Data Engineer - Flutter Functions, Hybrid
About Betfair Romania Development:
Betfair Romania Development is the largest technology hub of Flutter Entertainment, with over 2,000 people powering the world’s leading sports betting and iGaming brands. Exciting, immersive and safe experiences are delivered to over 18 million customers worldwide, from our office in Cluj-Napoca. Driven by relentless innovation and commitment to excellence, we operate our own unbeatable portfolio of diverse proprietary brands such as FanDuel, PokerStars, SportsBet, Betfair, Paddy Power, or Sky Betting & Gaming,
Our Values:
The values we share at Betfair Romania Development define what makes us unique as a team. They empower us by giving meaning to our contributions, and they ensure that we consistently strive for excellence in everything we do. We are looking for passionate individuals who align with our values and are committed to making a difference.
Win together | Raise the bar | Got your back | Own it | Positive impact
About Flutter Functions:
The Flutter Functions division is a key component of Flutter Entertainment, responsible for providing essential support and services across the organization. The division encompasses various corporate functions, including finance, legal, human resources, technology, and more, ensuring seamless operations and strategic alignment throughout the company
Role Overview:
Flutter's Procurement function governs over $6bn of third-party spend across divisions, regions and brands. It is supported by Sourcing, Category Management, Contract Management, Supplier Risk and Due Diligence teams.
The Procurement Data and Insights team sits alongside these groups to convert raw data into reliable, actionable intelligence for decision making and value delivery.
Reporting to the Senior Data Engineer, the Data Engineer supports the build and operation of procurement data pipelines, governance and analytics on the Databricks platform. The role executes technical work packages defined by the manager, contributing to stable pipelines, well documented datasets and the controls that underpin self-service analytics across Procurement.
The Data Engineer is a hands-on contributor focused on building craft in pipeline development, SQL, data modelling and platform operations. The role works under the technical direction of the manager, with scope to take increasing ownership of defined data products as capability is demonstrated. This is a development-track role with a clear path to senior responsibility over time.
Working alongside the manager, the Insights Manager and technology counterparts, the Data Engineer contributes to integration with upstream and downstream systems, supports schema changes under guidance, and participates in functional testing for data layers prior to release. The role helps maintain master and reference data such as supplier normalisation, keeps catalog and lineage entries current, and applies improvements to performance, reliability and cost effectiveness of the platform under direction. By delivering well built and well documented data products within an established governance framework, the Data Engineer enables dashboards, models and KPIs to be built on a single source of truth.
Key Accountabilities & Responsibilities:
Insight Product Management Support
- 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.
Data Analysis & Visualisation Support
- 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.
Data Operations & Data Science
- 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.
Data Governance & Architecture
- 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.
- Apply AI trust and responsibility guidelines to how data is prepared and consumed.
Skills, Capabilities & Experience Required:
- 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:
- €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
Disclaimer:
We are an inclusive employer. By embracing diverse experiences and perspectives, we create a lasting, positive impact for our employees, customers, and the communities we’re part of. You don't have to meet all the requirements listed to apply for this role. If you need any adjustments to make this role work for you, let us know, and we’ll see how we can accommodate them.
We thank all applicants for their interest; however, only the candidates who best meet the job requirements will be contacted for an interview.
By submitting your application online, you agree that your details will be used to progress your application for employment. If your application is successful, your details will be used to administer your personnel record. If your application is unsuccessful, we will retain your details for a period no longer than three years, to consider you for prospective roles within the company.
