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! 

We are looking to hire Senior/Lead Data Engineer to join our team at Fourth! As a Senior/Lead Data Engineer on our newly formed Enterprise Data & Intelligence team, you will own the end-to-end design, implementation, and strategic direction of our data platform. You’ll build and optimize the pipelines and models that power our single source of truth, and partner with different stakeholders from the business. Your work will enable FP&A, Commercial, Product, and AI teams to make data-driven decisions at scale.

Depending on the leadership experience and potential demonstrated, this role is likely to include line management responsibilities. 

Responsibilities: 

Strategic Leadership & Team Management 

• Define and drive the ED&I data infrastructure strategy, standards, and roadmap.
• Line-manage the Analytics Solution Lead: mentor, set priorities, and ensure value delivery.

Data Platform Architecture & Engineering 

• Architect, build, and optimize scalable ETL/ELT pipelines (batch and near-real-time) on Azure Data Cloud Platform (e.g., Data Lake, Microsoft Fabric, Power Apps).
• Design, document, and maintain robust data models to support BI reporting and ML/AI use cases
• Partner with our Engineering's Data Engineering team to align on tooling and best practices.

Data Quality, Monitoring & Governance

• Implement necessary mechanisms to ensure reliability (i.e. automated testing, CI/CD pipelines, and monitoring (SLAs, alerts))
• Define and enforce data governance standards—lineage, metadata, and quality controls.

Cross-Functional Collaboration 

• Work closely with Analysts, BI Developers, Data Scientists and business partners to translate requirements into production data solutions.
• Provide technical guidance on data readiness for machine learning and analytics projects.

Innovation & Continuous Improvement 

• Evaluate emerging data engineering patterns and technologies; drive DataOps maturity.
• Experiment with AI-driven data engineering tools (e.g., generative-AI code assistants, automated data profiling, smart pipeline generation) to accelerate development.
• Champion performance tuning, cost optimization, and operational excellence across the data platform.

Requirements: 

• 5+ years in data engineering or a related role, with proven leadership of mid-sizedteams or projects
• Expert SQL and proficiency in PySpark
• Hands-on with cloud data services and orchestration tools (e.g. Azure Data Factory, Microsoft Fabric, etc.)
• Strong track record designing and building end-to-end scalable data solutions (ETL/ELT pipelines, data models, ML/AI data readiness, security & privacy and data distribution)
• Understanding of CI/CD practices in data engineering that enable automation, reliability, and scalability — including version control, testing, etc. (e.g., Git, Terraform or equivalent)
• Demonstrated ability to partner with business and technical stakeholders.
• Excellent documentation and presentation skills, translating complex technical concepts to non-technical audiences.
• Strong analytical and problem-solving skills, and the ability to think strategically.
• Proactive, agile, and capable of thriving in high-pressure environments is critical.
• Ambitious and committed to driving innovation and AI adoption.
• Proficiency in English, both spoken and written.

Preferred Qualifications:

• Experience in real-time or streaming data architectures.
• Background in supporting AI/ML workflows (feature pipelines, model deployment).
• Familiarity with Power BI
• Experience using AI tools (e.g., ChatGPT, Gemini, Cursor, Copilot, etc.) to enhance productivity inday-to-day tasks and data engineering tasks
• Bachelor’s or Master’s in Computer Science, Data Engineering, or related field.

What You’ll Gain:

• Impact: Shape the foundation of Fourth’s data culture and single source of truth.
• Leadership: Own a strategic function, potentially grow a hybrid technical–analytics team, and influence enterprise decisions.
• Collaboration: Work side-by-side with product, finance, commercial, and AI teams to deliver tangible business value.
• Growth: Drive the evolution of our data platform and advance your career in a fast-growing SaaS environment

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.