Senior/Lead Data Engineer

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 team's data strategy, standards, and roadmap.-          Mentor others, set priorities, and ensure value delivery. Data Platform Architecture & Engineering -          Architect, build, and optimize scalable ETL/ELT pipelines (batch and near-real-time) on cloud platforms (e.g., Azure Data Factory, Microsoft Fabric).-          Design, document, and maintain robust data models to support reporting and 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, automateddata profiling, smart pipeline generation) to accelerate development.-          Champion performance tuning, cost optimization, and operational excellence across the data platform. Requirements: -          Experience: 5+ years in data engineering or a related role, with proven leadership skills-          Expert SQL and proficiency in Python (or Scala/Java).-          Hands-on with cloud data services and orchestration tools (e.g., Airflow, Azure Data Factory, Microsoft Fabric).-          Strong track record building scalable ETL/ELT pipelines and data models.-          Familiarity with CI/CD for data (Git, Terraform, automated testing).-          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.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.
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