Data Engineer Microsoft Azure (m / w / d), Permanent contract

Do you want to not only experience but actively shape the unique

DNA

of

Microsoft ? Then

Devoteam M Cloud

is the right place for you! Our core business is cloud-based enterprise customer projects, where we drive the most modern Microsoft technologies. The building blocks that distinguish us : 2,100 Microsoft certifications completed in 2022 1,000 Microsoft experts in EMEA 600 customers 25 years of industry experience 18 Advanced Specializations – including “Azure Virtual Desktop Advanced Specialization” and “Modernization of Web Applications to Microsoft Azure” 6 Solution Partner Designations 3 MVPs Imagine being part of one of the most successful IT companies in Europe, leveraging the latest technologies with its customers to elevate them to the next level. Apply now at

Devoteam M Cloud! #Creative Tech For Better Change Your Benefits :

In addition to our revolutionary New Way of Work culture, you’ll enjoy : Modern offices

in prime locations in Munich, Frankfurt, and Stuttgart Flexible remote or hybrid working

with the option to customize your working hours and locations to your individual needs Our

Devoteam Academy

offers a wide range of certified trainings and language courses International development opportunities

to boost your career at Devoteam Gaming lounge

for your creative break between meetings and calls Get-together parties and team events

for regular exchange and fun with your colleagues Employee referral bonuses

for attracting new employees Modern IT equipment

– choose the product that suits you best from a variety of options Corporate benefits

with a large selection of numerous offers for almost every area “Jobrad” (company bike)

offer with attractive tax advantages for you Company pension scheme, direct insurance, and capital-forming benefits

are available to you as additional services Integration Day including mentoring programs

for your perfect start at Devoteam Job Description

Design, build, and maintain

scalable data pipelines using Azure Data Services, Databricks and / or Microsoft Fabric. Consolidate

structured / unstructured data into governed lakes and warehouses for BI and AI use cases. Implement

robust data models and storage architectures (Star, Snowflake, Medallion). Ensure

data integrity and quality, lineage, security, and governance across the full lifecycle. (Optional)

Automate

workflows using Azure DevOps, GitHub Actions, or other CI / CD tools. Collaborate

in client workshops, translating requirements into technical Azure-native solutions. Optimize

performance and cost efficiency of the data infrastructure. Example Use Cases You Will Work On : Modernize legacy ETL workflows with Azure-native services. Build semantic models for enterprise BI using Star / Snowflake schema. Design medallion-structured ingestion flows to enable batch or near-real-time analytics. Deliver curated, governed data products for BI and AI use cases. Qualifications

Must-Haves : 3+ years of real-world project experience as a

Data Engineer in Azure ecosystems. fluent in german and english Advanced

SQL

and

performance tuning. Strong background in dimensional

data modeling

and

familiarity with ETL patterns , like

medallion architecture. Hands-on experience with

Azure Data Factory, Synapse, Databricks, and ideally Microsoft Fabric. Nice-to-Haves : Proficiency in

Microsoft Power BI. Exposure to

Data Mesh or domain-oriented data architectures. Experience with

Delta Lake, Unity Catalog, or Feature Store. Soft Skills Strong communication and documentation skills (German & English). Agile, delivery-oriented mindset. Collaborative and self-directed approach. Analytical thinking with a focus on value delivery. Ability to translate business requirements into technical solutions. Experience working in agile, cross-functional teams. Additional Information

You will be part of a collaborative, remote-friendly team that values continuous learning and delivering impact through modern cloud-native data solutions. Amsterdam . Netherlands | #Management Consultant

What you’ll be doing If you like these keywords you’ll love this role : #jira #workflows #projectmanagement #documentation #software Do you have experience with Atlassian products such as Jira, Confluence or Bitbucket? We’re looking for an Atlassian Consultant who loves to configure and optimize Atlassian tools for our clients. The end goal : ensure seamless collaboration experiences within and between the teams of our clients’ organizations. You’ll be part of our multidisciplinary Innovative Tech team, where DevOps, Agile, Cloud & Software Engineering experts all work together to create remarkable solutions based on cutting-edge technology. In this role you work with your team on projects such as optimizing the Jira / Confluence environments of our clients so that the experience of end-users improves, supporting Atlassian cloud migrations, configuring new Bitbucket environments, and so on. Together, we empower leading enterprises & governments to bring positive change to the world with cutting-edge technology & digital strategies. Skhirat . Morocco | #Other Support Functions

