Data Engineer (Enterprise Data & Intelligence)

Fourth is the world’s largest and fastest-growing global leader of end-to-end restaurant and hospitality management technology solutions. We pride ourselves on delivering a world-class SaaS experience for our clients by building long term partnerships starting from the first phone call. We know our recipe for success at Fourth is our amazing team... and that starts with hiring the right people!

Interested in joining our smart, fun, and talented team?

Position Overview

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.

Responsibilities:

Data Pipeline Development & Optimisation

• Build, maintain, and optimise scalable ETL/ELT pipelines (batch and near-real-time) on Azure Data Cloud Platform (e.g., Data Lake, Microsoft Fabric, Azure Data Factory).
• Develop and refine data models to support BI reporting, analytics, and ML/AI use cases.
• Write efficient, well-documented T-SQL and PySpark code following team coding standards.

Data Quality, Testing & Governance

• Implement automated testing, data validation, and monitoring (SLAs, alerts) to ensure pipeline reliability.
• Contribute to data governance practices, including lineage tracking, metadata management, and quality controls.
• Support CI/CD pipelines for data assets, ensuring version control and reproducibility.

Requirements Scoping & Cross-Functional Collaboration

• Partner with Analytics Engineers to scope, refine, and prioritise data requirements from business stakeholders.
• Work with Analysts, BI Developers, Data Scientists, and business teams to translate requirements into production-ready data solutions.
• Provide input on data readiness for machine learning and analytics projects.

Platform Contribution & Continuous Improvement

• Contribute to the evolution of the data platform, including tooling, standards, and documentation.
• Stay current with emerging data engineering patterns and technologies; propose improvements to team processes.
• Use AI as an integral part of the development workflow: code generation, data profiling, testing, documentation, and task management.
• Contribute to building a data platform that is AI-ready: well-documented, semantically clear, and structured for reliable consumption by AI tools and agents.
• Support performance tuning and cost optimisation across the data platform.

Key Skills and Competencies

• 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.

Preferred Qualifications:

• Experience with real-time or streaming data architectures.
• Experience with PowerShell, Apache Kafka, and/or KQL.
• Exposure to AI/ML workflows (feature engineering, data preparation for model training).
• Familiarity with Power BI or other BI/visualisation tools.
• Understanding of data security, privacy, and compliance considerations.

Benefits and Culture:

· 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

*Only short-listed candidates will be contacted.

All personal data provided by you in your application will be processed by Fourth Bulgaria EOOD, UIC 203576042, solely for our recruitment purposes. If you do not provide your personal data, Fourth Bulgaria EOOD will not be able to review your application.

Fourth

Bulgaria will transfer your personal data only within its corporate group and to companies which provide recruitment support to Fourth Bulgaria.

Fourth

Bulgaria will ensure you can exercise your rights to access, correction and erasure of your personal data. More information on Fourth Bulgaria’s privacy policy for job candidates is available here and by applying you confirm that you have read it.