Scurta descriere a companiei

BIA – BIA Human Capital Solutions, este in topul celor mai cunoscuti furnizori de servicii profesionale de HR din Romania. De-a lungul a peste 25 de ani de existenta, compania si-a construit un foarte bun renume datorita rezultatelor obtinute si valorii oferite clientilor. Toate aplicatiile primite in atentia noastra vor fi tratate cu maxim de confidentialitate.
Informare cu privire la prelucrarea datelor cu caracter personal
Datele personale puse la dispozitie de dvs. pentru a candida la aceasta pozitie vor fi prelucrate de BIA Human Capital Solutions in scopul identificarii candidatilor potriviti. Datele nu vor fi comunicate altor entitati, cu exceptia clientului pentru care BIA Human Capital Solutions desfasoara procesul de recrutare.
Candidatii vor fi informati de catre personalul BIA Human Capital Solutions care este domeniul in care clientul isi desfasoara activitatea, cat si identitatea clientului, in masura in care aceasta nu a fost explicitata in anuntul de recrutare.
Dupa finalizarea proiectului de recrutare, avand in vedere faptul ca BIA Human Capital Solutions este o companie de recrutare, care isi poate derula activitatea doar daca detine o baza de date de potentiali candidati, urmatoarele date personale vor fi pastrate in baza noastra de date, pentru a va tine la curent cu viitoarele pozitii ce se potrivesc profilului dumneavoastra.
In cazul in care nu sunteti de acord, ne puteti informa prin transmiterea unui e-mail la adresele de contact de pe site-ul nostru.
Va rugam ca inainte sa aplicati la acest anunt de recrutare sa accesati politica noastra de confidentialitate prevazuta pe site-ul nostru. In cazul in care nu sunteti de acord cu modalitatea in care va prelucram datele cu caracter personal, va rugam sa nu aplicati la acest anunt.

Cerinte

Education and training:
University Degree in Computer sciences, cybernetics or any other technical discipline
Experience:
Prior experience of minimum 3-5 years in a related work experience.
Thorough understanding of data lifecycle value chain and underlying components (ETL/ELT, DWH/Data Lake)
Familiar with Azure data ecosystem (ingestion, storage, analytics & data visualization): Azure Ingestion framework, Data Bricks, Azure Synapse, Delta Lake
Data modelling skills (from logical to physical model, different modelling techniques: star schema, snowflake schema
Functional and technical architecture principles
Savvy programming in Python, SQL, DAX and Power BI
Test-driven development
Experience with retail, marketing, supply chain and finance.
Previous experience working in a scaled agile environment
Interpersonal skills:
Strong analytical and problem solving skills
Strong business acumen
DevOps mindset and strong ownership
Teamwork and ability to operate within a large team in a matrix organisation: involves others, shares knowledge and seeks opportunities for cross functional working and collaboration
Languages:
Excellent command of the English language both written & spoken.

Responsabilitati

The Data Engineer is responsible for managing the lifecycle of a data product, from design & build to deployment & maintenance.
In this role, you are responsible for understanding the business needs & rules for a specific set of use cases or data products and to translate those into comprehensive data definitions, data models and data quality requirements.
In your daily interactions, you rely on a thorough understanding of the business processes and underlying data in order to translate raw data into actionable information and insights.
During the design phase, you analyze data sources, define the most suitable data structure depending on the nature of the use case (reporting, analytics, operational), you will define the relationships between different data entities and create data models that reflect the organization's data architecture.
You will collaborate with data scientists, BI developers and analysts to ensure data integrity and accessibility.
You will work with stakeholders to translate business requirements into data structures and ensure that data models support business processes and analytics needs.
You will design, implement, and maintain scalable data pipelines and workflows using Databricks and Azure data framework.
You will ensure data quality, integrity, and compliance with security standards.
You will document processes and workflows to support team knowledge sharing and future development.

Alte informatii

Benefits:
So, put down on the list the advantages of being #mega:
Compensation and benefits varied package;
Hybrid way of working and flexi time;
Meal ticket card;
Annual performance bonus to reward your work across the year;
Discounts for Mega Image Own Brand products;
Internal recognition events for all our colleagues;
Financial support for special events in your life;
Discounts dedicated to book lovers, shopping enthusiasts and to those who want to stay "in shape";
Career path and internal mobility.

Beneficii

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  Abonament medical
  
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  Training-uri
  
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  Program de lucru flexibil
  
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  Laptop
  
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  Telefon mobil
  
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  Tichete de masa