Responsibilities

• Support the administration of Databricks environments (DEV, TEST, PROD)
• Manage user access, roles, and permissions
• Support identity provisioning via Azure AD / AWS IAM
• Collaborate with cloud teams on connectivity, storage access, and security topics

• Manage access to notebooks, jobs, clusters, and SQL Warehouses
• Support cluster configuration and usage policies
• Troubleshoot platform-related issues and coordinate with support teams
• Maintain operational documentation and internal guidelines

• Support Unity Catalog governance (catalogs, schemas, tables)
• Manage access controls and data ownership
• Ensure platform security standards and audit readiness
• Contribute to compliance and governance processes

• Support CI/CD processes for Databricks deployments
• Participate in automation initiatives using Git-based workflows
• Contribute to standard templates and deployment practices
• Support lifecycle management across environments

• Monitor platform usage and identify optimization opportunities
• Support cost tracking and reporting activities
• Contribute to tagging and governance practices for cost attribution

Requirements

• Master’s degree in Computer Science, Software Engineering, Data Engineering, or a related technical field
• Minimum 3 years of experience in Databricks platform administration, preferably in an Azure environment
• Good understanding of CI/CD concepts and Git-based workflows
• Experience working in cloud-based data platforms or DevOps environments is a plus
• Experience with Databricks administration (workspace management, access management, clusters, Unity Catalog is a plus)
• Knowledge of Azure cloud services (preferred) or other cloud providers
• Familiarity with Infrastructure as Code concepts (Terraform is a plus)
• Scripting knowledge (Python or Bash is a plus)
• Databricks certifications (ex: Databricks Certified Data Engineer, Databricks Platform Administrator)
• Cloud certifications such as Azure Data Engineer, AWS Solutions Architect, or equivalent
• Strong English communication skills (written and spoken)
• Good analytical and troubleshooting skills
• Ability to work in a collaborative and international environment
• Proactive mindset and structured way of working

Benefits

• A role with true technical ownership: architecture, scaling, and governance decisions that directly impact production AI solutions.
• Complex projects that go beyond “just pipelines” – covering big data processing and large-scale ML/DL deployment.
• Opportunities to deepen your expertise in Databricks, cloud-native ML, and MLOps.
• A team where your input and technical decisions truly matter.
• A competitive package and benefits.

Join us and make a direct impact on shaping the future of Data, AI, and Mobility.

XML job scraping automation by YubHub

Our team is a specialized group of engineers operating at the intersection of technology and quantitative finance. We function as an internal centre of excellence, providing expert-level solutions, architecture, and hands-on development in AI, Cloud (AWS/GCP), DevOps, and high-performance computing.

As a forward deployed software engineer, you will be responsible for translating complex research requirements into robust, scalable, and secure technical architectures across on-prem, hybrid, and cloud environments. You will write high-quality, production-ready code across the full stack, including Python libraries, infrastructure-as-code (Terraform), CI/CD pipelines, automation scripts, and ML/AI proof-of-concepts.

You will also develop and maintain our suite of managed products, reusable patterns, and best practice guides to provide self-service options and accelerate onboarding for new and existing teams. Additionally, you will act as the primary technical point of contact for embedded engagements, owning projects from discovery and planning through to implementation, knowledge transfer, and support.

To succeed in this role, you will need to have a deep understanding of computer science principles, including data structures, algorithms, and system design. You will also need to have experience working with cloud providers, such as AWS or GCP, and be familiar with infrastructure-as-code concepts. Excellent verbal and written communication skills are also essential, as you will need to build strong relationships with stakeholders and articulate complex ideas to diverse audiences.

Innovative thinking and a passion for AI/ML and its practical applications are highly desirable. Experience designing systems and architectures from ambiguous business needs, as well as experience with scheduling or asynchronous workflow frameworks/services, is also preferred.

XML job scraping automation by YubHub

As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

Long-term, you will be the subject matter expert responsible for architecting and scaling our enterprise integration landscape. This is a high-impact role for someone who thrives on solving complex data challenges and wants to build the operational foundation that enables Anduril to scale its mission.

Key Responsibilities:

• Stabilize & Optimize: Dive deep into existing Oracle Fusion ERP integrations across manufacturing, supply chain, finance, and engineering systems. Diagnose root causes of instability, re-architect weak points, and implement robust error handling and monitoring to achieve mission-critical reliability.

• Architect & Build: Design and develop new, scalable enterprise integrations using Oracle Integration Cloud (OIC). Translate complex business requirements for product data, multi-level Bills of Material (BOMs), procurement, inventory, work orders, and financial transactions into resilient and efficient integration flows.

• Own the Integration Lifecycle: Manage the end-to-end process from design and development through testing (unit, SIT, UAT) and deployment, utilizing CI/CD best practices. Proactively tune and maintain integrations to ensure peak performance as data volumes grow.

• Ensure Data Integrity: Become the trusted expert on data transformation and mapping between systems. Implement rigorous validation and reconciliation logic to guarantee that our enterprise data is flawless across all systems.

• Collaborate & Influence: Act as the key technical partner to our ERP, Manufacturing, Supply Chain, and Finance teams. Clearly articulate technical designs, trade-offs, and progress to both engineering peers and business stakeholders, guiding them toward best-practice integration patterns.

• Leverage Modern Oracle Cloud Tools: Utilize Oracle Visual Builder Cloud Service (VBCS) where appropriate to build lightweight user interfaces that enhance integration workflows, data validation, or operational dashboards.

Requirements:

• 5+ years of hands-on experience developing complex integrations with deep specialization in Oracle Integration Cloud (OIC), specifically Oracle Integration 3.

