דרושים Det-software Engineer-gdsf02 ב-Ey ב-India, Bengaluru

Role Overview:

We are seeking a highly skilled and experiencedwith a minimum of 4 years of experience in Data Science and Machine Learning, with a strong focus on NLP, Generative AI, LLMs, MLOps, Optimization techniques, and Agentic AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI Agents, workflows and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Key Responsibilities:

• Design and implement state-of-the-art Agentic AI solutions tailored for the financial and accounting industry.
• Develop and implement AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI to solve industry-specific challenges.
• Collaborate with stakeholders to identify business opportunities and define AI project goals within the financial and accounting sectors.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, Agents and evaluate their potential applications in financial and accounting contexts.
• Utilize generative AI techniques, such as LLMs and Agentic Framework, to develop innovative solutions for financial and accounting use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for financial and accounting use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Qualifications & Skills:

• Education – Bachelor’s/Master’s in Computer Science, Engineering, or related field (Ph.D. preferred).
• Experience – 4+ years in Data Science/Machine Learning with proven end-to-end project delivery.
• Technical Expertise – Strong in ML, deep learning, generative AI, RAG, and agentic AI design patterns.
• Programming Skills – Proficient in Python (plus R), with hands-on experience in TensorFlow, PyTorch, and modern ML/data stacks.
• GenAI Frameworks – Experience with LangChain, LangGraph, Crew, and other agentic AI frameworks.
• Cloud & Infrastructure – Skilled in AWS/Azure/GCP, containerization (Docker, Kubernetes), automation (CI/CD), and data/ML pipelines.
• Data Engineering – Expertise in data curation, preprocessing, feature engineering, and handling large-scale datasets.
• AI Governance – Knowledge of responsible AI, including fairness, transparency, privacy, and security.
• Collaboration & Communication – Strong cross-functional leadership with ability to align technical work to business goals and communicate insights clearly.
• Innovation & Thought Leadership – Track record of driving innovation, staying updated with latest AI/LLM advancements, and advocating best practices.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Deep knowledge of classical AIML (regression, classification, time series, clustering).
• Drive DevOps and MLOps practices, covering CI/CD and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

KEY Capabilities:

• Experience in working with Splunk Enterprise, Splunk Enterprise Security & Splunk UEBA
• Minimum of Splunk Power User Certification
• Good knowledge in programming or Scripting languages such as Python (preferred), JavaScript (preferred), Bash, PowerShell, Bash, etc.
• Assist in remote and on-site gap assessment of the SIEM solution.
  • Work on defined evaluation criteria & approach based on the Client requirement & scope factoring industry best practices & regulations
  • Assist in interview with stakeholders, review documents (SOPs, Architecture diagrams etc.)
  • Asist in evaluating SIEM based on the defined criteria and prepare audit reports
• Good experience in providing consulting to customers during the testing, evaluation, pilot, production and training phases to ensure a successful deployment.
• Experience in onboarding data into Splunk from various sources including unsupported (in-house built) by creating custom parsers
  • Verification of data of log sources in the SIEM, following the Common Information Model (CIM)
  • Experience in parsing and masking of data prior to ingestion in SIEM
  • Provide support for the data collection, processing, analysis and operational reporting systems including planning, installation, configuration, testing, troubleshooting and problem resolution
  • Assist clients to fully optimize the SIEM system capabilities as well as the audit and logging features of the event log sources
  • Assist client with technical guidance to configure their log sources (in-scope) to be integrated to the SIEM
• Experience in SIEM content development which includes :
  • Hands-on experience in development and customization of Splunk Apps & Add-Ons
  • Builds advanced visualizations (Interactive Drilldown, Glass tables etc.)
  • Build and integrate contextual data into notable events
  • Experience in creating use cases under Cyber kill chain and MITRE attack framework
  • Capability in developing advanced dashboards (with CSS, JavaScript, HTML, XML) and reports that can provide near real time visibility into the performance of client applications.
  • Sound knowledge in configuration of Alerts and Reports.
  • Good exposure in automatic lookup, data models and creating complex SPL queries.
  • Create, modify and tune the SIEM rules to adjust the specifications of alerts and incidents to meet client requirement
  • Experience in creating custom commands, custom alert action, adaptive response actions etc.