Porto . Portugal | #Cloud & Devops Engineer

We are looking for a DevOps Engineer to join Devoteam Distributed Cloud unit to work within a Banking Sector project for a client of ours. Devoteam Distributed Cloud unit is our multi cloud strategy and identity within the group Devoteam. We focus on developing solutions end to end within GCP, AWS or Azure and its technologies. We will rely on you to Suggest improvements and optimizations that can be implemented in customer Resolve incident tickets and requests that customers make; Teamwork along with the company's internal teams as well as customer resources; Training, workshops and technical explanations for the customer and internal teams; Use of project development tools (DevOps, Jira, etc.); Follow-up and coordination of changes and technical operations (electrical shutdown, servers move, etc.); Drafting / major of instructions; Document the components and operation of applications : software architecture, technical architecture, procedures, supervision needs, etc; Production of new versions of applications; Management of treatment scheduling; Carry out the commissioning of the new versions of applications in collaboration with the teams in charge of the development and maintenance of these applications and on the other hand with the technical teams : Systems engineers, Databases, Work and network possibly. Translate business needs to technical specifications Design, build, and maintain charts, dashboards, and KPIs Design & build BI test cases Facilitate the UAT workshops with the with business Play key roles in building RSD (Report Specs Document) and KPI cards Participate heavily in designing & building BI user guides and awareness sessions Conduct unit testing and troubleshooting Story-telling using data visualization Communicate with data warehousing and BI storage tools (e.g. OLAP cubes) to get the data for the visualizations Evaluate and improve existing BI systems Develop and execute SQL database queries and conduct analyses Work with different data format; structured, semi-structured, and geospatial Data cleansing and normalization when needed Perform descriptive, diagnostic, and predictive analysis on the data Levallois-Perret . France | #Offensive CyberSecurity Engineer

Levallois-Perret . France | #Strategy Consultant

Frankfurt am Main . Germany | #Data Scientist

Within our N Platform department, you will have a focus on a portfolio of ServiceNow projects. As Project Manager, you will be responsible for managing our ServiceNow implementation projects on behalf of our clients. You may also be involved in pre-sales activities : understanding client needs and estimating timeframes / effort / cost associated. Tasks & Responsibilities Manage project initiation activities, which include the identification of contractual obligations, client needs and goals, existing situations, and necessary contacts. Gain access to existing information as needed; Plan and coordinate all aspects of project management from initiation through delivery Perform analysis of utilization of resources for projects in execution and measuring for future resource allocation needs; Financial reporting of the project revenue and forecast; Develop, define, and execute project plans, project scope, activities, schedules, budgets and deliverables; Identify needed resources for projects while defining and assigning major project roles; Ensures project completion is on schedule, within budget constraints, and of the appropriate quality standards for the project scope; Manage project risks, issues / problems, and activity progress to ensure project goals (e.g., deadline, scope and quality) are achieved; Identify project management coordination process gaps or areas for improvement. Recommends and implements solutions Oversee the delivery of ServiceNow services to ensure they meet agreed service levels and quality standards. 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. As a Senior Data Scientist\Machine Learning Engineer at Devoteam, you will be responsible for developing, implementing, and optimizing advanced data-driven algorithms, including classification, regression, recommender systems, and user segmentation models. You will collaborate with cross-functional teams to identify opportunities for improvement and deliver impactful insights that drive business success Key responsibilities : Identifying relevant data sources for business needs. Processing, cleansing, and Organising data into usable formats. Conduct in-depth research and analysis on large datasets to uncover hidden patterns, correlations, and trends Apply data mining techniques such as association rule discovery, classification, and clustering Conduct thorough EDA to understand underlying patterns, correlations, and anomalies in complex datasets Transform and preprocess raw data to create meaningful features that can improve model performance. Develop, evaluate, and deploy predictive machine learning models to drive actionable insights. Communicate complex data findings in a clear and concise manner to non-technical stakeholders Stay up-to-date with the latest advancements in data science, machine learning, and industry best practices, continuously seeking opportunities to improve methodologies and processes. Advanced Technical Skills : Mastery of programming languages like Python or R, expertise in data manipulation, machine learning algorithms, and statistical analysis. Data Manipulation :

• Proficiency in working with large datasets, data cleaning, preprocessing, and transforming data into usable formats. Machine Learning Expertise :
• Experience in selecting and implementing appropriate machine learning algorithms, model evaluation, hyperparameter tuning, and dealing with bias and fairness issues.

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