We are searching for a Senior Service Integration Engineer to collaborate on a long-term assignment (minimum 12 months) within the Store and Supply Chain domain. This role is integral to improving the integration and visibility of distributed IT systems in a complex hybrid cloud and on-premise environment, enabling seamless data flows and robust end-to-end system control for our clients.
responsibilities
Design and implement service integrations across cloud and on-premise environments
Improve data integration and flow across distributed systems
Work with API management solutions and REST-based services (e.g., ServiceNow)
Integrate process management tools to support system alignment
Contribute to the integration of SaaS platforms (e.g., ServiceNow)
Drive observability and monitoring efforts (e.g., Grafana) to improve system visibility
Help establish a clear, end-to-end view of environments and their dependencies
requirements
3+ years of relevant experience
Solid understanding of API management and REST services
Kotlin experience (Java is acceptable)
Experience working with distributed data sources and complex system landscapes
Experience with SaaS platforms (e.g., ServiceNow or similar)
Knowledge of cloud technologies (preferably Azure, but not limited to it)
Strong observability mindset, with experience using tools like Grafana or Prometheus
Ability to work independently and bring structure to complex environments
Proactive and solution-oriented mindset
Excellent command of written and spoken English (B2+ level)
nice to have
Experience with ServiceNow integrations
Exposure to both cloud and on-premise architecture
Knowledge of IT infrastructure and systems interplay
SRE mindset with a strong focus on reliability and performance optimization
We are seeking a highly skilled Senior Kafka Platform Engineer to drive the development, operation, and enhancement of our Kafka-based infrastructure, ensuring robust, scalable, and reliable messaging platforms to support critical business processes.
responsibilities
Operate, maintain, and evolve the Confluent Kafka platform
Support and maintain Strimzi Kafka Connect in production
Build and enhance Pulumi-based Infrastructure as Code
Lead and execute migrations from Strimzi to Confluent Kafka using MirrorMaker 2
Ensure reliable operation of Kafka workloads on managed AKS
Improve Kafka developer experience across the company by enhancing tooling, processes, and platform capabilities
Collaborate closely with team members and other engineering groups
Monitor, troubleshoot, and resolve platform-related issues to minimize downtime
Develop and implement strategies for Kafka platform scaling and optimization
Contribute to automated deployment pipelines and operational efficiencies
requirements
3+ years of proven experience as a Kafka Platform Engineer with expertise in Kafka operations, scaling, and troubleshooting
Strong DevOps background and hands-on experience with Infrastructure as Code, preferably Pulumi
Experience with Confluent Kafka, Strimzi, Kafka Connect, or similar ecosystem tools
Solid understanding of cloud engineering with AKS or another major cloud platform
Capability to lead migrations and improvements for platform reliability and developer experience
Familiarity with operational monitoring tools and practices in distributed messaging environments
Understanding of Kafka workload management and platform scalability
Fluency in English with a proficiency level of B1 or higher
nice to have
Experience with Avro schema formats
Knowledge of additional messaging systems like RabbitMQ or ActiveMQ
Experience with cluster migrations using MirrorMaker 2
We're seeking a Data Technology Consultant to join the Data Practice team and help our clients in unlocking their data's full potential. In this role, you'll contribute to projects centered around digital transformation, data platforms & science, business analytics, intelligent automation, and cloud solutions.
responsibilities
Work with European technical and business data practices, assisting clients in their Data Analytics strategy and delivery programs
Maximize the value of clients' Data & Analytics initiatives by recognizing appropriate solutions and services
Act as Data Technology Consultant and/or Data Solution Architect, working with the delivery team in complex programs
Maintain understanding of technical solutions, architecture design trends and best practices
Drive Data Analytics initiatives and technology consulting engagements
Collaborate with internal, client and third-party teams to execute transformations
Understand the intersection between technology, customers and business
Stay updated on emerging trends and challenges in clients' markets and geographies and how it affects clients’ business and initiatives
Work closely with project/program management to ensure successful delivery through an integrated delivery model
Deliver clear and consistent communications within projects with relevant stakeholders
Establish and cultivate strong relationships with clients
requirements
Strong experience as a Data Technical Consultant and Data Solution Architect
Hands-on technology experience in the areas of Data Analytics
Skills in one of the following: Big Data, BI, Data Warehousing, Data Science, Data Management, Data Storage, Data Visualization
Good knowledge in at least one of the Cloud providers (AWS, Azure, GCP)
Background in continuous delivery tools and technologies
Ability to work with relevant delivery teams
Skill in effectively communicating technology pros & cons and presenting rational options to clients
Confidence in expressing viewpoints, making recommendations and presenting analysis when needed
English language proficiency at an Upper-Intermediate level (B2) or higher
We are in search of a Senior Data Solution Architect to spearhead data-driven projects that leverage scalable platforms, cutting-edge technologies, and machine-learning algorithms. By designing robust solutions, you will be a crucial part in generating value from data, all while driving our organization's digital transformation through data enablement and democratization.
