Data Engineering Consultant (w/m/x) - Germany

Data Engineering Consultant (w/m/x) - Germany

Qualifications

Job Qualifications

Additional Information

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

Avanade is committed to providing veteran employment opportunities to our service men and women.

As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and to lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look!

Create a future for our people that focuses on

Expanding your thinking Experimenting courageously

The Cloud Security Senior Consultant willbe responsible forassessing and enhancing the security posture of client cloud environments,identifyingvulnerabilities, and recommending remediation strategies.

This role requires a strong focus on both technical security controls and process governance to ensure resilient, compliant, and secure cloud architectures. You will engage directly with clients, guiding them through security assessments, architecture reviews, and implementation plans.

KeyResponsibilities

Assess the security posture of customer cloud workloads and environments toidentifyvulnerabilities and gaps.

Recommend and design security interventions aligned with best practices and compliance requirements.

Evaluate and strengthen configurations for Azure security services, including Microsoft Defender for Cloud, Sentinel, Key Vault, Azure AD (Entra ID), Privileged Identity Management (PIM), Azure Policy, and governance and observability tools such as Azure Monitor and Log Analytics.

Lead andfacilitatesecurity architecture workshops, risk assessments, and governance reviews with client teams.

Collaborate with cross-functional teams to ensure alignment between security, operations, and businessobjectives.

Conduct thorough security risk assessments and ensure mitigation strategies are implemented.

Drive continuous improvement of security processes and controls based on evolving threat landscapes and compliance frameworks.

Ensure adherence to industry frameworks and regulations such as NIST, ISO/IEC 27001, HIPAA, GDPR, andFedRAMP.

Avanade is growing, and we seek motivated and engaged technology people to join our Managed Services team delivering continuous value to our client’s businesses.

As a Dynamics 365 CRM Support Engineer , you bring strong customer engagement functional knowledge and hands-on technical experience to our Shared Services team. This is a hybrid role — you’ll understand CRM business processes across Sales, Customer Service, Marketing and Field Service, while also being able to investigate, configure, customise and resolve technical issues across Dynamics 365 Customer Engagement and the Power Platform. You are energetic and passionate about using Dynamics 365 CRM to solve practical business problems and improve customer outcomes.

You will provide functional and technical support across active client environments, with a focus on Dynamics 365 CRM, Dataverse, model-driven apps and Power Platform automation. You will act as a key point of contact for CRM -related queries, configuration requests, user issues, integrations and low-to-medium complexity enhancements.

You must be an Australian citizen to apply; existing clearance will be viewed favourably.

Essential Functions:

Provide day-to-day functional support for Dynamics 365 CRM applications, including Sales, Customer Service, Field Service, Marketing/Customer Insights and related Power Platform components

Analyse client issues and requests, translating them into functional specifications, configuration changes, automation opportunities or development requirements

Configure and support CRM processes across leads, opportunities, accounts, contacts, cases, queues, SLAs, knowledge management, work orders and customer journeys

Prepare and maintain functional design documentation, technical notes, test scripts, release notes and support runbooks

Facilitate workshops and triage sessions with clients to diagnose issues, confirm requirements and drive practical decisions

Support data migration, data quality, duplicate detection, security role changes and Dataverse configuration activities

Conduct functional and technical testing of configuration changes, customisations, integrations, patches and release items during sprint and release cycles

Manage and prioritise support tickets, ensuring timely resolution aligned to SLA commitments

Contribute to knowledge base articles and shared services documentation to improve team efficiency

Support SIT, end-user training, UAT, release readiness and go‑live activities

Facilitate functional sessions and support status meetings with clients

Own service deliverables including documentation, test plans and support artefacts, taking personal ownership of deliverables and outcomes

We are looking for an experienced Machine Learning Engineer with hands‑on experience in LLMOps, deep learning, statistical modeling, and software development. As part of Data& AI team, you will develop analytics solutions based on machine learning & statistical predictive algorithms for our clients. Together we do what matters

Key responsibilities

• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.

• Prepare advanced data analyses and support in the presentation of results to business stakeholders

• Work with team members and leads to define Data Science use cases using current and emerging technologies

• Transforming data science prototypes and applying appropriate ML algorithms and tools

• Turning unstructured data into useful information by auto-tagging images and text-to-speech conversions.

• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

• Developing ML algorithms to analyze huge volumes of historical data to make predictions.

• Running tests, performing statistical analysis, and interpreting test results.

Additionally, you’ll also be comfortable in working on application development projects for our client who is a reputable business operating within the Alcohol, Tobacco, and Sanitary industry sector.

Shape the future with code, conquer cloud tech, and unleash innovation!

As a Back-End Developer in our Software Engineering team, you will focus on designing and developing mission‑critical enterprise solutions and other customer application development projects. With the agility and energy of a start‑up, backed by the resources of Accenture and the Microsoft Platform, you’ll collaborate with a strong development community who thrive on turning ideas and innovations into breakthrough results for leading organizations around the globe. Ultimately, we’re not just making business better. We’re making life better for our client partners and their customers. Together we do what matters.

Key Responsibilities:

Work with team members to gather and interpret user/system requirements into design specifications.

Design and code applications to functional and technical programming standards.

Develop system specifications and interfaces for complex components.

Create operational documentation for the application.

Provide primary support for installation of application releases into production.

Maintain applications according to SLAs.

Work across the Service Delivery Lifecycle on engineering solutions for new system rollouts, major/minor enhancements, and/or ongoing maintenance of existing applications.

Analyze, design, build, and/or test new components or enhancements to existing modules.