Data Engineer – Enterprise Data, Intelligence

Fourth

Data Engineer designing, building, and maintaining data pipelines and models for Fourth’s Restaurant management solutions. Collaborating with business stakeholders to deliver data products for analytics and AI.

Posted 5/22/2026full-timeSofia • 🇧🇬 BulgariaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AzureCloudETLPySparkPythonSQL

About the role

Key responsibilities & impact

As a Data Engineer on the Enterprise Data & Intelligence team, you will design, build, and maintain the data pipelines and models that underpin Fourth’s single source of truth.
You will gather and translate business requirements into reliable, well-tested data solutions on our Azure-based cloud platform.
You will collaborate closely with analytics engineers and business stakeholders to scope, prioritise, and deliver data products that serve FP&A, Commercial, Product, and AI teams.
As Fourth moves towards an AI-native operating model, you will play a key role in building and maintaining the data infrastructure that enables AI-powered analytics and decision-making across the business.

Requirements

What you’ll need

3+ years in data engineering or a closely related role
Bachelor’s degree in Computer Science, Data Engineering, or a related field
Technical Skills:
○ Strong T-SQL skills and working proficiency in PySpark or Python for data processing.
○ Hands-on experience with MS Azure Storage Explorer and SSMS.
○ Hands-on experience with cloud-based data engineering services and orchestration tools (e.g., Azure Data Factory, Microsoft Fabric).
○ Practical experience building ETL/ELT pipelines and dimensional or analytical data models.
○ Familiarity with CI/CD practices in data engineering, including version control (Git) and automated testing.
○ Active use of AI productivity tools (e.g., ChatGPT, Claude, Copilot, Cursor) as an integrated part of development, testing, documentation, and day-to-day engineering workflows.
Soft Skills:
○ Ability to work collaboratively with both technical and non-technical stakeholders.
○ Good documentation habits and a willingness to communicate technical concepts clearly.
○ Proactive and timely communication on progress, blockers, and dependencies with stakeholders and team members.
○ Strong analytical and problem-solving mindset.
○ Proactive, detail-oriented, and comfortable working in an agile, fast-paced environment.
○ Proficiency in English, both spoken and written.

Benefits

Comp & perks

25+ days off, as well as birthday day off and 4 charity days off per year
Flexible start and end of the working day and hybrid working mode, including a combination remote and in the office
Team-centric atmosphere
Encouraging healthy lifestyle and work-life balance including supplemental health insurance
New parents bonus scheme

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

T-SQLPySparkPythonETLELTdimensional data modelsanalytical data modelsCI/CDversion controlautomated testing

Soft Skills

collaborationdocumentationcommunicationanalytical mindsetproblem-solvingproactive communicationdetail-orientedagile environmentstakeholder engagementtechnical communication