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HotSchedules Corporate Logo HotSchedules Corporate · IT - Software Development

Data Engineer (Enterprise Data & Intelligence)

Bulgaria, Sofia · Job Posted May 26, 2026
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Job Description

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.

Job Responsibility

  • Design, build, and maintain the data pipelines and models that underpin Fourth’s single source of truth
  • Gather and translate business requirements into reliable, well-tested data solutions on our Azure-based cloud platform
  • Collaborate closely with analytics engineers and business stakeholders to scope, prioritise, and deliver data products that serve FP&A, Commercial, Product, and AI teams
  • Build, maintain, and optimise scalable ETL/ELT pipelines (batch and near-real-time) on Azure Data Cloud Platform
  • 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
  • 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
  • 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
  • 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
  • Support performance tuning and cost optimisation across the data platform

Requirements

  • 3+ years in data engineering or a closely related role
  • Bachelor's degree in Computer Science, Data Engineering, or a related field
  • 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
  • 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

Nice to have

  • 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/visualization tools
  • Understanding of data security, privacy, and compliance considerations

What we offer

  • 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
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