NTT DATA Romania SA

Collaborate with stakeholders to gather and document requirements, advocate for OOTB solutions, translate business needs into user stories, and support testing and change management on the ServiceNow platform. | Bachelor’s degree, minimum 5 years experience in a similar role, strong knowledge of ServiceNow modules and OOTB capabilities, Agile experience, relevant certifications, and excellent communication skills. | Who we are   Our client is a leading provider of insurance and financial services in the UK. We are committed to innovation, customer-centricity, and delivering value through technology. Our ServiceNow platform is a key enabler of operational efficiency and digital transformation, and we’re continuously evolving it to meet the needs of our business and customers.   What you’ll be doing   Collaborating with stakeholders to gather, refine, and document requirements across various ServiceNow modules. Advocating for Out-of-the-Box (OOTB) capabilities to ensure scalable and maintainable solutions. Challenging proposed custom solutions when configuration can meet the same business need. Translating business requirements into clear user stories and acceptance criteria. Working across different areas of the ServiceNow platform to ensure consistency and alignment with best practices. Supporting testing, training, and change management activities related to platform improvements. Building strong relationships with engineering, product, and operational teams to ensure successful delivery.   What you’ll bring along   Bachelor’s degree in Computer Science, Engineering, or related field. Minimum 5 years of experience in a similar role. Solid understanding of ServiceNow’s Out-of-the-Box capabilities across multiple modules. Experience working in Agile environments with cross-functional teams. Ability to critically assess technical proposals and guide stakeholders toward optimal platform usage. Comfortable navigating and contributing across different areas of the ServiceNow platform. Strong analytical, communication, and stakeholder engagement skills. Experience in writing clear documentation, user stories, and process flows. ServiceNow Fundamentals or Business Analyst certification. Experience with ITSM, ITOM, SAM, or other ServiceNow modules. Familiarity with configuration vs. customisation principles in enterprise platforms. Excellent command of both spoken and written English.

Design, develop, deploy, and maintain cloud-based backend services for IoT devices, focusing on PKI and secure software updates. | 6+ years experience in cloud/backend development with AWS, PKI expertise, proficiency in Go/Python, Infrastructure as Code skills, and agile methodology experience. | Who we are  We are looking for Cloud/Backend Developer with focus on IoT, responsible for designing, developing, and maintaining the backend infrastructure that supports IoT devices and their data processing. This involves working with cloud platforms, databases, APIs, and other technologies to enable the functionality of IoT solutions.   What you'll be doing    Develop, deploy, and maintain robust cloud-based services as a core component of the Jungheinrich IoT Platform, collaborating within a self-organized and international team Spearhead the design, development, and operation of foundational services, with a strong emphasis on Public Key Infrastructure (PKI), to enable secure and reliable software updates for Jungheinrich industrial trucks Collaborate closely with cross-functional teams across product and platform domains to ensure seamless integration and alignment, particularly regarding security considerations Evaluate emerging (IoT) technologies and solutions, build prototypes, and contribute to the strategic decisions for our future platform and public-key infrastructure architecture Drive customer value by developing innovative features for our software products, while also ensuring the reliability and performance of existing systems through ongoing maintenance and operations Maintain a strong business and customer-centric mindset in all aspects of your work What you'll bring along      A University degree or advanced diploma in business or technical studies,e.g.,Business Administration,(Business) Informatics,etc.,ideally with a focus on logistics, or equivalent experience At least 6 years of experience on a similar position is required  You possess deep knowledge and extensive experience in designing, implementing, and operating cloud infrastructure, with a strong preference for AWS You are experienced in deploying and managing applications in cloud environments (preferably AWS), utilizing Infrastructure as Code practices with tools like CDK, Terraform, or Pulumi You have proven experience in the end-to-end design, implementation, and operation of a Public Key Infrastructure (PKI), including certificate management, key generation, and security best practices You possess strong proficiency in developing high-quality backend software using at least one major programming language (e.g., Go, Python, Kotlin) and demonstrate a willingness to learn and adopt new languages as needed You are a highly conscientious developer with a strong commitment to writing secure, maintainable, and well-tested code, adhering to high quality standards You embrace a culture of continuous improvement (CI/CD) and are skilled in monitoring and optimizing deployed solutions, with a focus on security and performance You are a collaborative team player who thrives in an open-minded, international, and multi-cultural environment, actively participating in code reviews and pairing sessions You have practical experience working with self-organized, agile methodologies such as Scrum or Kanban You possess a solid understanding of critical performance factors, scalability principles, concurrency management, and system complexity You are fluent in both spoken and written English A strong interest or affinity for IoT technologies and the automotive/vehicle industry is highly desirable

