Description
We are looking for a highly motivated Cloud Architect (gn).
We are seeking a highly skilled and experienced Team Architect to lead our Augmented Analytics team. The position is available immediately at our headquarters in Hasselt, Belgium, available on a full-time basis.
As the Team Architect, you will play a crucial role in shaping and implementing the technical vision, strategy, and architecture for our cutting-edge augmented analytics solutions. This role requires a deep understanding of machine learning techniques, a proven track record in architecting complex systems, and the ability to lead a talented team of data scientists and engineers.
What we expect
- Utilize proven experience to design and build robust microservices and cloud-native platforms that align with our business objectives and scalability requirements.
- Apply knowledge of software engineering best practices, including Test-Driven Development (TDD), Domain-Driven Design (DDD), SOLID principles, and other industry-standard methodologies.
- Demonstrate expertise in machine learning, streaming, time-series, and big data analytics, leveraging this knowledge to contribute to the enhancement of our data-driven decision-making capabilities.
- Display a strong eagerness to learn modern technologies and actively share your expertise with the team, fostering a collaborative and innovative work environment.
- Exhibit a deep passion for software development, innovation, and creative thinking, driving excellence in both individual and team contributions.
- Act as a team player, promoting a positive and collaborative attitude while working towards achieving shared goals and delivering results.
- Demonstrate the ability to work autonomously, taking initiative and ownership of assigned tasks and projects.
- Showcase a broad interest in technologies, staying abreast of industry trends and exploring new tools and frameworks that may benefit the team and the organization.
- Be very fluent in English, and knowing other languages is a plus, facilitating effective communication within a diverse and global team.
- Experience with some other technologies in our product portfolio is advantageous, particularly in Kubernetes, Java, Spring Boot, Angular, Golang, Python, NET/C#, or similar technologies.
In return, we offer you
- A competitive compensation package including a company car
- Flexible working hours and attention to work/life balance
- Your choice of laptop (Windows, Linux, Mac)
- Meal vouchers
- Hospitalization insurance (DKV)
- Group insurance
- An open-minded culture where you can ‘be your best you’
- Personal Learning and Development budget and guidance
- Company managed and external training opportunities
- Exciting and challenging initiatives and projects and the possibility to make a real difference
- The opportunity to join a visionary technical innovator and work with state-of-the-art tools
- A great office at Corda in Hasselt
- A 60% remote work policy
Your Role
- As a key member of our team, you will report directly to the Engineering Manager, playing a pivotal role in our collective effort to foster growth and enhance our platform.
- Architect scalable, reliable, and high-performance machine learning solutions for augmented analytics applications.
- Design end-to-end machine learning pipelines that encompass data ingestion, feature engineering, model training, and deployment.
- Collaborate closely with cross-functional teams, including data scientists, engineers, product managers, and business stakeholders to understand requirements and translate them into technical solutions.
- Collaborate closely with the team, serving as a source of inspiration and actively contributing to the professional development of your colleagues.
- Take a lead role in defining and refining the team’s technical workflow, ensuring efficiency and adherence to best practices in alignment with our overarching objectives.
- Champion the integration of DevOps best practices into the team’s mindset, promoting a culture of continuous improvement and streamlined collaboration.
- Assume the role of a technical coach for your peers, leveraging your expertise to elevate the overall technical capabilities of the team.
- Play a crucial part in shaping the architecture of our platform by actively contributing to the definition process in collaboration with our Chief Architect, ensuring a cohesive and forward-thinking technical foundation for our endeavours.
- Identify opportunities for innovation and research to enhance the capabilities of our augmented analytics solutions.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
- 8+ years of experience in architecture, design, and implementation of analytics solutions.
- Proficient in programming languages such as Python AND Java.
- Deep knowledge of machine learning frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, scikit-learn).
- Strong expertise in data modelling, ETL processes, and data warehousing.
- Proficiency in selecting and implementing analytics and business intelligence tools.
- Experience with machine learning integration into analytics platforms is a plus.
- Solid understanding of cloud platforms (e.g., AWS, Azure, GCP) and their analytics services.
- Excellent problem-solving and communication skills.
- Previous experience leading and mentoring teams.
About Proemion
Founded in 2008 as a spin-off from the University of Leuven, TrendMiner develops discovery, diagnostic & predictive analytics solutions for the process manufacturing industry. Our cross-functional agile development teams are developing an innovative big data analytics product for the process industry. As of 2018, TrendMiner is part of the Software AG company to consolidate its leading position in the rapidly growing IoT (Internet of Things) market. TrendMiner is growing fast, so we are always on the lookout for ambitious and enthusiastic new talent.
TrendMiner is an equal opportunity employer. All applicants will be considered for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, or disability status.
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