Full Stack Data Engineer
Engineering Albania
/job-details/2832
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**Company Overview:**
**Engineering Albania**
is a member of Engineering Group, leading digital transformation company based in Italy, with around 14,000 associates and over 80 offices across Europe, the United States, and South America. The Engineering Group consists of more than
**50 companies in 21 countries**
and supports businesses and organizations in their continuous evolution through deep expertise in business processes across all market segments, leveraging the opportunities offered by advanced digital technologies such as Artificial Intelligence, Digital Twin, Cybersecurity, and Cloud, as well as proprietary solutions, backed by over
**40 years of experience**
.
The Group integrates best-of-breed market solutions and managed services and continues to expand its expertise through
**M&A activities and partnerships**
with leading technology players.
Engineering invests heavily in
**innovation**
through its R&I division and in human capital through its
**IT & Management Academy**
.
The Engineering Group positions itself as a key player in the creation of digital ecosystems to connect different markets, developing composable solutions for continuous business transformation.
**Job Description**
We are looking for a
**Full Stack Data Engineer**
with hands-on experience in
**Microsoft Fabric**
to support the design, development, and maintenance of modern data solutions. This role combines backend data engineering with frontend analytics, focusing on building scalable data pipelines, optimizing data models, and delivering clear, actionable insights through interactive dashboards.
**Key Responsibilities**
- Design, develop, and maintain data pipelines within the
**Microsoft Fabric**
ecosystem.
- Use
**SQL**
for data processing, modeling, transformation, and performance optimization.
- Manage and integrate datasets using
**OneLake**
.
- Build, publish, and maintain
**Power BI**
dashboards and reports.
- Perform backend data transformations using Fabric Data Engineering workloads.
- Support frontend data visualization and analytics for business stakeholders.
- Participate in knowledge transfer, solution evolution, and best practice alignment.
- Implement
**Spark-based**
data processing when needed.
**Skills and Qualifications:**
- **Microsoft Fabric**
(Data Engineering, Data Factory, Lakehouse, OneLake)
- **Microsoft Power BI**
(data modeling, DAX, visualizations)
- Strong knowledge of the
**SQL language**
- Solid understanding of data pipeline architecture and ETL/ELT workflows
- Familiarity with
**Spark**
for distributed data processing
- Ability to work effectively across backend and frontend data layers
- Strong analytical mindset and attention to data quality
**What You Can Expect:**
- Competitive compensation depending on experience and skills;
- Hybrid work model, option to choose/combine work from home/office;
- Private health insurance;
- FitPass;
- Opportunity to learn 7 different languages using our E-learning platform;
- Great colleagues, open informal, and fun atmosphere;
- Chance to be part of a professional and highly dynamic international environment.
**We are looking forward to meeting you. Good Luck!**
**Engineering Albania**
is a member of Engineering Group, leading digital transformation company based in Italy, with around 14,000 associates and over 80 offices across Europe, the United States, and South America. The Engineering Group consists of more than
**50 companies in 21 countries**
and supports businesses and organizations in their continuous evolution through deep expertise in business processes across all market segments, leveraging the opportunities offered by advanced digital technologies such as Artificial Intelligence, Digital Twin, Cybersecurity, and Cloud, as well as proprietary solutions, backed by over
**40 years of experience**
.
The Group integrates best-of-breed market solutions and managed services and continues to expand its expertise through
**M&A activities and partnerships**
with leading technology players.
Engineering invests heavily in
**innovation**
through its R&I division and in human capital through its
**IT & Management Academy**
.
The Engineering Group positions itself as a key player in the creation of digital ecosystems to connect different markets, developing composable solutions for continuous business transformation.
**Job Description**
We are looking for a
**Full Stack Data Engineer**
with hands-on experience in
**Microsoft Fabric**
to support the design, development, and maintenance of modern data solutions. This role combines backend data engineering with frontend analytics, focusing on building scalable data pipelines, optimizing data models, and delivering clear, actionable insights through interactive dashboards.
**Key Responsibilities**
- Design, develop, and maintain data pipelines within the
**Microsoft Fabric**
ecosystem.
- Use
**SQL**
for data processing, modeling, transformation, and performance optimization.
- Manage and integrate datasets using
**OneLake**
.
- Build, publish, and maintain
**Power BI**
dashboards and reports.
- Perform backend data transformations using Fabric Data Engineering workloads.
- Support frontend data visualization and analytics for business stakeholders.
- Participate in knowledge transfer, solution evolution, and best practice alignment.
- Implement
**Spark-based**
data processing when needed.
**Skills and Qualifications:**
- **Microsoft Fabric**
(Data Engineering, Data Factory, Lakehouse, OneLake)
- **Microsoft Power BI**
(data modeling, DAX, visualizations)
- Strong knowledge of the
**SQL language**
- Solid understanding of data pipeline architecture and ETL/ELT workflows
- Familiarity with
**Spark**
for distributed data processing
- Ability to work effectively across backend and frontend data layers
- Strong analytical mindset and attention to data quality
**What You Can Expect:**
- Competitive compensation depending on experience and skills;
- Hybrid work model, option to choose/combine work from home/office;
- Private health insurance;
- FitPass;
- Opportunity to learn 7 different languages using our E-learning platform;
- Great colleagues, open informal, and fun atmosphere;
- Chance to be part of a professional and highly dynamic international environment.
**We are looking forward to meeting you. Good Luck!**
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