Company Description We’re one of the world’s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages. We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we’re breaking new ground in software innovation too, redefining what’s possible for our global worldwide. Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description We are looking for a Data Developer to join the Gaming Platform Team. This team builds the reporting systems that help us meet regulatory requirements in controlled markets. That means working with near real-time and batch data, complex business rules, and changing reporting formats. We are looking for a Data Developer to join the Gaming Platform Team. A crucial requirement of regulated gambling markets is the provision of data to regulators and other third parties. The team is responsible for building and maintaining near real-time and batch reporting systems to fulfil this requirement, with complex business logic to transform internal data models into those required by regulators. The team is creating new GCP reporting systems and will be migrating from on-premise SQL Server systems to Google Cloud Platform, predominantly BigQuery. The successful candidate will contribute to this migration while also developing new cloud-native solutions and exploring AI-driven development and automation to improve efficiency, consistency and reliability across the team's processes. Qualifications - SQL development experience, with the ability to write complex queries, stored procedures, and performance-tune data-intensive workloads. - Experience with Google BigQuery. - Familiarity with GCP services such as Cloud Storage, Cloud Functions, Pub/Sub, or Cloud Composer. - Experience with data pipeline development (ETL/ELT) and orchestration tooling. - Exposure to Infrastructure as Code (e.g. Terraform) and CI/CD pipelines (e.g. Git, GitLab). - Methodical, with high attention to detail and the ability to break down complex requirements into simple solutions. - Real world experience in AI-assisted development tooling (e.g. Claude Code) - Ability to work to deadlines in a fast-paced, reactive environment. - SQL Server experience is beneficial for supporting legacy systems during migration. Additional Information - Develop and maintain regulatory data submission systems, both existing on-premise and new cloud-based solutions in GCP/BigQuery. - Build and maintain automated data pipelines for ingestion, transformation, and loading of regulatory data. - Support the migration of legacy SQL Server solutions to BigQuery, working closely with seniors and technical leads on architecture and data modelling. - Implement data validation, monitoring, and alerting to ensure accuracy, consistency, and reliability of regulatory submissions. - Leverage AI tooling (e.g. Claude Code) and contribute to the team's automation strategies to reduce manual effort and improve quality. - Participate in code reviews and adhere to departmental standards and the development process. - Conduct QA to ensure solutions are accurate, efficient, and performant. - Create and maintain relevant documentation. - Collaborate with other team members to deliver high-quality solutions within required timeframes. By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don’t hesitate to reach out.

Role Description As a Lead SAP Agent Architect at Parloa, you will help transform customer service with AI agents in enterprise SAP environments. In this customer-facing role, you will support implementations where Parloa’s conversational AI platform must work reliably with SAP data, processes, and integration constraints - from design through testing and go-live readiness. You combine LLM and agent design (prompt engineering, conversational structure, quality, and operational readiness) with hands-on SAP integration literacy: - Understand how Parloa agents should read from and write to SAP systems safely and predictably. - Partner with Forward Deployed Engineering and customer SAP teams to make that path buildable, testable, and production-grade. You will design, prototype, validate, and refine conversational solutions and agent workflows that depend on SAP-backed use cases (for example order management, customer data, case management, and transactional queries), while ensuring the integration layer between Parloa and SAP is reflected accurately in agent behavior, tools, and guardrails. Areas of Ownership - Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners with a focus on programs where SAP-backed systems and processes are in scope (for example SAP Service Cloud / CRM, and related enterprise SAP landscapes). - Leverage your knowledge of LLMs (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior, including cases where agent actions depend on SAP-sourced data and SAP business rules. - Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively. - Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards. - Build and configure integrations between customers’ systems and Parloa’s platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms, including SAP CX / SAP ERP surfaces where applicable) via integration platforms and APIs to deliver end-to-end enterprise solutions. - Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities, including SAP-specific connectivity, authentication, and data-access patterns (e.g., OData, REST/SOAP, OAuth2 / SAP IAS / XSUAA) where they materially affect agent behavior and reliability. - Identify and solve blockers together with other departments at Parloa (e.g., Product, Forward Deployed Engineering or Sales) and the customer, including coordination with customer SAP teams and SAP partner engineers when required to unblock delivery. - Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions — with explicit coverage for integration-dependent paths common in SAP environments (partial responses, authorization failures, latency, and transactional correctness). - Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team. Qualifications - 4+ years in enterprise customer-facing roles with proven expertise in conversation design and AI agent development for implementation settings (not only concept work). - Exposure to SAP AI Core, SAP Agent Builder, or similar AI extensions within SAP. - Experience with conversational AI / contact center / CX technology in an SAP context. - Demonstrable SAP integration experience in live enterprise delivery contexts, including comfort operating across SAP BTP, S/4HANA, ECC, Service Cloud, CRM, and/or adjacent SAP CX stacks as they relate to agent-connected use cases. - Solid understanding of SAP APIs and data access patterns across one or more relevant surfaces: OData v2/v4, REST/SOAP, and authentication patterns including OAuth2 and SAP IAS/XSUAA. - Strong prompt engineering and LLM workflow design skills: you can analyze requirements and craft prompts/instructions for reliable, user-aligned behavior under enterprise constraints. - Analytical and structured communicator: explicit trade-offs, decisions, next steps; strong stakeholder and milestone discipline. - Proficiency with JSON/XML, API testing tools (e.g. Postman), and reading enterprise API documentation. - Fluency in German and English is required. Nice to Have - Experience working with or for SAP system integrators in delivery or presales-adjacent engineering roles. - Familiarity with cloud landing zones commonly paired with SAP integrations (e.g., Microsoft Azure), Kubernetes concepts, and/or TypeScript/Node.js tooling for integration-heavy delivery. - Git-based collaboration and CI/CD exposure. How You Will Work With Parloa Teams You will work as a technical delivery partner alongside Forward Deployed Engineering (including SAP integration specialists) on shared technical outcomes: reliable connectivity, correct data contracts, and agent behavior that holds up in production. You are expected to work on integration mechanics where they directly impact agent quality: - API contracts, authentication and token flows, request/response shaping, pagination and filtering, error handling, latency and timeouts, and environment-specific constraints. - Debug, validate, and tighten those paths using structured tests and measurable evidence. This is not a “design-only” handoff model: you will configure, test, and iterate integration-connected agent capabilities with the same engineering rigor you apply to prompts and conversational structure, escalating to deeper platform engineering when the problem crosses into core product/runtime ownership. Our Recruiting Process - Talent Acquisition - Hiring Manager - Technical & Expert Interview(s) - Bar Raiser Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. Parloa is an e-verify employer in the USA. We provide equal opportunities to all qualified applicants regardless of race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background, and other characteristics.