responsibilities
Address organization business goals and strategies using best practices in data-, solution-, enterprise- and business- architectures, along with software engineering expertise
Conduct architectural activities including business problem analysis, technology landscape identification, significant requirements identification, solution design, and artifact creation
Perform software engineering tasks such as coding and data model creation in primary technology stacks, comprehend code and data models for non-primary technology stacks, and apply software design patterns and practices
Build and manage data management environments on premise and in the cloud, addressing security, compliance, and regulatory concerns with automation, monitoring, orchestration, and data ingestion
Guide the implementation team in integrating and harmonizing data from various sources, building analytical products on the data platform, and managing data product life cycles efficiently
Provide data technology consulting services to help clients shape solution visions and make informed decisions under uncertainty
requirements
10+ years of IT experience
5+ years in leadership roles
Extensive experience in requirements engineering, solution architecture, systems development, deployment, and maintenance
Knowledge in architecture, design patterns, and the technological landscape across at least 3 technology domains including Data Platforms, IoT, and ML
Profound knowledge of technology internals for at least 1 technology domain
Solid understanding of core concepts in data and analytics platform architectures, data warehousing, business intelligence, data management, integration, security, and operations
Experience in designing, implementing, deploying, troubleshooting, and re-platforming distributed systems both on-premises and in the Cloud
Structured knowledge of the entire architecture design process including technology selection, estimation, proposal verification, and documentation
Background in all phases of the software development life cycle using various development methodologies and best practices
High level of organization and attention to detail
Competency in effective communication
Fluency in English (B2 level or higher)
nice to have
Familiarity with CI/CD and infrastructure automation
Flexibility to adapt to evolving technologies and methodologies within data management
Capability to drive operations focusing on scaling and cost-efficiency
Qualifications in advanced data security and privacy practices
Understanding of metadata management and semantic layering within data platforms
We are looking for an experienced GCP Cloud Architect to join our dynamic team. As a GCP Cloud Architect, you will be responsible for designing, implementing, and optimizing cloud solutions on the Google Cloud Platform (GCP) to drive innovation, scalability, and performance for our business needs. You will collaborate with cross-functional teams to ensure the successful deployment and integration of GCP services and architectures while aligning with industry best practices and organizational strategies.
responsibilities
Cloud Architecture Design: Design and develop scalable, secure, and cost-optimized cloud solutions on Google Cloud Platform (GCP) for various business applications
Solution Implementation: Lead and oversee deployments of GCP services, ensuring they integrate effectively into existing systems and processes
Technical Leadership: Provide expert guidance to technical teams as they build and deploy GCP-based applications and infrastructure
Cloud Optimization: Analyze cloud usage and recommend optimizations to improve performance, availability, and cost-efficiency
Infrastructure as Code (IaC): Develop and maintain automated deployments using tools like Terraform, Deployment Manager, or similar
Security and Compliance: Ensure all GCP implementations meet security, compliance, and governance standards
Troubleshooting: Act as a subject matter expert for resolving architecture and infrastructure issues related to GCP environments
Stakeholder Collaboration: Work closely with product managers, engineers, and business leaders to align cloud strategies with business objectives
Documentation: Develop robust architecture documentation, workflows, and operational procedures for GCP infrastructure and applications
Training: Mentor and train team members on GCP best practices and emerging technologies
requirements
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience)
Communication and stakeholder management - Prior experience working in a client-facing role, communicating with the client, identifying stakeholders, explaining concerns and conducting workshops to establish the solution requirements and to present solutions to a senior audience
Good knowledge of architectural theory - Architecture styles and tactics used to solve problems in the context of the target cloud platform Familiarity with the cloud solutions and best practices recommended by Google Cloud
Strong expertise in Google Cloud Platform (GCP) services, including Compute Engine, App Engine, Kubernetes Engine (GKE), BigQuery, Cloud Storage, and Cloud Networking
5+ years of experience in cloud architecture and implementation (preferably with GCP)
Proficiency in Infrastructure as Code tools such as Terraform, Deployment Manager, or similar
Comprehensive understanding of microservices architecture, containerization, and Kubernetes orchestration
Solid knowledge of networking, firewalls, and security principles within cloud environments
Experience with CI/CD pipelines and DevOps practices
Familiarity with enterprise-level cloud strategies like hybrid cloud, disaster recovery, and performance optimization
Strong analytical and problem-solving skills, with experience addressing both technical and business challenges
Excellent communication and collaboration skills with both technical and non-technical stakeholders
nice to have
GCP certifications, such as Google Cloud Professional Architect or Google Cloud Professional DevOps Engineer
Experience with other cloud platforms (e.g., AWS, Azure) is a plus
Knowledge of big data processing tools like Apache Beam or Dataflow
Understanding of machine learning workflows on GCP using AI/ML tools such as Vertex AI or TensorFlow
Familiarity with cloud migration strategies and tools (e.g., Velostrata, Transfer Appliance)
Hands-on experience in multi-cloud and hybrid cloud architecture designs
We are seeking an experienced and innovative Lead Data Engineer to play a critical role in our Data Transformation program. You will be at the forefront of designing and implementing scalable, cutting-edge data solutions, leveraging advanced technologies to optimize our cloud-based analytics platform. This role offers a unique opportunity to contribute to the transformation of our data platform and develop expertise in emerging technologies.
