Qa - Manual (Global Remote | Contract | Saas)
Customer Support with German - work from home
1000 Lisboa, Lisboa Recruityard
This is a remote position.
This is a remote position.
Location: Portugal (Relocation Support Provided) Workload: Full-Time Position Overview: We are currently looking for German-speaking Customer Support Agents to join a- growing team. This is an exciting opportunity to work with leading global brands in the digital advertising space, supporting
- value clients and helping them grow their presence online. Main Responsibilities: - Provide support to
- level clients via chat, email, and phone. - Assist customers with the
- serve advertising platform and related tools. - Deliver
- and
- sales support for digital advertising products. - Troubleshoot and resolve technical issues, such as bugs or delivery errors. - Communicate updates and resolutions to clients in a timely and professional manner. - Identify opportunities for customers to enhance their advertising performance. - Gather client feedback and share product insights to improve user experience. Candidate Profile: - Fluency in German (mandatory) and proficient English. - Strong communication,
- solving, and interpersonal skills. - Basic technical proficiency and computer skills. - Ability to manage multiple tasks in a
- paced environment. - A team player with a proactive and
- oriented mindset. - Previous experience in customer support or digital marketing is valued but not required. Compensation & Benefits Package: - Competitive monthly salary - Performance-based bonuses - Health insurance and employee discounts - Meal allowance - Relocation support (for candidates moving from within Europe) - Full training provided and paid - Real career progression opportunities in a leading industry Why Apply? - Join a
- established and reputable company in the customer experience sector. - Work with globally recognized brands in an exciting and innovative field. - Enjoy a dynamic and multicultural team environment. - Build your career with ongoing training and advancement potential. - Benefit from a competitive compensation and relocation package. If you're fluent in German , passionate about digital solutions, and eager to take the next step in your career, we’d love to hear from you! By applying, you are giving your GDPR consent for your CV and personal details to be processed for recruitment purposes.
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Work from Home Lead Data Software Engineer
Agile
Engine is a
- ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the
- growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)
What you will do
Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals;
Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment;
Collect, process, and prepare large datasets for analysis, feature engineering, and model training;
Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models;
Optimize data storage, retrieval, and processing performance for ML workloads;
Develop and maintain ETL (Extract, Transform, Load) processes and workflows;
Manage data versioning, storage, and access control for ML datasets;
Collaborate with Dev
Ops and IT teams to ensure smooth deployment and scaling of ML models in production environments;
Stay
-
- date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.
Must haves
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field;
Proven experience as a Data Engineer, preferably in a role supporting Data Scientists;
Strong proficiency in programming languages such as Python, Java, or Scala;
Proficiency with data storage and processing technologies, including SQL databases, No
SQL databases, and distributed computing frameworks (e. g. , Hadoop, Spark);
Experience with data warehousing solutions and data integration tools;
Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc;
Knowledge of ML frameworks (e. g. , Tensor
Flow, Py
Torch) and ML model deployment;
Familiarity with cloud platforms (e. g. , AWS, Azure, Google Cloud) and containerization (e. g. , Docker, Kubernetes);
Excellent
- solving skills and a collaborative mindset;
Excellent oral and written communication skills with a keen sense of customer service.
Nice to haves
Experience in ad/marketing environment
Experience working with Data Lakes
Experience with Scala
Experience with Glue/EMR/Redshift/Airflow
Experience with Terraform.
The benefits of joining usAgile
Engine is a
- ranking provider of software solutions to Fortune 500, Global 500, and Future 50 companies. Listed on Inc. 5000 among the
- growing US companies, we are always open to talented software, UX, and data experts in the Americas, Europe, and Asia.
If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment daily, there’s no better place — guaranteed! :)
What you will do
Collaborate closely with Data Scientists to understand their data requirements, model development needs, and performance optimization goals;
Design, build, and maintain scalable data pipelines and infrastructure to support ML model development and deployment;
Collect, process, and prepare large datasets for analysis, feature engineering, and model training;
Implement data quality checks, validation, and monitoring to ensure the reliability and accuracy of data used in ML models;
Optimize data storage, retrieval, and processing performance for ML workloads;
Develop and maintain ETL (Extract, Transform, Load) processes and workflows;
Manage data versioning, storage, and access control for ML datasets;
Collaborate with Dev
Ops and IT teams to ensure smooth deployment and scaling of ML models in production environments;
Stay
-
- date with emerging technologies, tools, and best practices in data engineering and ML infrastructure.
Must haves
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field;
Proven experience as a Data Engineer, preferably in a role supporting Data Scientists;
Strong proficiency in programming languages such as Python, Java, or Scala;
Proficiency with data storage and processing technologies, including SQL databases, No
SQL databases, and distributed computing frameworks (e. g. , Hadoop, Spark);
Experience with data warehousing solutions and data integration tools;
Experience with data pipeline and workflow management tools: AWS glue, Airflow, etc;
Knowledge of ML frameworks (e. g. , Tensor
Flow, Py
Torch) and ML model deployment;
Familiarity with cloud platforms (e. g. , AWS, Azure, Google Cloud) and containerization (e. g. , Docker, Kubernetes);
Excellent
- solving skills and a collaborative mindset;
Excellent oral and written communication skills with a keen sense of customer service.
Nice to haves
Experience in ad/marketing environment
Experience working with Data Lakes
Experience with Scala
Experience with Glue/EMR/Redshift/Airflow
Experience with Terraform.
The benefits of joining usProfessional growth
Accelerate your professional journey with mentorship, Tech
Talks, and personalized growth roadmaps.
Competitive compensation
We match your
- growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.
A selection of exciting projects
Join projects with modern solutions development and
- tier clients that include Fortune 500 enterprises and leading product brands.
Flextime
Tailor your schedule for an optimal
- life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
- Informações detalhadas sobre a oferta de emprego
Empresa: Passion Localização: Lisboa
Lisboa, Lisboa, PortugalPublicado: 29. 11. 2025
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