Software House

Software Engineer (m/f/x) – SAP Development

Are you passionate about SAP development and ready to take part in exciting,
-
- end projects? At ACT Digital, we’re looking for a Software Engineer (m/f/x) to join our team in Porto and help shape the future of our SAP landscape.

Responsibilities

• Participate in the full development lifecycle: design, programming, testing, and
  - live
• Evolve and support SAP FI/CO and SD/MM modules (including
  - level support)
• Independently prepare projects for implementation
• Collaborate on the integration of new technologies into a complex SAP system landscape

Backend Software Engineer – EV Charging Infrastructure

ABOUT I-CHARGING:
- charging is a technology company focusing on electric vehicle charging infrastructure. We have
- house developed offer, based on the deep knowledge of the sector, both on technology and market. We develop innovative hardware and software solutions that optimize our customer’s operations, smooth user experience and the electric grid utilization. We want to be a global reference in the
- mobility sector, providing a distinctive offer and generating value for the community.

Responsibilities

• Requirements analysis and definition of software specifications
• Definition of software architecture and design
• Software development using programming languages, frameworks and applicable tools
• Unit, integration and systems testing and validation
• Support to produce product documentation
• Use of implemented product development process
• Use of the IT systems implemented in the company
• Participation in the definition of tasks effort
• Support Service and Production departments, and customers

Interactions & Interfaces

• Internally, for product development, will interact with hardware R&D and Product Engineering teams
• Internally will interact with commercial, marketing and operations departments for product support
• Reports to Systems Software R&D Coordinator

Skills & Competencies

• Academic background in Engineering or similar (Software, Electronics, Computer Science, etc. )
• Knowledge of software development
• Knowledge of distributed systems
• Knowledge of microservices architectures
• Knowledge of Communication Networks and protocols
• Knowledge of design and use of databases
• Knowledge of Python, C/C++ programming languages
• Knowledge of SQL and No
  SQL Databases
• Knowledge of docker and kubernetes; cybersecurity is a plus
• Proficiency in English is a must (at least B2 - spoken and written)
• Ability to work effectively in a team environment and build strong working relationship
• Good communication and organizational skills

QA Software Engineer – EV Charging Systems

ABOUT I-CHARGING:
- charging is a technology company focusing on electric vehicle charging infrastructure. We have
- house developed offer, based on the deep knowledge of the sector, both on technology and market. We develop innovative hardware and software solutions that optimize our customer’s operations, smooth user experience and the electric grid utilization. We want to be a global reference in the
- mobility sector, providing a distinctive offer and generating value for the community.

Responsibilities

• Setup and maintain robust test environments to support continuous testing and integration
• Analyze requirements, specifications, and system architectures to identify optimal test strategies
• Define and document comprehensive test cases and scenarios
• Design, develop, and maintain automated test suites following industry best practices
• Apply test automation tools and frameworks to ensure scalable, reliable validation
• Execute manual and automated tests to validate product functionality and performance
  Contribute to product and project documentation with a focus on clarity and accuracy
• Collaborate closely with Operations and Customer Support to resolve issues and enhance product quality

Interactions & Interfaces

• Software R&D, Hardware R&D, and Product Engineering teams to ensure quality throughout development
• Operations teams to support production and deployment activities
• Marketing to ensure product documentation aligns with the latest updates
• You will report directly to the QA Software R&D Coordinator

Skills & Competencies

• Degree in Software Engineering, Computer Science, Electronics or related fields
• Experience with test automation frameworks and scripting
• Familiarity with industrial communication networks and protocols is a plus
• Hands‑on experience with Linux environments
• Understanding of agile methodologies
• Knowledge in cybersecurity is a plus
• Experience with tools such as Playwright, Postman, or Cypress is highly valued
• Proficiency in English (B2 or above), both written and spoken
• Excellent teamwork,
  - solving, and communication skills

Work from Home Lead Data Software Engineer – Data Engineering

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! :)

Key Responsibilities

• 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 problem‑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

Benefits

• Professional 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 top‑tier clients that include Fortune 500 enterprises and leading product brands.
• Flextime – Tailor your schedule for an optimal work‑life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
• Other perks – Casual, friendly environment, health insurance, and more.