responsibilities
Design and develop automated data pipelines and data structures for modern data solutions
Deliver business tenancies as part of the data platform strategy
Build and optimize cloud data platforms leveraging AWS and Snowflake
Collaborate with product teams to ensure alignment with business goals and objectives
Migrate data from legacy platforms to cloud-based solutions
Design and operate event‑driven or streaming systems on Kafka with focus on delivery semantics and tuning throughput
Implement robust CI/CD pipelines using GitLab to support development processes
Create and maintain automated testing frameworks for data pipelines
Adapt ITIL processes into a 2nd/3rd line support environment to ensure system reliability
Drive innovation by staying updated with technology standards and emerging trends in software and data engineering
Contribute to Agile delivery teams utilizing methodologies such as Scrum and Kanban
requirements
5+ years of Python engineering experience with a focus on performance optimization, object-oriented design, and production-grade reliability
2+ years of hands-on expertise in Snowflake, SQL, and data engineering tools like dbt and Airflow
2+ years designing and managing Kafka systems with an understanding of message delivery guarantees and DLQs
1+ years implementing CI/CD pipelines using GitLab in production environments
Familiarity with Agile methodologies, including Scrum or Kanban, and JIRA for workflow management
Knowledge of automated testing frameworks for validating data pipelines
Expertise in modern cloud computing technologies, with a focus on AWS and Snowflake
Demonstrated proficiency in ITIL processes within a support setting
Strong written and verbal English communication skills (B2+)
We are looking for a skilled Engineering Manager, SAP CAP Java , to design and implement cutting-edge solutions using SAP technologies and modern cloud-native methods. Join our team to shape scalable systems, lead with expertise, and drive innovation for our customers.
responsibilities
Design and architect SAP solutions, including CAP Java applications
Collaborate with teams to ensure delivery of cloud-native solutions
Provide expertise in ERP and S/4HANA processes for end-to-end workflows
Ensure seamless integration with SAP BTP, OData, and other technologies
Guide projects with a customer-oriented approach and solid communication
Maintain code quality, scalability, and best practices in software development
Support DevOps principles like automation and CI/CD pipelines
Deliver presentations and communicate effectively in English
Travel occasionally to support customer projects
Uphold Agile methodologies and team collaboration
requirements
7+ years of working experience in SAP, with expertise in BTP, ABAP, Fiori, HANA, and Integration
Background in ERP or S/4HANA with understanding of end-to-end processes
Strong expertise in Java and Spring Boot, paired with robust application development skills
Familiarity with microservice architectures and event-driven design
Proficiency in major cloud providers like AWS, Azure or GCP
Knowledge of SAP CAP, Fiori, and UI5 is advantageous
Excellent presentation and communication skills in English (B2+)
Willingness to travel occasionally to customer sites
nice to have
Understanding of Agile methodologies and practical DevOps skills (CI/CD, automation)
Interest in AI-driven SDLC methodologies
Competency in additional SAP products beyond CAP and BTP
We are seeking a Senior Microsoft Azure Engineer to join our software, system, and test engineering team, contributing to the support, optimization, and reliability of Azure Kubernetes Service clusters. You will collaborate with cross-functional teams on mission-critical solutions, enhancing observability, security, and automation. If you are passionate about Azure cloud technologies and thrive in dynamic environments, we encourage you to apply.
