Основы

Data Architect

casalecchio di reno, emilia romagna, Italy Компания: JR Italy Клиент / Работодатель: Kantar XTEL
Опубликовано: 18.05.2026
Дата закрытия: 02.07.2026
Рекомендация по вакансии: 232a7f886918cec7d412a8e8be799ada

Информация о вакансии

Расположение
casalecchio di reno, emilia romagna, Italy
Компания
JR Italy
Клиент / Работодатель
Kantar XTEL
Рекомендация по вакансии
232a7f886918cec7d412a8e8be799ada
Тип листинга
Основы
Требуется разрешение на работу в ЕС
Нет
Опубликовано
18.05.2026
Дата закрытия
02.07.2026

Описание должности

About XTEL

Are you an innovative and ambitious professional eager to excel in a dynamic environment? Join XTEL, a leader in providing advanced, AI-driven solutions to consumer goods companies. Our unique combination of cutting-edge technology, industry expertise, and data management accelerates profitable revenue growth and value realization.

Position Overview

We are seeking an experienced Data Architect to be included in a new team focused on the development of the company's DWH. In this context s/he should analyze, design and manage robust data architectures that support our advanced analytics and business intelligence solutions. The ideal candidate will have a deep understanding of data modeling, ETL processes, reporting, data-mesh and, in general, cloud-based data platforms.

Key Responsibilities
  • Design and implement scalable data architectures to support business analytics and reporting needs.
  • Develop and maintain data models, schemas, and data pipelines.
  • Collaborate with data engineers and stakeholders to optimize data pipelines and ETL processes.
  • Ensure data quality, integrity, and security across all data systems.
  • Evaluate and integrate new data technologies and tools to enhance our data infrastructure.
  • Provide guidance and best practices for data management and governance.
  • Work closely with cross-functional teams to understand business requirements and translate them into technical specifications.
  • Monitor and optimize database performance to ensure efficient data retrieval and processing.
Qualifications
  • Bachelor's or Master’s degree in Computer Science, Information Systems, or related field.
  • 5+ years of experience in data architecture, data modeling, and database design.
  • Strong expertise in SQL, python, spark.
  • Experience with cloud-based data platforms, in particular Microsoft Azure.
  • Proficiency in ETL tools, orchestration, data integration technologies.
  • Solid understanding of data warehousing and data processing technologies.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication and interpersonal skills to work effectively with technical and non-technical stakeholders.
Preferred Skills
  • Experience with data governance and data quality frameworks.
  • Strong knowledge of data visualization tools like Tableau or Power BI.
What We Offer
  • Hybrid or full remote working set-up (Technology center in Casalecchio di Reno, Bologna, Italy).
  • Flexible working hours.
  • Competitive Salary Package.
  • A challenging role in a fast-growing AI-driven company.
  • A diverse and international team with strong ownership and a can-do mentality.
  • Opportunities to contribute meaningfully to the organization’s growth and development.
Equal Opportunities Statement

If you have strengths to share, we’d love to hear from you. We value diverse backgrounds and experiences, so don’t hesitate to apply even if you don’t meet all criteria.

XTEL is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.

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Навыки

ABAP Agile Project Management AJAX analyse big data analyse business requirements APL apply ICT systems theory apply statistical analysis techniques apply technical communication skills ASP.NET Assembly (computer programming) assess ICT knowledge build business relationships Business Analytics Business Intelligence business process modelling C CA Datacom/DB cloud technologies COBOL CoffeeScript collect ICT data Common Lisp computer programming create data models create data sets create database diagrams create software design Data Engineering data ethics Data Mining Data Models data quality assessment Data Science data storage data visualisation software Database database development tools database management systems DB2 define data quality criteria define database physical structure define technical requirements deliver visual presentation of data design database backup specifications design database in the cloud design database scheme develop automated migration methods digital data processing documentation types Erlang establish data processes execute analytical mathematical calculations Filemaker (database management systems) Game Theory gather data for forensic purposes Groovy Hadoop handle data samples Haskell Healthcare Analytics IBM Informix ICT project management methodologies ICT security legislation image recognition implement data quality processes Information Architecture information categorisation information confidentiality Information Extraction information structure integrate ICT data interpret current data Java (computer programming) JavaScript LDAP lean project management LINQ Lisp make data-driven decisions manage cloud data and storage manage data manage data collection systems manage database manage quantitative data manage standards for data exchange Marketing Analytics MarkLogic Matlab MDX Microsoft Access Microsoft Visual C++ migrate existing data ML (computer programming) multidisciplinary research MySQL N1QL normalise data Objective-C ObjectStore online analytical processing OpenEdge Advanced Business Language OpenEdge Database operate relational database management system Oracle Relational Database Oracle WebLogic Pascal (computer programming) perform data analysis perform data cleansing perform data mining perform resource planning Perl PHP PostgreSQL Process-based management Prolog (computer programming) Python (computer programming) query languages R report analysis results Research Design resource description framework query language Ruby (computer programming) SAP R3 SAS language Scala Scratch (computer programming) Smalltalk (computer programming) Social Network Analysis SPARQL SQL Server statistical modeling techniques Statistics store digital data and systems Swift (computer programming) systems development life-cycle Systems Theory Teradata Database TripleStore TypeScript Unstructured Data use access control software use data processing techniques use databases use markup languages use spreadsheets software VBScript Visual Basic visual presentation techniques Web Analytics web programming write database documentation XQuery

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