Qualification & experience:

• Minimum of 3 years’ experience in Splunk and 3 to 5 years of overall experience with knowledge in Operating System and basic network technologies
• Experience in SOC as L1/L2 Analyst will be an added advantage
• Strong oral, written and listening skills are an essential component to effective consulting.
• Good to have knowledge of Vulnerability Management, Windows Domains, trusts, GPOs, server roles, Windows security policies, user administration, Linux security and troubleshooting
• Certification in any other SIEM Solution such as IBM QRadar, Exabeam, Securonix will be an added advantage
• Certifications in a core security related discipline (CEH, Security+, etc.) will be an added advantage.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Key Responsibilities:

• Support the implementation and configuration of EA tools like SAP LeanIX and Ardoq in alignment with client requirements
• Collaborate with senior client stakeholders to understand their enterprise architecture needs and provide strategic solutions.
• Assist in the implementation and customization of enterprise architecture tools like SAP LeanIX and Ardoq
• Assist in building the inventory within the EA tool (Data ingestion)
• Engage in problem-solving activities to address client challenges and improve architecture processes
• Communicate effectively with clients and team members to ensure alignment on project goals and deliverables.
• Contribute to the development of best practices and methodologies in enterprise architecture.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 2-3 years of relevant IT experience, preferably in enterprise architecture or related areas
• Strong communication skills, with the ability to engage effectively with senior stakeholders
• Excellent problem-solving skills and a proactive approach to challenges
• Basic programming experience in languages such as JavaScript, Java, C#, or Python
• Familiarity with enterprise architecture frameworks and tools is a plus

What We Offer:

• A dynamic and inclusive work environment.
• Opportunities for professional growth and development.
• Competitive salary and benefits package.
• The chance to work on impactful projects with leading organizations.

Scope of engagements

We are currently seeking experienced, seasoned IT Strategy practitioners who can be positioned at the crucial intersection of business, technology and customer to devise creative new strategies based on trends, insights and data. We are looking for folks who have experience in advising clients to …

• reset, reimagine and re-think their business and operating models with tech-enabled, cutting-edge solutions that re-energize performance across the enterprise
• set and drive enterprise tech vision and strategy in alignment with corporate / business unit strategy, customer focus and solution teams
• drive increased value from technology spend with focus on optimizing cost, agility, productivity and performance

We work with clients to address issues of importance to the Chief Information Officer (CIO) and Chief Technology Officer (CTO) in creating value and delivering world-class IT capabilities to support futuristic business needs. Working closely with our industry groups and leveraging the Ernst & Young brand as independent, trusted advisors, we provide our high-profile clients with range of services including:

• Tech Strategy & Vision
• IT Operating Model optimization
• 3/5-year Transformation strategy, roadmaps & blueprints
• Office of CIO functions (IT Finance, Sourcing, Project Portfolio Mgt. etc)
• Product strategy & management
• M&A due-diligence, planning and post integration/separation
• Enterprise Architecture Services

Key responsibilities of candidate include:

