Senior Data Engineer - Flutter Functions, Hybrid

Senior 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

The Role :

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 Procurement Data and Insights Lead, the Senior Data Engineer is responsible for managing all procurement related data pipelines, governance and analytics through the Databricks platform. The role executes the roadmap and priorities set by the Lead, translating business requirements into stable pipelines, trusted datasets and audit-ready controls. The Senior Data Engineer owns day to day data operations, data quality and policy execution, privacy and access management, lifecycle and storage, monitoring and incident response, and the certification and documentation that underpin self-service analytics across Procurement. The Senior Data Engineer is expected to lead and be responsible for the work of the whole of the data engineering team, and as such be able to lead by example. This is a technical role with a potential management responsibility later in the role’s development path. In the first instance, as the first member of the data engineering team – they are the whole of the team.

Working closely with the Lead, the Insights Manager and technology counterparts, the Senior Data Engineer ensures robust integration with upstream and downstream systems, manages schema changes and data contracts, and leads functional testing for data layers prior to release. The role stewards master and reference data such as but not limited to supplier normalisation, maintains the catalogue and lineage, and continuously improves performance, reliability and cost effectiveness of the platform. By delivering scalable, well governed and well documented data products, the Senior Data Engineer enables dashboards, models and KPIs to be built on a single source of truth and ensures data is not just reported but usable for measurable impact across the Procurement function.

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.
• Coordinate UAT for data layers and provide release sign off to the Lead. Maintain regression tests for shared datasets.
• Embed QA and continuous improvement practices for data products and pipelines.

Data Analysis & Visualisation Support:

• Publish certified datasets and a consistent semantic layer for BI tools.
• Maintain KPI definitions and metric calculations in partnership with the Insights team. Protect one source of truth.

• Design and curate standard executive and operational dashboards, translating complex data into clear, decision-ready visual narratives.
• Enable scalability and performance for shared datasets that power dashboards and scheduled reports.
• Operate the dataset certification and change control process with clear communication of impacts.

Data Operations & Data Science:

• Own ingestion, transformation and orchestration of procurement data pipelines. Align schedules and dependencies with source systems.
• Manage data contracts with sources and consumers. Control schema changes, versioning and backward compatibility.
• Operate monitoring, alerting and incident response. Maintain runbooks, reduce MTTR (Mean Time to Recovery) and track pipeline success rate.
• Manage capacity, performance and platform cost with proactive tuning and right sizing.
• Own master and reference data processes.
• Run lifecycle management for raw, curated and mart layers. Plan archival and reprocessing strategy.

Data Governance & Architecture:

• Implement data policies, standards and naming conventions. Keep documentation current and audit ready.
• Own the data quality framework and SLAs. Define rules, monitor results and drive remediation through a controlled workflow.
• Manage privacy, access control and retention in line with legal and InfoSec guidance. Operate role-based access with regular reviews.
• Maintain the data catalogue, lineage and business glossary to support self-service discovery.
• Steward model design for core domains such as suppliers, spend, contracts, POs, invoices and savings. Validate integration design with technology teams.
• Plan and test backup, recovery and resilience to ensure availability targets are met.
• Apply AI trust and responsibility guidelines to how data is prepared and consumed.

Skills & Capabilities

• Strong platform operations mindset with experience in monitoring, incident response, reliability and performance tuning, specifically using Databricks.
• Capable to lead and be responsible for the work of the whole of the data engineering team.
• Strong understanding of dimensional and data vault modelling, ELT or ETL patterns, and pipeline orchestration.
• Proficiency in SQL and modern data platforms. Comfortable reviewing code, specs and data models.
• Strong platform operations mindset with experience in monitoring, incident response, reliability and performance tuning.
• Experience running data quality frameworks, catalog and lineage, and audit ready controls including RBAC and retention.
• Able to review code and specs and guide engineering quality.
• Structured problem solving, documentation discipline, and a continuous improvement mindset.

Qualifications & Experience:

• Bachelor’s Degree in a relevant field or equivalent practical experience.
• Recent and demonstratable hands-on experience of the set-up, operation, and development of solutions specifically using Databricks.
• Team management experience, which will follow in due course.
• 5+ years in data management or data engineering with responsibility for production data pipelines and governance.
• Hands-on experience with SQL and at least one analytics platform such as Databricks, Snowflake or BigQuery. Python is a plus.
• Experience with 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 certified datasets for consumption.
• Familiarity with procurement data structures across P2P, sourcing and finance reconciliation.

Benefits:

• Hybrid & remote working options

• €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.