Azure Senior Cloud Architect

Devoteam Alegri GmbH; Milano; In loco; EUR 40.622 - 48.657; Tempo pieno

Vantaggi offerti da questo lavoro

Attractive compensation package

Opportunities for training and certification

Warm and collaborative work culture

Descrizione del lavoro

Devoteam Alegri GmbH in Milano seeks a mid-level Data/AI Engineer to join their Data & AI Factory team. This position involves developing Python backend services and maintaining data pipelines that turn raw cloud data into actionable insights, primarily focusing on compliance and security.

The right candidate will have skills in data engineering, AI tooling, and familiarity with cloud environments like Azure or GCP. The role offers growth opportunities and a supportive team culture.

Competenze

• Mid-level experience as a Data/AI Engineer.
• Familiarity with data pipelines and transformations.
• Good understanding of AI concepts.
• Exposure to public cloud environments.

Mansioni

• Work within the Data & AI Factory team supporting customer data projects.
• Design, build, and troubleshoot data pipelines and models.
• Develop Python services and maintain data observability solutions.
• Collaborate across teams on compliance and security data.

Conoscenze

Python backend development

Data engineering

AI systems

SQL

Cloud computing

Communication skills

Formazione

Bachelor's degree in a relevant field

Strumenti

Dataiku

Azure

GCP

OpenAI SDK

Databricks

Descrizione del lavoro

Job Description

Qualifications

Additional Information

Soft Skill Richieste:

For a prestigious customer - we are looking for dedicated Data / AI Engineers (Lead Engineer and seniors to leverage their extensive experience in Data engineering, AI and public cloud areas, to interpret our customers’ business and technical requirements in order to extract the value from their data, using Dataiku and GCP products and services as well as other industry-known technologies.

In this position you will:

• work as part of the Data & AI Factory team, working with the customer to support their data-ops and AI projects
• be involved in designing, building, maintaining and troubleshooting data pipelines, models and transformations
• help to build, maintain and troubleshoot data observability solutions to improve data quality
• help turn data into valuable business insights, preparing custom solutions optimised for each client
• act as a trusted advisor for junior team members
• lead by example

Note: this position may require on-call work, including overnight and weekend availability.

You're a mid-level engineer who enjoys breadth, you're comfortable writing Python backends, curious about AI, and not afraid of data pipelines. You don't need to be an experienced in everything yet but you're motivated to grow across all three areas. You like picking up new tools quickly, you communicate well, and you get things done.

The role

You'll be working on our Managed Cloud Compliance product, a platform that collects, transforms and reports security and compliance data from Azure, AWS, and GCP environments. Your work will span three areas:

• Python backend development, building and maintaining the services and APIs that power the platform;
• Agentic AI & AI-assisted development, working with modern AI tooling (including Claude Code, MCP, OpenAI SDK, and similar technologies) to build intelligent, automated workflows and solutions;
• Data engineering, designing and maintaining data pipelines that turn raw cloud data into actionable compliance insights.

This is a role with a wide scope and real room to grow. We're a team that actively explores and adopts new technologies, so if you like staying on the edge, you'll fit right in.

What You will do:

• Develop and maintain Python backend services and data pipelines;
• Build and iterate on agentic AI solutions as part of our product;
• Collect, transform, and model data from cloud platforms (Azure, AWS, GCP);
• Collaborate with security, compliance, and platform engineers across the team;
• Contribute ideas, there's room to shape how things are built here.

What we are looking for:

• Some exposure to data engineering concepts, pipelines, SQL, and data transformation;
• Curiosity about AI and agentic systems; hands-on experience is a plus, not a must;
• Familiarity with at least one public cloud environment (Azure preferred);
• Good communication skills in English and Lithuanian;
• A growth mindset - you're motivated to develop across backend, AI, and data.

Nice to have:

• Experience with data tools like Databricks or similar;
• Familiarity with AI development tools (LLM APIs, MCP, Claude Code, or similar).

What You can look forward to:

• Becoming a part of a very specialized team that will support your ability to succeed;
• A challenging and exciting career with an international perspective and opportunities;
• Attractive compensation package with a mix of fixed and variable;
• High level of trust and competency to make your own decisions;
• A warm and talented culture with a focus on business, but knowing that family always comes first;
• Access to an international network of specialists within the organization to build your rep and skills;
• Salary from 4000 EUR gross (depending on the experience and competencies).

At Devoteam, we have created a culture of honesty and transparency, inclusion, and cooperation, which we value a lot. We are looking for colleagues who are highly motivated and proactive, not afraid of challenges. We are highly invested in the career path development of our employees, and we offer and support possibilities for further training, certification, and specialization.

Frankfurt am Main . Germany | #Business Automation Consultant

Madrid . Spain | #Offensive CyberSecurity Engineer

• Antivirus

Levallois-Perret . France | #Offensive CyberSecurity Engineer

Lisboa . Portugal | #Quality Assurance Analyst

Job Summary

We are seeking a highly analytical and proactive QA & Test Operations Consultant to join our project team. In this role, you will be the bridge between technical development and business requirements, ensuring that every solution delivered meets the highest standards of quality and client satisfaction. You will be responsible for the end-to-end testing lifecycle—from defining acceptance criteria to managing defect resolution—within an Agile environment.

As the lead for test operations, your primary focus will be ensuring the integrity of our software solutions. Your core deliverables include:

Test Strategy & Acceptance: Develop, document, and operationalize comprehensive test acceptance criteria (UAT) to ensure all features align with business goals.

Requirement Validation: Methodically ensure the thorough testing of all customer requirements, leaving no stone unturned in the functional and non-functional specifications.

Defect Management: Oversee the lifecycle of errors and bugs detected during testing, ensuring they are correctly identified, logged, prioritized, and resolved by the development team.

Process Optimization: Utilize Agile and Scrum methodologies to streamline testing workflows and improve speed-to-market without compromising quality.

Lisboa . Portugal | #Risk & Compliance Engineer

• Provide support to stakeholders filling the risk cards;
• Review and challenge content of the risk cards to ensure they meet expected quality;
• Design and continuous improvement of the action plan follow-up;
• Ensure actions plans are formalized with all needed information;
• Follow-up and reporting (figures, alerts,…) of risks register entries and action plans in order to provide an accurate and up-to-date risk view and Assist in reporting and preparation of regular Function/Metier/Region IT risk and control committees.

Play a key role in designing and implementing data models that support the client's data-driven initiatives.

As a Data Modeler, you will work closely with the data architects, data analysts, and business stakeholders to understand their data requirements and translate them into logical and physical data models. You will also be responsible for ensuring the accuracy, completeness, and consistency of the data models, as well as maintaining their documentation and metadata. Your expertise in data modeling tools and techniques, as well as your ability to communicate complex data concepts to non-technical stakeholders, will be critical to the success of our data-driven projects.

Tunis . Tunisia | #Data Governance Consultant

Design and implement the data governance framework, operating model, and roles and responsibilities.

Develop and implement data governance process workflows.

Conduct requirement gathering and business analysis related to data governance initiatives.

Support data architecture activities in coordination with data governance objectives.

Participate in data maturity assessment sessions, gap analysis, and alignment with Enterprise Architecture teams and data strategy.

Coordinate with project teams to ensure that data standards and models align with enterprise architecture and applicable standards.

Define data governance–related roles and responsibilities, processes, and procedures.

Establish a common understanding and visibility of all organizational data assets.

Build strong working relationships with business stakeholders and provide business-impact-driven analysis, communicating results effectively.