• Understanding the business strategy & vision and translating them into enterprise-wide technology vision & strategy in alignment with strategic priorities for growth, customer experience, efficiency etc.
• Analyze value chain and business capabilities to develop clear understanding of strategic objectives, KPI’s, processes and underlying systems that deliver the business outcomes
• Assess the impact of the business strategy on business capability model and business processes to identify optimization opportunities (through tech-enabled solutions) across organization, systems, data, infrastructure and applications
• Have strong experience in analysing business models, business model innovation/ incubation, and experience in one or more of the following areas preferred: Market Strategy, Pricing/ Monetization, Finance, Ecosystem Management, and/ or Product Management
• Ability to analyse client’s (IT) Operating Model including the organization structure, processes and governance while developing recommendations and/or creating actionable roadmaps
• Significant experience in: 1) developing business capability model for the enterprise; 2) analysing enterprise-wide portfolio of systems / platforms and 3) function as guardian of the transformation strategy and business architecture to make sure that new initiatives comply with strategic priorities
• Solid experience in guiding our clients through large, enterprise-wide transformation to implement their strategies and business architecture. Experience working with IT leadership (e.g., CIO, IT Director) and business leadership (e.g., CFO, COO, BU leader, etc.) to help shape and guide the IT strategic and improvement agenda
• Be a trusted advisor on 'innovation' with ability to frame key business and technology trends within the context of the client's objectives. Ability to identify the potential implications and impacts of the associated trends.
• Leverage EY’s global network, and leverage the cross-functional expertise to develop relevant architecture insights

Within the team, your role will include the following additional responsibilities:

• Ability to lead conversations with the client stakeholders. Strong communication skills as the profile requires interactions with CIO, CEO, CFO and other senior leadership
• Build and develop trusted relationships as a strategic technology advisor with clients and work internally across EY advisory teams to bring our clients the most comprehensive, end-to-end services and effectively address their business challenges.
• Building and growing TST Strategy practice, developing and maintaining client relationships, and selling and delivering work as an engagement leader or Subject Matter Specialist.
• Develop thought leadership and define approaches to provide structured solutions to complex technology strategy problems of clients, by recombining existing methodologies and teams
• Managing engagement teams and providing leadership in the assessment, design, and management of successful Business - IT transformation engagements in collaboration with our clients. They should provide high quality client services by directing daily progress of engagement work, informing EY leadership of engagement status, and managing staff performance
• Help recruit, develop and retain strategy professionals, coach and mentor team members, deliver architecture-related training and take on other practice management tasks as needed (e.g., development of practice offerings)
• Should be very good at using various tools (Such as Word, Excel, Powerpoint, visualization tools, MS-Project, etc.)
• Would support in developing new solution offerings, tools and knowledge repositories
• People skill has worked independently on projects or as part of small consulting teams
• Should be self-driven and organized person with ability to manage multiple priorities in a fast-paced, high pressure environment
• Should have experience in pursuit teams including conceptualizing propositions and presenting solutions to client
• Create expert content for point-of-view and use advanced presentation, public speaking, content creation and communication skills for C-Level discussions.
• Demonstrate strong understanding of a specific industry, client or technology and function as an expert to advise senior leadership.

To qualify for the role, you must have

• Strong academic background with BE/B.tech and MBA from top Tier-1 B-schools
• A background in Strategy Consulting (in top tier consulting firms), with 5+ years of relevant experience in large-scale, enterprise-wide transformations
• Min. of 5+ years of specific industry / sector experience through completed client engagements related to business transformation. Should have experience in any one or two industry sectors such as Financial services, Retail, Healthcare/Pharma, Telecom, e-commerce, etc.
• Demonstrated experience of driving business workshops as well as conducting deep-dive technology workshops to collaboratively develop transformation vision, strategy, roadmaps and blueprints
• Experience with assessing maturity of IT operating models & organizations structure to determine optimization opportunities. Should understand IT - business alignment, IT strategy and planning, development of current and future state IT architecture, roadmaps, IT/Digital maturity assessment, etc.
• Experience with large transformation related to customer experience, process re-engineering, digital, cloud, automation, AI/ML/advanced analytics, next-gen / emerging tech (IoT, blockchain, virtual twins etc).
• Conducting research and analyses of operational effectiveness, processes, stakeholders, etc., creating end-to-end visibility into how the organization executes their operations today and identifying systemic issues impacting business performance
• Should have experience in designing and managing an effective IT governance framework across the spectrum of IT service delivery
• Should be able to analyze data and translate findings into meaningful insights, integrating relevant business knowledge
• Should have knowledge about or exposure to areas such as IT Service Management and Governance, Agile methodologies, Data visualization, Cloud technologies, emerging technologies

