 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 Python or similar languages. Be prepared to discuss specific projects where you've implemented data quality checks and ETL processes.
✨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 will demonstrate your capability in this role.
✨Communicate Effectively
Strong communication skills are essential for this position. Practice articulating complex technical concepts clearly, as you'll need to engage with various stakeholders, including senior management.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities in real-world scenarios. Think about past experiences where you identified issues early in the development process and how you addressed them.