Collaborate in an international Agile team to design, implement, and document scalable software components. Develop and maintain cloud-native applications while ensuring software quality through automated tests and code reviews. | Candidates should have a Bachelor's degree or equivalent experience and a minimum of 5-10 years in a similar role. Strong development experience with Java and Spring Boot is essential, along with familiarity with CI/CD tools and API design. | Who we are   We don't have the fame, but we've got the flame. We are a distributed group of specialists within NTT DATA Romania, who make the best out of JVM-based technologies, creativity and business solutions. Referred to as Java Competence Center, we co-create and co-accelerate with key players in any field. Without being limited to any business unit, we demonstrated our deep Java development expertise by delivering SaaS platforms in various domains: Web Applications in e-Commerce, Automotive, Telco, Insurance, Banking and Public sector, even Big Data and scientific applications. Our current emphasis lies on PaaS solutions, with a specific focus on Docker, Kubernetes, Open Shift, AWS, and Cloud Foundry. With the increasing demand for Microservices projects, we have created a reference architecture for our major clients, researched various frameworks, and identified the ones that are highly sought after by the large enterprises we collaborate with.     We are supporting a major German insurance group in a project focused on the digital administration of pensions. The initiative involves agile development of new functionalities and continuous improvement using modern cloud-native technologies.     What you'll be doing     Collaborate in an international Agile team using Scrum and SAFe methodologies Analyze requirements and contribute to backlog planning with product owners Design, implement, and document scalable software components and system configurations Develop and maintain cloud-native applications using Java, Spring Boot Define and implement APIs and microservice interfaces Write and maintain automated tests to ensure software quality Participate in code reviews with a focus on architecture and non-functional requirements Support deployment processes using CI/CD tools like GitHub, Jenkins, and Spinnaker Continuously improve and maintain the software platform through bug fixing and feature development   What you'll bring along     Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or a related field Minimum 5-10 years of experience in a similar role within Agile environments Strong development experience with Java, Spring Boot Familiarity with Camunda is nice to have Knowledge of containerization and orchestration tools (e.g., Docker, Spinnaker) Experience with CI/CD pipelines using GitHub, Jenkins Solid understanding of API design and integration using RESTful services and API Management tools Experience with PostgreSQL and database modeling (ERM) Excellent communication skills in English, both written and verbal Experience in the insurance or pension administration domain is a plus Excellent command of both spoken and written English and German would be nice to have

Collect, process, and analyze large datasets, develop and maintain Power BI dashboards and reports, ensure data quality, collaborate with data engineers, and present insights to stakeholders. | Bachelor's degree, 3-5 years data analyst experience, proficiency in SQL, Excel, Python, Power BI, knowledge of Azure and Synapse, ETL and data engineering familiarity, and strong analytical skills. | Who we are   We are seeking an experienced and motivated Senior Data Analyst / Power BI Developer to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing large datasets to identify trends, patterns, and insights. This role involves developing and maintaining dashboards and reports using tools such as PowerBI, performing exploratory data analysis to uncover insights, and ensuring data quality and integrity through data cleansing, validation, and reconciliation.   What you'll be doing   Collect, process, and analyze large datasets to identify trends, patterns, and insights Develop and maintain dashboards and reports using tools such as PowerBI Perform exploratory data analysis to uncover insights and inform business decisions  Ensure data quality and integrity by implementing data cleansing, validation, and reconciliation Collaborate with data engineers to optimize data pipelines and workflows Create compelling data visualizations to communicate insights effectively to stakeholders Develop and maintain regular reports to monitor key performance indicators (KPIs) and business metrics Provide ad-hoc analysis and reporting as needed Work closely with business stakeholders to understand their data needs and requirements Translate business requirements into technical specifications for data analysis and reporting Present findings and recommendations to stakeholders in a clear and concise manner Identify opportunities for process improvements and automation within the data analysis workflow Stay up-to-date with industry trends and best practices in data analysis and BI Contribute to the development and implementation of data governance policies and procedures   What you'll bring along   Bachelor’s degree in Computer Science, Software Engineering or related field. Minimum of 3-5 years of experience as a Data Analyst or in a similar role Experience working on BI projects is highly desirable Proven track record of delivering accurate and actionable data insights Strong proficiency in data analysis tools and languages such as SQL and Excel Knowledge of Python (Pandas, Polars, etc.) Experience with data visualization tools such as PowerBI Solid understanding of data warehousing concepts and cloud platforms, especially Microsoft Azure and Synapse Strong analytical and problem-solving skills Ability to rapidly adapt and respond to changes in environment and priorities Familiarity with ETL processes and data engineering concepts Knowledge of Delta Lake and DataVault 2.0 Experience with ITIL and software as a service (SaaS) concepts Understanding of cloud architecture Excellent command of both spoken and written English.