The following are preferred, but not required:

• Advanced business and/or technology degrees from tier-1 schools (MBA, Masters)
• Experience in presenting directly to the C-Suite and explain complex concepts to anyone from an intern to a CFO, CHRO or CMO
• Experience working with IT leadership (e.g., CIO, IT Director) and business leadership (e.g., CFO, COO, BU leader, etc.) to help shape and guide the strategic and improvement agenda.
• Speaking at industry conferences, round tables, and other public forums
• Authoring articles and white papers
• Business / technology innovation experience with emerging tech solutions leveraging power of combinatorial technologies AI/ML, Data Automation, Blockchain, IoT, etc
• Exposure across key technology domains is preferred (application, data, DevOps, infrastructure, cloud, network. security etc)
• Demonstrated capability to drive sales and bring a network of client relationships to the firm
• Relevant industry certification (e.g., TOGAF Biz Architect, Business Process Framework (eTOM Practitioner of TMForum), AWS Cloud Certified etc.).

Overall Skills and attributes for success

• Understanding of the current IT environment and industry IT trends to identify the engagement and client service issues.
• Ability to act as day-to-day client contact on the project engagement; run client status and other client meetings and deliver executive-level presentations that drive actions and decisions.
• Proven delivery skills including the ability to scope/size a project; staff a team with the appropriate skill set; provide subject matter direction and guidance to a team; and manage the delivery of an engagement.
• Ability to identify opportunities and help generate sell-on work during client engagements by understanding a range services and offerings and coordinating with personnel in other service lines to help sell integrated solutions that meet client needs.
• Experience in creating points of view on relevant industry trends, solutions, methodologies, and analytical frameworks and tools to bring strategic perspectives to existing solutions.
• Experience in managing a portfolio of executive level clients and developing long-term trusted advisor relationships.
• Experience in building strong teams with a solid understanding of project management, industry content knowledge, and effective client communications.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Job Summary:

As a
Senior Manager – Cloud Strategy & Advisory Lead, you will spearhead client engagements to define cloud-first, cloud-smart, and hybrid cloud strategies that accelerate digital transformation. You will help clients navigate complex decisions related to multi-cloud adoption, cloud operating models, FinOps, exit from legacy infrastructure (e.g., VMware), and cloud governance—all while ensuring business value, security, and compliance.

You will work closely with client executives, technology leaders, platform providers, and EY global teams to deliver cloud advisory engagements aligned to enterprise modernization and transformation initiatives.

Client Delivery & Engagement Leadership

• Lead advisory engagements on cloud strategy, hybrid/multi-cloud architecture, data center modernization , and cloud governance frameworks .
• Shape client journeys from on-premise and legacy platforms to cloud-native ecosystems , aligned to business and industry needs.
• Develop actionable transformation roadmaps covering cloud adoption, cloud exit (e.g., VMware), operating models, security, compliance, and cost optimization.
• Guide clients on integrating emerging technologies (e.g., containers, AI workloads, edge computing) into cloud strategies.
• Ensure cloud recommendations comply with global and regional regulatory, privacy, and security requirements.

Practice & Offering Development

Create standardized frameworks, assessment models, and accelerators for strategy and transformation programs.

Team Leadership & Capability Building

• Build and mentor a high-performing team of cloud advisors and consultants.
• Promote a culture of curiosity, innovation, knowledge sharing, and excellence in delivery.
• Lead internal training programs and knowledge management initiatives.

Business Development

• Drive business development across global markets with proposal ownership, client pitches, and solutioning.
• Support account leaders and industry teams in identifying and shaping cloud-led opportunities.
• Contribute to thought leadership (white papers, articles, points of view) in cloud and infrastructure modernization.

