Pagrindinis

Data Engineer

pavia, lombardia, Italy Įmonė: JR Italy Klientas / Darbdavys: Amaris Consulting
Paskelbta: 19.05.2026
Galutinė data: 03.07.2026
Darbo nuoroda: ccb1440a10d6ecd982f26c5569a035a1

Informacija apie darbą

Vieta
pavia, lombardia, Italy
Įmonė
JR Italy
Klientas / Darbdavys
Amaris Consulting
Darbo nuoroda
ccb1440a10d6ecd982f26c5569a035a1
Skelbimo tipas
Pagrindinis
Reikalingas ES darbo leidimas
Ne
Paskelbta
19.05.2026
Galutinė data
03.07.2026

Darbo aprašymas

Join our team and start a new adventure in an international and dynamic environment, where you will be able to fulfil your career expectations in a fast-growing organization.

As a Data Analyst Consultant at Amaris Consulting, you will play a key role in designing, building, and maintaining data pipelines and solutions that support critical business decisions. You will work hands-on with Azure data flow management, pipeline creation, and credential access configuration to ensure data security and consistency.

Your Missions

  • Design, develop, and maintain data pipelines using Azure Data Factory
  • Manage and monitor data flows across cloud environments
  • Extract, transform, and load (ETL) data into SQL databases
  • Model and structure data to enable analysis and reporting
  • Implement and maintain secure access and credential management within Azure
  • Collaborate with cross-functional teams to support business intelligence initiatives
  • Proactively identify opportunities to optimize data processes and performance
  • Provide technical support and documentation for data solutions

Your Profile

  • Experience in data analysis, data integration, and data flow management
  • Proven knowledge of SQL and relational database concepts
  • Experience with Azure services, particularly Data Factory, SQL Database, and Data Lake
  • Familiarity with ETL/ELT processes and data modeling techniques
  • Experience in PowerBI
  • Academic background: Computer Science, Mathematics, Statistics, Information Technology, or related field
  • English & Italian, fluent.
  • You demonstrate strong problem-solving skills and the ability to work autonomously
  • You demonstrate a proactive attitude, curiosity, and a genuine desire to learn and grow in the field
  • You demonstrate excellent communication and interpersonal skills
  • You demonstrate the ability to collaborate in a multicultural environment
  • Based in or near Milan (or willing to work in the area)

What We Offer

  • An international community bringing together 110+ different nationalities
  • An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities
  • A robust training system with our internal Academy and 250+ available modules
  • A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.)
  • At Mantu, sustainability is part of everything we do. You’ll have the opportunity to turn your ideas into action and make a tangible impact. Every day, our teams bring our ESG commitments to life, from reducing our footprint to driving positive change within our communities. Through our WeCare Together program, you’ll be empowered to design and lead projects that create real social or environmental impact, with the company’s full support.

Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.

Įgūdžiai

analyse big data analyse pipeline database information apply statistical analysis techniques Business Analytics Business Intelligence cloud technologies collect ICT data Computer Science create data models create data sets Data Analytics Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data storage data visualisation software Data Warehouse Database database management systems define data quality criteria deliver visual presentation of data design database in the cloud develop data processing applications digital data processing documentation types establish data processes execute analytical mathematical calculations Game Theory gather data for forensic purposes Hadoop handle data samples Healthcare Analytics image recognition implement data quality processes implement data warehousing techniques Information Architecture information categorisation information confidentiality Information Extraction information structure integrate ICT data interpret current data LDAP LINQ make data-driven decisions manage cloud data and storage manage data manage data collection systems manage ICT data architecture manage quantitative data manage research data Marketing Analytics MDX multidisciplinary research N1QL normalise data online analytical processing perform data cleansing perform data mining perform dimensionality reduction process data query languages report analysis results Research Design resource description framework query language SAS Data Management Social Network Analysis SPARQL statistical modeling techniques Statistics store digital data and systems Teradata Database Unstructured Data use data processing techniques use databases use spreadsheets software visual presentation techniques Web Analytics XQuery

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