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Data Engineer – Flutter Functions
Betfair Romania DevelopmentData Engineer supporting procurement data pipelines and analytics at Flutter Entertainment in Cluj-Napoca. Collaborating across teams to ensure quality data products and governance.
Tech Stack
Tools & technologiesAirflowAzureBigQueryETLPythonSQLTableau
About the role
Key responsibilities & impact- Execute the product roadmap and backlog.
- Translate epics into technical work packages and sprint plans.
- Capture technical impacts of business requirements and provide effort and risk estimates.
- Feedback recommendations for prioritisation.
- Participate in UAT for data layers and prepare evidence for release sign off by the manager.
- Maintain regression tests for shared datasets.
- Apply QA and continuous improvement practices for data products and pipelines.
- Build and publish certified datasets and contribute to a consistent semantic layer for BI tools.
- Implement KPI definitions and metric calculations as agreed with the Insights team.
- Protect one source of truth.
- Build standard executive and operational dashboards from defined specifications, translating complex data into clear visual outputs.
- Tune performance for shared datasets that power dashboards and scheduled reports.
- Operate the dataset certification and change control process under the manager’s direction, with clear communication of impacts.
- Build and maintain ingestion, transformation and orchestration of procurement data pipelines.
- Align schedules and dependencies with source systems.
- Apply data contracts with sources and consumers.
- Implement schema changes, versioning and backward compatibility under guidance.
- Operate monitoring, alerting and incident response.
- Maintain runbooks and contribute to reducing MTTR and tracking pipeline success rate.
- Support capacity, performance and platform cost management through tuning and right sizing.
- Support master and reference data processes.
- Execute lifecycle management for raw, curated and mart layers in line with the defined strategy.
- Apply data policies, standards and naming conventions.
- Keep documentation current and audit ready.
- Implement the data quality framework and SLAs.
- Apply rules, monitor results and progress remediation through the controlled workflow.
- Apply privacy, access control and retention in line with legal and InfoSec guidance.
- Support role-based access reviews.
- Maintain the data catalog, lineage and business glossary entries to support self-service discovery.
- Contribute to model design for core domains such as suppliers, spend, contracts, POs, invoices and savings, under the manager's direction.
- Execute backup, recovery and resilience procedures to ensure availability targets are met.
Requirements
What you’ll need- Solid foundation in platform operations, with exposure to monitoring, incident response and performance tuning, ideally on Databricks.
- Working knowledge of dimensional modelling, ELT or ETL patterns, and pipeline orchestration.
- Proficiency in SQL and a modern data platform.
- Able to read code, specs and data models and contribute clearly to reviews.
- Hands-on experience applying data quality controls, catalog and lineage practices, and RBAC under an established framework.
- Structured problem solving, documentation discipline, and a continuous improvement mindset.
- Collaborative working style, comfortable taking direction and asking clarifying questions early.
- Bachelor's Degree in a relevant field or equivalent practical experience.
- 2 to 4 years in data engineering or data management, with hands-on contribution to production data pipelines.
- Hands-on experience with SQL and at least one analytics platform such as Databricks, Snowflake or BigQuery.
- Python is a plus.
- Exposure to Databricks is strongly preferred.
- Willingness to deepen Databricks capability rapidly is essential.
- Exposure to orchestration and transformation tooling such as Airflow or Azure Data Factory and dbt.
- Exposure to BI tools such as Power BI or Tableau and building or consuming certified datasets.
- Familiarity with procurement, finance or other enterprise data structures (P2P, sourcing, finance reconciliation) is a plus.
- Demonstrating curiosity and openness toward AI and emerging technologies, with a willingness to continuously learn, adapt, and share knowledge.
- Demonstrated ability to work effectively with diverse teams across various departments, fostering an environment of open communication and shared goals to achieve collective success.
- Demonstrates a strong focus on achieving high-quality outcomes, consistently pushing for greater efficiency and performance.
Benefits
Comp & perks- €1,000 per year for self-development
- Company share scheme
- 25 days of annual leave per year
- 20 days per year to work abroad
- 5 personal days/year
- Flexible benefits: travel, sports, hobbies
- Extended health, dental and travel insurances
- Customized well-being programmes
- Career growth sessions
- Thousands of online courses through Udemy
- A variety of engaging office events
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLData Quality FrameworkDimensional ModellingELTETLPipeline OrchestrationData CatalogData LineageRBACKPI Definitions
Soft Skills
Structured Problem SolvingDocumentation DisciplineCollaborative Working StyleContinuous Improvement MindsetCuriosity and Openness
Certifications
Bachelor's Degree in Relevant Field