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Natobotics

Natobotics

www.natobotics.com

38 Jobs

53 Employees

About the Company

Natobotics Ltd founded in 2012, provides boutique technology, digital customer experience, consulting and software development services. Over the years we had been supporting our clients in the areas of cloud transformation, Big data & Analytics, Digital Journey, Machine Learning and Platforms.

Listed Jobs

Company background Company brand
Company Name
Natobotics
Job Title
Technology Architect – Data Engineering
Job Description
Job Title: Technology Architect – Data Engineering Role Summary: Lead the design and delivery of data engineering solutions using Medallion architecture on Azure. Own end‑to‑end technical architecture, create data models, optimize transformations, and guide the engineering team through development, testing, and deployment. Expectations: • 6‑month contract with hybrid work (12 days WFO/month). • Deliver architecture designs, performance optimizations, and CI/CD pipelines. Key Responsibilities: 1. Design and document technical architecture using Medallion principles and Azure services. 2. Produce conceptual diagrams, source‑to‑target mappings, and dimensional data models. 3. Mentor and lead a data engineering team in ADF, Databricks, PySpark, Python, JSON, and YAML development. 4. Implement performance tuning and data transformation optimization strategies. 5. Build and maintain CI/CD pipelines using GitHub Workflows to deploy code artifacts. 6. Collaborate with stakeholders and cross‑functional teams to align on requirements and solutions. 7. (Optional) Develop and maintain Log Analytics dashboards and KQL queries. Required Skills: * 10+ years of data engineering experience. * Hands‑on expertise in PySpark, Azure Data Factory (ADF), Databricks, and SQL. * Strong knowledge of dimensional modeling, normalization, schema design, and data harmonization. * Proficiency with data modeling tools such as Erwin. * Ability to create clear technical documentation and diagrams. * Excellent communication, problem‑solving, and client‑facing skills. Required Education & Certifications: * Bachelor’s degree in Computer Science, Information Systems, or a related field (or equivalent professional experience).
London, United kingdom
On site
Senior
17-09-2025
Company background Company brand
Company Name
Natobotics
Job Title
Cobol Developer
Job Description
**Job Title:** Cobol Developer **Role Summary:** Develop, test, and maintain Cobol applications for employee benefits systems, focusing on system integration, performance optimization, and digital transformation. **Expectations:** - Higher education in IT (or equivalent practical experience with Cobol proficiency) - Proficiency in Dutch and English; French preferred - 3+ years in insurance/IT systems development **Key Responsibilities:** - Maintain/write/test Cobol applications to meet business needs and technical requirements - Prepare technical analyses (e.g., UML) for system integration and optimization - Support test environment setup and user testing, addressing results for resolution - Act as technical liaison for users during system implementations - Ensure application reliability and drive process/technical improvements **Required Skills:** - Advanced Cobol programming and mainframe environment expertise - UML modeling for technical documentation (preferred) - Jira/Zephyr for issue tracking and testing - Agile methodology and test-driven development practices **Required Education & Certifications:** - Bachelor’s degree in IT/Computer Science or equivalent practical experience with demonstrable Cobol skills
Brussels, Belgium
On site
18-09-2025
Company background Company brand
Company Name
Natobotics
Job Title
Business Analyst with Banking Experience
Job Description
Lincoln, United kingdom
On site
Junior
18-09-2025
Company background Company brand
Company Name
Natobotics
Job Title
AI Engineer
Job Description
**Job Title:** AI Engineer **Role Summary:** Design, develop, and deploy end‑to‑end AI/ML solutions, ensuring model robustness and privacy compliance across multi‑cloud environments. Lead technical guidance and training for the team while communicating complex concepts to diverse stakeholders. **Expactations:** - 8–10 years of relevant experience. - Proven expertise in AI/ML engineering and privacy considerations. - Ability to work hybrid (3 days onsite) for a 12‑month contract. **Key Responsibilities:** - Architect, build, and operationalize AI/ML models from data ingestion to production. - Conduct adversarial testing and robustness evaluations to ensure model security. - Implement privacy‑preserving techniques and ensure compliance with data protection standards. - Leverage GCP (mandatory) and other cloud platforms for scalable model deployment. - Provide technical leadership, mentor team members, and deliver training on model training best practices. - Translate technical and privacy concepts into clear communication for non‑technical stakeholders. **Required Skills:** - Strong background as an AI, Machine Learning, or Privacy Engineer. - Proficiency in Python (preferred). - Experience with deep‑learning frameworks: TensorFlow, PyTorch, or JAX. - Hands‑on experience with multi‑cloud environments; GCP expertise required. - Demonstrated ability in adversarial testing and model robustness assessment. - Excellent analytical, problem‑solving, and communication skills. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or a related field (Master’s preferred). - Relevant certifications (e.g., Google Cloud Professional Machine Learning Engineer, TensorFlow Developer Certificate) are a plus.
London, United kingdom
On site
26-09-2025
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