Required Qualifications:

• Bachelor’s degree in Engineering, Computer Science, Information Technology, or Electronics from a recognized university (e.g., B.E./B.Tech).
• Master’s degree: M.Tech or MBA with specialization in Information Systems, Infrastructure Management, or Technology Strategy
• Public cloud certifications: AWS/Azure/GCP Certified Architect
• FinOps Certified Practitioner is shall be an added advantage
• 12–16 years of experience in cloud and infrastructure consulting, transformation programs, or enterprise architecture roles.
• Demonstrated success in leading cloud strategy, infrastructure modernization, or cloud adoption engagements.
• Strong understanding of public cloud platforms (Azure, AWS, GCP), hybrid cloud, containers, and edge/cloud-native patterns.
• Familiarity with infrastructure cost models, FinOps frameworks, business case development, and optimization levers.
• Familiarity with modern tooling in IAC (Terraform, Ansible), AIOps, CMPs, Cloud Health/Apptio, and FinOps platforms.
• Experience advising on risk, security, compliance (e.g., NIST, ISO, GDPR), and resilience in cloud transformation.
• Proficiency in communicating with senior stakeholders (CTO, CIO, COO, CISO) and translating business goals into technology strategy.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

The opportunity

• Leads the delivery of solution or infrastructure development services for a large or more complex project, using strong technical capabilities and outstanding hands-on experience!
• Takes accountability for the design, development, delivery and maintenance of solutions or infrastructure, driving compliance with and contributing to the development of relevant standards
• Fully understands business and user requirements and ensures design specifications meet the requirements from a business and technical perspective

Your key responsibilities

• Solves complex and escalated aspects of a project, performing coding, debugging, testing and troubleshooting throughout the development process
• Provides advanced technical expertise to maximize efficiency, reliability and value from current solutions, infrastructure and emerging technologies, showing technical leadership and identifying and implementing continuous improvement plans
• Develops strong working relationships with peers across Development & Engineering and Architecture teams, collaborating to develop and engineer leading solutions
• Provides a leadership role for the work group, ensuring the appropriate expectations, principles, structures, tools and responsibilities are in place to deliver the project
• Drives consistency to the relevant processes, procedures, standards, technical design whilst supporting the definition, maintenance and implementation of technology standard

Skills and attributes for success

• Advanced technical proficiency in designing, developing, and debugging solutions
• Advanced knowledge of one or more of: C#/Java or Python
• Bachelor’s degree in computer science, Engineering, IT, Mathematics, or related field preferred
• More than 10 years applied experience
• Significant relevant experience in either an internal or external software or platform engineering role, or similar
• Technical knowledge and experience in delivering software / platform engineering solutions (depending on specialism), providing comprehensive technical advice and handling user requirements
• CI/CD delivery using code management, configuration management and automation tools such as GitHub, ADO
• Proficiency in fine-tuning language models for specific tasks, including text generation, summarization, or question answering
• Knowledge of embedding models and their application in NLP tasks like similarity matching, clustering, and information retrieval
• Familiarity with designing and implementing agentic systems that combine AI models with external tools or environments for autonomous decision-making
• Ability to design robust evaluation frameworks for AI models and agents, including metrics development, A/B testing, and performance benchmarking

Ideally, you’ll also

• Microsoft/Google/AWS certificates
• Delivery using modern methodologies
• Significant proven experience in building application using container-orchestration systems like Kubernetes, and container engines like Docker

Azure ML and Python Dev- Senior 1/2

EY GDS Consulting digital engineering, is seeking experienced Azure ML and Python Developer. Your responsibilities will include designing and implementing data pre-processing, feature engineering, and model training pipelines, collaborating closely with data scientists, and ensuring model performance and reliability in production environments. Proficiency in Azure ML services, Python programming, and a strong background in machine learning are key requirements for this role.