responsibilities
Provide operational support for Azure Kubernetes Service clusters
Manage and troubleshoot Kubernetes workloads including Pods, Deployments, and Services
Implement and support CI/CD pipelines for containerized applications
Maintain and enhance observability using Azure Monitor, Prometheus, and Grafana
Perform cluster upgrades and scaling in coordination with Azure cloud services
Ensure security compliance through RBAC, Azure AD integration, and Network Policies
Troubleshoot complex networking issues involving ingress, load balancers, and DNS
Collaborate with development and DevOps teams to improve deployment reliability
Document runbooks, troubleshooting steps, and best practices
Participate in on-call rotation to respond to incidents and outages
requirements
3+ years experience with Kubernetes and Azure Kubernetes Service
Proven leadership in managing complex cloud infrastructure
Track record of successful infrastructure-as-code deployment using Terraform
Hands-on expertise with CI/CD pipelines leveraging GitHub Actions
Proficient knowledge of observability tools such as Grafana
Strong problem-solving skills
Excellent communication skills for collaboration with cross-functional teams
English language proficiency B2 Upper Intermediate
nice to have
Azure Solutions Architect Expert certification
Experience with Prometheus
Familiarity with service mesh architectures
Knowledge of advanced Azure networking features
Experience in automated security compliance testing
We are seeking a qualified Engineering Manager with expertise in SAP CAP Java to design and implement innovative solutions using SAP technologies and modern cloud-native approaches. Join us to build scalable systems, lead with proficiency, and foster innovation for our clients.
responsibilities
Design SAP solutions, including CAP Java applications
Ensure collaboration across teams to deliver cloud-native solutions
Offer expertise in ERP and S/4HANA workflows for end-to-end processes
Achieve seamless integration with SAP BTP, OData, and related technologies
Lead projects with a customer-focused mindset and effective communication
Maintain high standards of code quality, scalability, and best practices
Support DevOps principles, including automation and CI/CD pipelines
Deliver presentations and communicate fluently in English
Travel to customer sites when required
Encourage team collaboration and implement Agile methodologies
requirements
9+ years of experience in SAP, with expertise in BTP, ABAP, Fiori, HANA, and Integration
Background in ERP or S/4HANA with understanding of end-to-end workflows
Strong skills in Java and Spring Boot, with a focus on application development
Familiarity with microservice architectures and event-driven design
Proficiency with major cloud platforms such as AWS, Azure or GCP
Knowledge of SAP CAP, Fiori, and UI5 is a plus
Excellent presentation and communication skills in English (B2+)
Willingness for occasional travel to customer locations
nice to have
Understanding of Agile methodologies and adaptable DevOps practices, including CI/CD and automation
Interest in applying AI-driven methods to SDLC optimization
Competency with additional SAP solutions beyond CAP and BTP
We are seeking a Senior SAP Basis Engineer to join our dynamic team. You will leverage your expertise to ensure the stability, security, and performance of SAP systems while collaborating with cross-functional teams on cutting-edge projects.
responsibilities
Maintain and monitor SAP Basis systems including NW as ABAP, NW as Java, Webdisp, and Content Servers
Manage change requests and transport workflows using SAP Solution Manager (ChaRM)
Address incidents and service requests via ServiceNow
Administer SAP HANA and SAP ASE databases with a focus on backup, restore, data growth analysis, index management, and parameter tuning
Optimize performance for ABAP/Java platforms and databases such as HANA and ASE
Oversee AWS cloud infrastructure including EC2, Route53, S3, Lambda, System Manager, and CloudWatch
Implement system updates, security patches, and backup processes for Linux-based OS environments
Manage SAP BTP services including subaccount administration, connectivity, and security audits
Deliver solutions for system monitoring, Early Watch Alerts, and service management
requirements
3+ years of working experience in SAP BASIS administration (S4HANA, NW as Java, etc.) and SAP Solution Manager implementation
Background in SAP HANA and SAP ASE with skills in robust database maintenance and tuning
Proficiency in AWS cloud tools such as EC2, S3, Lambda, and CloudWatch
Expertise in Linux operating systems (preferably SLES) with capabilities in patching and security management
Understanding of performance analysis across ABAP/Java platforms and databases
Competency in administering SAP BTP services, SAP Analytics Cloud, and SAP Data Intelligence
English proficiency (B2 or higher) for effective stakeholder communication
nice to have
Knowledge of GRC, ACP, SLT, BW4HANA, S4HANA, and OpenText
Familiarity with third-party backup tools like Commvault
Showcase of Single Sign-On solutions including Kerberos, X509, SAML, and oAuth
Understanding of network configurations, firewalls, and troubleshooting strategies
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