Design, build, and optimize scalable data pipelines and models using Microsoft Fabric and Azure tools to support Agentic AI systems, while mentoring teams and ensuring data quality and governance. | 5-10 years of experience in Microsoft Azure data engineering, expertise with Microsoft Fabric, Data Factory, Synapse, SQL, Python, PowerShell, data modeling, governance, and relevant Microsoft certifications. | Who we are   Join our global Centre of Excellence as a subject matter expert (SME) for Agentic AI Services, collaborating with teams worldwide to drive innovation and excellence. As part of this central function, you will help shape, implement, and scale cutting-edge Agentic AI solutions across the organization and our clients   This hands-on role requires deep expertise in artificial intelligence, machine learning, and data to design, build, and deploy advanced Agentic AI-driven solutions tailored to clients' unique needs.   The Data Engineer is a highly skilled and deep subject matter expert responsible for architecting, developing, and optimizing data pipelines and transformations that prepare data for analysis and consumption by Agentic AI systems. This expert plays a pivotal role in delivering high-quality, organized, and reusable datasets through scalable data engineering practices, leveraging Microsoft Fabric and the broader Microsoft ecosystem to create a modern, AI-ready data environment.   This role analyzes diverse source systems and data structures, building robust data models and pipelines to support analytics, data science, and operational intelligence as the business evolves towards Agentic AI capabilities. Additionally, this role provides guidance, coaching, and mentorship to other data engineers and cross-functional teams.   What you'll be doing   Leads the design, implementation, and optimization of data pipelines using Microsoft Fabric, Azure Data Factory, Dataflows, and related Microsoft tools to ingest, transform, and deliver data fit for Agentic AI use-cases. Develops, automates, and maintains robust ETL/ELT processes that extract data from various sources—including on-premises and cloud—and integrate them into unified, structured formats within enterprise data lakes and warehouses. Analyzes business and technical requirements to design and develop scalable data models and data products supporting real-time, operational, and predictive analytics for Agentic AI adoption. Participates in translating conceptual and logical data models into efficient physical database schemas using Microsoft SQL, Azure Synapse, Microsoft Fabric Lakehouses, and related platforms, ensuring adherence to best practices and performance standards. Oversees migration and transformation of data between disparate systems (e.g., SAP, Oracle, Dynamics, SQL databases), ensuring secure, accurate, and reliable data provisioning for downstream AI workloads. Collaborates with business analysts, data architects, and AI/ML engineers to ensure seamless delivery of data assets optimized for advanced analytics and Agentic AI workflows. Defines, conducts, and oversees rigorous data validation and quality assurance processes, including the creation and execution of unit and integration test scenarios. Develops and maintains documentation for data pipelines, models, transformations, and migration activities, ensuring transparency and reproducibility. Advises on and implements data governance, metadata management, and lineage tracing in Microsoft Purview and Fabric, supporting compliance, discoverability, and readiness for AI. Identifies opportunities to automate data ingestion, transformation, and quality assurance tasks using scripting and modern orchestration practices. Coaches and mentors less experienced data engineers and collaborates across multidisciplinary teams to foster a culture of modern data engineering and readiness for Agentic AI enablement.   What you'll bring along   Bachelor’s degree or equivalent in Computer Science, Software Engineering, Information Technology, or a related quantitative/engineering field. Minimum 5-10 years of experience designing, building, and optimizing modern data solutions in Microsoft Azure, especially with Microsoft Fabric, Data Factory, and Synapse. Relevant Microsoft certifications (e.g., Azure Data Engineer Associate, Microsoft Certified: Fabric Analytics Engineer) are highly regarded. Other related certifications in data engineering platforms/tools are a pl Deep expertise in data pipeline creation, transformation, and automation using Microsoft Fabric, Azure Data Factory, Power Query, Synapse Analytics, and Microsoft SQL-based solutions. Excellent understanding of modern data engineering practices, including data lakehouse architectures, ETL/ELT design, and data modeling in the context of preparing data for AI systems. Strong grasp of both logical and physical data modeling concepts, with experience implementing schemas that optimize data utilization by analytics and AI platforms. Analytical mindset with robust problem-solving abilities, capable of translating business requirements into scalable data engineering solutions. Demonstrated programming skills in SQL, Python, PowerShell, and (where relevant) Dataflow/Spark languages within the Microsoft data engineering ecosystem. Familiarity with data governance, lineage, and quality assurance practices in Microsoft Purview and related Microsoft tools. Expertise with multiple database types, including Azure SQL, Fabric Lakehouse, Azure Data Lake, and third-party sources (SAP, Oracle, etc.). Experience with real-time and batch data processing, scaling data pipelines to support high-volume/complex analytics requirements. Skilled in mentoring and guiding less experienced team members to adopt best-in-class cloud data engineering and tools. Demonstrated experience in ingesting, transforming, and structuring data from large and complex, multi-terabyte data sources for analytics and AI/ML applications. Proven success in automating and scripting data pipelines (Python, PowerShell, SQL, etc.) for scalable, repeatable ingestion and transformation both on-premises and in cloud. Experience with various database and data warehouse platforms (Azure SQL, Fabric Lakehouse, SAP, Oracle, etc.) and integrating, migrating, and validating data across applications. Familiarity with big data tools (Hadoop, Spark) as integrated within the Microsoft Azure ecosystem is preferred. Experience with end-user tools such as Power BI and Excel (pivots, macros) and supporting quality assurance for downstream reporting and analytics. Track record of supporting enterprise migration to AI-driven analytics solutions and mentoring teams in adopting modern Microsoft data engineering practices. Excellent command of both spoken and written English.