Your key responsibilities

• Develop and deploy machine learning models on Azure cloud platform using Python programming language and Azure ML services.
• Design and implement scalable and efficient data pipelines for model training and inference.
• Collaborate with data scientists and business stakeholders to understand requirements and translate them into technical solutions.
• Implement best practices for ML development, including version control, testing, and documentation.
• Develop and maintain APIs on Azure cloud platform for model deployment and integration with applications.
• Monitor and optimize model performance, ensuring scalability, reliability, and security.
• Participate in code reviews, troubleshooting, and optimization to improve performance and maintainability.
• Stay updated with industry trends and best practices in machine learning, cloud computing, and API development.
• Mentor junior team members, sharing expertise and guiding them in technical challenges.
• Collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to deliver end-to-end solutions.
• Conduct regular evaluations and assessments of ML models and APIs, identifying areas for improvement and optimization.
• Lead and contribute to innovation initiatives, exploring new technologies and approaches to enhance our ML and cloud capabilities.

Soft Skills

• Bachelor's degree in computer science, data science, or related field.
• 6-8 years of experience in machine learning, data engineering, and cloud computing, with a strong focus on Azure services.
• Proficiency in Python programming language for ML model development and deployment.
• Experience with Azure ML services, Azure data services (e.g., Azure Data Lake, Azure SQL Database), and Azure cloud infrastructure.
• Strong understanding of machine learning concepts, algorithms, and techniques, including supervised and unsupervised learning, deep learning, and natural language processing.
• Expertise in designing and implementing data pipelines for ML model training and inference, using tools like Azure Databricks, Azure Data Factory, and Azure Synapse Analytics.
• Familiarity with cloud-native technologies, containerization (e.g., Docker, Kubernetes), and DevOps practices for ML model deployment and automation.
• Experience with version control systems (e.g., Git/GitHub), CI/CD pipelines, and software engineering best practices for ML projects.
• Strong analytical and problem-solving skills, with the ability to analyze complex data sets, identify patterns, and derive meaningful insights.
• Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams and communicate technical concepts to non-technical stakeholders.
• Proactive mindset, self-driven, and eager to learn new technologies and methodologies in the ML and cloud computing space.
• Ability to work in a fast-paced environment, manage multiple priorities, and deliver high-quality results under tight deadlines.

To qualify for the role, you must have

• A bachelor's or master's degree in computer science, data science, or related field.
• 6-8 years of hands-on experience in machine learning, cloud computing, and API development, with a focus on Azure services.
• Proficiency in Python programming language for ML model development and deployment, along with experience using Azure ML services and Azure cloud infrastructure.
• Strong communication skills, both verbal and written, with the ability to articulate technical concepts effectively to diverse audiences.
• Proven track record of successfully delivering ML projects, designing scalable data pipelines, and collaborating in cross-functional teams.
• Certifications such as Microsoft Certified: Azure AI Engineer Associate, Microsoft Certified: Azure Data Scientist Associate, or equivalent, are highly desirable.
• Experience with other cloud platforms (e.g., AWS, Google Cloud Platform) and additional programming languages (e.g., R, Java) is a plus.

Ideally, you’ll also have

• Analytical ability to manage multiple ML projects simultaneously, prioritize tasks effectively, and make data-driven decisions.
• Experience operating independently or with minimal supervision, demonstrating strong problem-solving skills and initiative.
• Familiarity with advanced ML techniques and frameworks (e.g., TensorFlow, PyTorch) for deep learning and computer vision applications.
• Knowledge of cloud security principles, data governance, and regulatory compliance frameworks relevant to ML and cloud environments.
• Experience with Big Data technologies (e.g., Apache Spark, Hadoop) for processing large-scale datasets and building ML models at scale.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• Opportunities to develop new skills and progress your career
• The freedom and flexibility to handle your role in a way that’s right for you