Data Engineer

• Be an effective team player of a Scrum Team - understanding and contributing to the agile delivery process and taking ownership of your team's processes.
• To promote the production of reusable code and modules where appropriate with a view to maximizing effort and reducing development costs applying principles of Agile delivery.
• To ensure risks and issues are identified in a timely manner and effectively communicated with proposed resolution and mitigation strategies to the Data Delivery Manager.
• Work as an effective member of a scrum team - understanding and contributing to the agile delivery process, and taking ownership for your team's software quality from concept to production.
• Write and maintain functional and technical specifications.
• Monitor, optimize and troubleshoot database, microservice, stream and ML service performance.
• Analyse code for problem resolution.
• Thorough, demonstrable unit testing.

Data Engineer – Flutter

• Design and implement scalable, maintainable, and secure batch & streaming data pipelines and architectures that support enterprise-wide data needs
• Define standards for data engineering, data product design, and pipeline orchestration using modern tools and cloud-native technologies
• Establish and enforce engineering best practices around code quality, testing, documentation, and deployment
• Contribute to the evolution of the data platform, ensuring systems are modular, interoperable, and resilient
• Lead technical design and code reviews, mentoring peers and raising the bar for engineering excellence
• Partner with other data engineering teams, analytics, and data science to deliver reusable data assets and shared infrastructure
• Identify and resolve architectural bottlenecks in the current data platform and propose improvements that reduce complexity and boost performance
• Act as a technical liaison between engineering, product, and analytics teams, ensuring alignment on architecture and data strategy
• Provide technical leadership and guidance to other data engineers and contribute to the team’s overall growth and maturity
• Help evaluate and onboard new technologies, frameworks, and practices to keep our stack modern and efficient
• Design, develop, and maintain scalable ETL/ELT pipelines to support data products, analytics, and operational systems
• Work with large-scale, complex datasets and ensure data is clean, well-modelled, and accessible across the organization
• Develop and maintain batch and streaming data pipelines and data platforms using modern tools and technologies

Principal Data Engineer

• Be ready to work with Architects and Technical Leads in order to perform system & gap analysis with given business specifications and define functional and non-functional requirements for the software components, where SDLC and best-practices are self-implied.
• Be involved in researching, producing POCs and evaluating new methodologies & technologies that improve quality, reliability, scalability, security, and performance of Flutter Studios Technology.
• Deliver projects within agreed deadlines with a high degree of confidence and quality while taking responsibility for the delivered products.
• Prove to be an effective team player in a Scrum Team while understanding and contributing to the agile delivery process and following the team’s ways of working.
• Design and implement low-latency, high-availability and performant applications.
• Participate in the software development process from the analysis phase to release, including: design, document, test and develop solutions by emphasizing code review & peer design activities.
• Write reusable, testable, and efficient code while also inspiring other data engineers to do so.
• Implement and integrate data storage solutions.
• Be proactive in the identification of opportunities to improve and rationalise applications and processes across the whole Data team, working in close collaboration with other Data team members and subject matter experts.
• Ensure that accurate and effective support documentation is maintained to reflect code development and changes.
• Be responsible for effectively escalating any risks & issues identified in a timely manner to the Data Delivery Manager while also providing resolution and mitigation strategies.

Senior Data Engineer

• Work as an effective member of a scrum team - understanding and contributing to the agile delivery process
• To be able to identify risks and issues in a timely manner and communicate effectively to the Data Engineering Manager.
• Write and maintain functional and technical specifications

Associate Data Engineer

• Data Pipeline Development: Design, construct, and maintain scalable data pipelines to automate the collection, transformation, and integration of large datasets from various sources.
• Data Model Optimization: Develop and optimize data models and architectures to ensure efficient data storage and retrieval that support business analytics and reporting needs.
• Collaborative Data Solutions: Work closely with data scientists, analysts, and other stakeholders to implement data solutions that drive strategic business decisions and insights.
• System Performance Enhancement: Monitor, troubleshoot, and enhance the performance of data systems, ensuring data quality, integrity, and security consistently.
• Documentation and Compliance: Create comprehensive documentation for data processes and workflows; ensure compliance with data governance policies and industry regulations.

• Be an effective team player of a Scrum Team - understanding and contributing to the agile delivery process and taking ownership of your team’s processes.
• Create and promote the use of behaviour/test-driven development at multiple levels within the software by pairing with production code developers and product owners.
• To deliver excellent production quality code and encourage and mentor other developers to do so.
• To be proactive in identifying holistic approaches across diverse programs, projects and technologies.
• To promote the production of reusable code and modules where appropriate with a view to maximizing effort and reducing development costs applying principles of Agile delivery.
• To be proactive in the identification of opportunities to improve and rationalize applications and processes across the whole Data team, working in close collaboration with other Data team members and subject matter experts.
• To liaise closely with other Data team members and subject experts to ensure that accurate and effective support documentation is maintained to reflect code development and changes.
• To ensure risks and issues are identified in a timely manner and effectively communicated with proposed resolution and mitigation strategies to the Data Engineering Manager.
• To be proactive and drive the building of effective relationships across Data and key areas of the Paddy Power Betfair business stakeholder community.
• Write and maintain functional and technical specifications.
• Monitor, optimize and trouble shoot database, microservice and stream and ML service performance.
• Analyze code for problem resolution.
• Thorough, demonstrable unit testing.

Senior Data Engineer – Flutter

• **We are looking for a **Senior Data Engineer** to join our growing data team and play a key role in shaping and modernising our data landscape.****
• **This is a **hands-on, delivery-focused role**, where you will design, build and optimise data pipelines, enabling better decision-making, improved customer experience, and scalable data solutions across the business.****
• **You’ll work closely with Product, Business Analysts and Engineering teams to turn data into real business value.****

• Monitor and manage overnight scraper and ingestion runs, triaging failures and applying fixes in real time to minimize data gaps before US market open
• Verify data completeness and quality across all automated feeds, flagging anomalies and coordinating with the Houston team on persistent issues
• Maintain run logs, error documentation, and escalation notes for seamless async handoffs
• Build and maintain scrapers, parsers, and ingestion pipelines across a growing set of energy market data domains
• Contribute to the design and build-out of our broader ETL infrastructure, including scheduling, orchestration, and error handling
• Write transformation logic to clean, normalize, and load raw data into PostgreSQL staging and production tables
• Optimize existing pipelines for performance, reliability, and cost efficiency
• Help build monitoring dashboards and alerting for pipeline health and data freshness
• Document data lineage, schema changes, and pipeline dependencies

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