GSL Enterprise Support
Data Engineer
Skills
10 days ago
Share this opportunity
Share this opportunity to other talents of your network:
✓ Offer them a visibility boost with clients.
✓ Help your contacts find their next job.
Important information
Contract type:
Permanent
Location:
Tiranë, Albania
Work mode:
Onsite
Published on:
12 October 2026
What they need
SCOPE:
The Data Engineer will work as part of the Data Analytics team, reporting to the Sr. Director of Marketing and Advanced Analytics. This role will work with IT and Advanced Analytics to bridge the gap between raw data infrastructure and business intelligence, build reliable pipelines, curated data models, and scalable reporting solutions.
Qualifications:
- Bachelor's degree in a relevant field (e.g., Statistics, Mathematics, Computer Science, Business) or equivalent practical experience.
- Proven experience as a Data Engineer with a minimum of 2-3 years in a similar role.
- Proficiency in data engineering tools such as SQL, Python, R, or other relevant languages.
- Experience with data visualization tool (Power B).
- Strong analytical and problem-solving skills with a keen attention to detail.
- Excellent communication skills to convey complex data findings to non-technical stakeholders.
- Self-motivated with the ability to work both independently and collaboratively in a fast-paced environment.
SKILLS:
· Skills Required: Python, MySQL, PySpark, NoSQL, SQL Server, Windows, Linux(Shell, API, Batch scripting), GIT, Documentation, Azure, Data Warehousing, Snowflake
· Good to have: PostgreSQL, Full Stack Web Dev, UNIX, API Development, Automation Development, MS Office tools development, PBI/Tableau/Google Analytics, DevOps Automation, Fivetran
DUTIES AND RESPONSIBILITIES:
- Build and maintain data pipelines between source data and analytical databases.
- Implement and evangelize engineering best practices for sustainable and scalable delivery.
- Work with solution architect, Data Modelers, BI Analysts and Product Managers to take an active role in solution design.
- Help identify MVP and iterative design approach in an agile framework.
- Identify necessary business rules for extracting data along with functional and technical risks related to data sources.
Develop initial Queries for profiling data, validating analysis, testing assumptions, driving data quality assessment specifications, and define path to deployment.
If you feel you are a good fit for this role, send your CV to: [email protected]
Other offers great for you!
These companies are also looking for great profiles
Sparagus
Data Engineer
Permanent contract
Liège, Belgium
Onsite
Skills
5 days ago
Quick apply
FreelanceRepublik
Data engineer
Freelance
Paris, France
Hybrid
Skills
3 days ago
Quick apply
Visian
AI Data Engineering
Freelance
Paris, France
Hybrid
Top Recruiter
Skills
2 days ago
Quick apply
No company information available.