The software QA engineer will be responsible for ensuring high-quality digital products by maintaining user-focused testing. Collaborating with teams, you will plan, report defects, and design test cases to enhance project quality from start to finish. You will gain exposure to various projects and multinational brands.

The Senior Data Engineer at Wizeline will leverage their expertise in SQL, Spark, and Python to support data solutions. Responsibilities include working with Databricks and implementing CI/CD practices. The role involves building high-quality digital capabilities for clients by solving challenges through data-driven insights.

This role involves developing, enhancing, and maintaining automated test frameworks for UI, API, and integration testing using Python and SQL. The candidate will collaborate with software engineers to ensure product quality, participate in design discussions, and lead efforts in converting manual tests to automated frameworks, all within an Agile methodology.

The Functional QA role at Wizeline involves participating in agile projects to ensure quality through test cycle activities like planning, scenario design, and defect tracking, primarily focusing on mobile devices and utilizing tools such as Appium, Cucumber, and Selenium.

The Pre-Sales Specialist will manage RFx responses, ensuring key team members deliver professional client-focused documentation. Responsibilities include project management, customizing responses, and preparing for client presentations. The role requires exceptional attention to detail and collaboration across functions.

As a Senior Data Analyst at Wizeline, you'll utilize advanced SQL and data analytics skills to support the development and delivery of digital products. Your responsibilities include managing stakeholder needs, conducting data validation, and leading initiatives to enhance data processes, while leveraging tools such as Databricks and data visualization tools like Tableau and Power BI.

Wizeline is seeking a Senior Data Analyst with expertise in SQL and advanced data analysis skills. Responsibilities include pulling complex data, data validation, and collaboration with stakeholders. Proficiency in data visualization tools, Snowflake, and AWS is essential. A collaborative attitude and excellent communication are required for storytelling through data.

As an iOS Software Engineer, you will design and develop advanced applications for the iOS app framework, make architecture and UX decisions, promote your application to users, and implement best practices in a growing company. You will also require proficiency in Swift and Java/Kotlin, with at least five years of experience in iOS development, and a strong ability in testing and communication.

The Senior Data Engineer will analyze complex business problems using internal and external data, support stakeholders in platform adoption, maintain source to target mapping documentation, validate data quality, and work with business and product teams to outline requirements for engineering stories.

The Project Manager at Wizeline will coordinate activities for the Engineering Director, manage project agendas, and present data analysis indicators. Strong communication and project management skills are essential, along with a proficiency in English and data analysis.

As an iOS Software Engineer at Wizeline, you will design and develop advanced applications for the iOS framework, make architecture and UX decisions, and promote your apps to users. You will also set coding standards and support app usage on a massive scale.

The iOS Staff Software Engineer at Wizeline is responsible for leading and mentoring teams in developing native mobile applications. The role requires strong programming skills, particularly in Swift and iOS SDK, along with project management capabilities and collaboration across product and design teams to deliver high-quality digital products.

The Internal Communications & Engagement Specialist at Wizeline will promote a strong company culture through effective internal communication strategies. Responsibilities include creating engaging communication assets, analyzing engagement data, collaborating with teams, and organizing internal events to enhance employee engagement.

The Technical Writer will collaborate with Engineering, Design, and Product Management teams to create high-quality documentation, including user manuals and developer guides. Responsibilities include enhancing existing documentation and gathering user feedback to ensure clarity and completeness.

As a Senior QA Automation Engineer, you will ensure high-quality software by maintaining user-focused testing practices, collaborating with cross-functional teams, and leading improvements throughout projects. You will leverage a variety of programming languages and testing frameworks to enhance the reliability of applications used by millions.

As a Software Engineer specialized in GraphQL at Wizeline, you will leverage your advanced skills in GraphQL, Node.js, and Typescript to build and deliver high-quality digital products. Your role will involve solving challenges for clients through innovative solutions and contributing to a diverse and inclusive team culture.

The Technical Writer will be responsible for creating documentation proposals, aligning with stakeholders to gather their requirements, and ensuring the documentation aligns with governance standards. The role focuses on building sustainable documentation models that meet various needs.

The Data Engineer will build and optimize large-scale data engineering solutions focusing on analytics and reporting, design and implement ETL processes, and develop cloud-scalable data lake solutions. Candidates need strong programming skills, particularly in Python and experience with SQL, Spark, and cloud services.

The Data Scientist will focus on optimizing data science practices, applying MLOps culture, and specializing in recommended systems, graphs, and image recognition, while also demonstrating excellent communication skills.

As a Senior Data Engineer at Wizeline, you'll leverage technologies like Python, Databricks, and Microsoft Azure to engineer and process large datasets. Responsibilities include building CI/CD pipelines, ensuring data quality, and potentially developing within the .NET framework. Collaboration across teams will be essential to meet client needs in a fast-paced environment.