• Proven experience integrating Oracle Fusion Cloud ERP with upstream and downstream enterprise systems (e.g., PLM, MES, WMS, CRM, third-party applications), including deep familiarity with ERP data objects such as Items, BOMs, Suppliers, Purchase Orders, Work Orders, Inventory Transactions, and Financial data.

• Expert-level proficiency in OIC 3 components: Application and Tech Adapters (REST, SOAP, File, FTP, Oracle SaaS, Database), Connections, Mappings, Lookups, Error Handling, and JavaScript.

• Strong command of XSLT, XPath, and complex data mapping for transforming large and nested XML/JSON payloads.

• Demonstrable experience building, securing, and consuming RESTful APIs and SOAP web services.

• Excellent SQL skills and a solid understanding of relational database concepts.

• Experience with Oracle Fusion ERP modules such as SCM (Supply Chain Management), Manufacturing, Procurement, or Financials.

• A tenacious problem-solver with a track record of troubleshooting, debugging, and stabilizing complex, business-critical systems.

Preferred Qualifications:

• Hands-on experience with Oracle Visual Builder Cloud Service (VBCS) for building user interfaces and extensions.

• Experience with Oracle Business Intelligence Cloud Connector (BICC) for high-volume data extraction from Fusion ERP.

• Experience with Oracle Cloud Infrastructure (OCI) services (e.g., Functions, API Gateway, Object Storage, Logging, Autonomous Database).

• Experience integrating PLM systems (e.g., Teamcenter, Windchill, Arena) with Oracle Fusion ERP.

• Familiarity with Git-based source control and CI/CD pipelines for integration deployments.

• Experience in a discrete manufacturing environment.

• Knowledge of other programming languages (e.g., Python, Groovy, Java).

• Relevant Oracle Cloud Certifications (e.g., OIC 3 Application Integration Professional, Oracle Fusion Cloud certifications).

Salary Range: $129,000-$171,000 USD

XML job scraping automation by YubHub

Our dynamic organisation allows you to work across topics and bring in your ideas, experiences, creativity, and goal orientation. Are you ready?

As a Consultant/Senior Consultant in the Data Engineering & Data Science field, you will work hands-on on the conception, development, and implementation of modern data and analytics solutions. You will support the entire project lifecycle - from data intake and transformation to analytics and machine learning to productive operation.

You will work closely with data engineers, architects, data scientists, and subject matter experts to implement scalable, reliable, and value-adding solutions in complex customer environments.

Your Tasks

• Apply data science methods (machine learning, deep learning, GenAI) to solve concrete business questions
• Work with structured and semi-structured data in data lakes, lakehouses, and data warehouses
• Set up data pipelines for analytical workloads
• Support the productive implementation of data and ML solutions, including monitoring and optimisation

What You Bring - Required

• At least 3 years of relevant professional experience in the field of data engineering, data science, or analytics
• Hands-on experience in implementing data and analytics solutions in (customer) projects
• Strong problem-solving skills and a pragmatic, implementation-oriented way of working

Data Engineering Fundamentals

• Experience in setting up data pipelines (ingestion, transformation, storage)
• Solid understanding of data modeling, data transformations, and feature engineering
• Experience with cloud-based data platforms, such as:

1. Azure, AWS, or GCP
2. Databricks, Snowflake, BigQuery, Azure Synapse/Microsoft Fabric

• Knowledge of CI/CD concepts and production-ready deployments

Applied Data Science & Analytics

• Experience in applying GenAI, deep learning, and machine learning procedures as well as statistical analyses
• Very good programming skills in Python
• Very good SQL skills and experience with relational databases
• Experience in deploying and productively using ML models
• Ability to translate analytical results into business-relevant insights
• Bachelor's or master's degree in computer science, engineering, mathematics, or a related field, or equivalent practical experience

Nice to Have

• Experience with:

1. Streaming technologies (e.g. Kafka, Azure Event Hubs)
2. Time series analysis, NLP applications, or system modeling
3. NoSQL databases (e.g. MongoDB, Cosmos DB)
4. Docker and Kubernetes
5. Data visualization tools like Power BI, Tableau
6. Cloud or architecture certifications

Language & Mobility (Germany)

• Fluent German skills (at least C1) for customer communication in the German-speaking market
• Very good English skills
• Project-related travel readiness

Your Team

You will become part of our growing Data & Analytics teams. In this area, you will work with modern technologies in modern data ecosystems. You have the opportunity to turn your own ideas into results - in the areas of Data & Analytics Strategy, Data Management & Governance, Data Platforms & Engineering, and Analytics & Data Science.

About Infosys Consulting

You will become an employee of a globally renowned management consulting firm at the forefront of technological innovation and industrial transformation. We work across industries with leading companies. Our culture is inclusive and entrepreneurial. As a mid-sized consulting firm embedded in the size of Infosys, we can support our customers worldwide and throughout the entire transformation process in a partnership-like manner.

Our values IC-LIFE - Inclusion, Equity & Diversity, Client, Leadership, Integrity, Fairness, and Excellence - form our compass of values. Further information can be found on our career website.

In Europe, we are awarded by the Financial Times and Forbes as one of the leading consulting firms. Infosys is ranked among the top employers in Germany 2023 and has been certified by the Top Employers Institute for outstanding working conditions in Europe for five consecutive years.

We offer a market-leading salary, attractive additional benefits, and excellent opportunities for further education and development. Have you become curious? Then we look forward to your application - apply now!

XML job scraping automation by YubHub