Role Description The Director of Data Governance is responsible for executing and scaling Lumen’s enterprise data governance foundation. This role partners with the Data Governance Officer to operationalize Lumen’s enterprise data governance operating model, including stewardship, data product ownership, and the enterprise data marketplace. Reporting to the Data Governance Officer, this role operationalizes centralized governance with federated ownership, ensures stewardship is established across master data domains, and supports alignment of enterprise data architecture direction across platforms and technologies. The Director plays a key role in enabling the Enterprise Data Council (EDC), supporting governance forums and ensuring decisions, standards, and actions are effectively implemented across the organization. This role is accountable for improving the trust, transparency, and consistency of Lumen’s data assets by driving adoption of governance practices across Product, Engineering, Network, Security, and functional organizations. The ideal candidate is a strong operator who can translate governance strategy into actionable programs, partner across teams to drive adoption, and ensure governance is consistently embedded into how the enterprise operates. Location This is a remote opportunity open to candidates located anywhere in the U.S. Main Responsibilities - Support the operationalization of enterprise data governance, including implementing defined roles, decision rights, and accountability frameworks. - Partner with the Data Governance Officer to support the Enterprise Data Council (EDC), including preparing materials, tracking decisions, and ensuring follow-through on governance outcomes. - Drive adoption of the federated data stewardship model across business domains, partnering with domain leaders to establish ownership and stewardship accountability. - Drive definition and adoption of domain-based ownership, including master data domains, data products, and critical data elements, ensuring clear accountability across business and technology. - Develop enterprise governance KPIs and scorecards tied to data quality, ownership, adoption, and business outcomes. - Implement and reinforce enterprise data standards, including business glossary, data definitions, and modeling practices. - Partner with Technology and Engineering teams to align governance practices with enterprise data architecture and platform capabilities. - Own implementation and enterprise adoption of data governance platforms (e.g., Informatica CDGC), including catalog, lineage, data quality, and marketplace capabilities. - Ensure governance processes align with AI governance requirements, supporting compliant and responsible data usage. - Work cross-functionally with Product, Engineering, Network, and Security to embed governance practices into business processes and drive consistent outcomes. - Enable and operationalize enterprise Data Marketplace capabilities, driving adoption of data products, self-service access, and governed data sharing. - Establish governance execution mechanisms, including decision tracking, issue escalation, and enforcement of standards across domains. Qualifications - 10–12+ years of experience in data, analytics, technology, or architecture, with experience supporting or implementing data governance programs. - Experience operationalizing governance frameworks within complex, federated organizations. - Strong understanding of data ownership models, stewardship, master data, and data standards. - Experience working within federated governance models, supporting alignment between centralized standards and business execution. - Familiarity with data quality, metadata management, lineage, and governance tooling. - Ability to work across teams and influence stakeholders to drive adoption of governance practices. - Strong communication skills with the ability to translate governance concepts into clear, actionable guidance. - Exposure to AI governance considerations, including data readiness, control, and compliance. - Bachelor’s degree required; master’s degree preferred. Compensation This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. - $152,066 - $202,755 in these states: AL, AR, AZ, FL, GA, IA, ID, IN, KS, KY, LA, ME, MO, MS, MT, ND, NE, NM, OH, OK, PA, SC, SD, TN, UT, VT, WI, WV, WY - $159,670 - $212,893 in these states: CO, HI, MI, MN, NC, NH, NV, OR, RI - $167,273 - $223,031 in these states: AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, WA Benefits - Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing.

Role Description The Data Engineer will be pivotal in designing, developing, and maintaining robust ETL (Extract, Transform, Load) processes to ensure seamless data flow between our diverse data sources and target data stores. You will be responsible for building and optimizing automated pipelines, ensuring data quality, and accommodating future data format changes. This position requires a strong technical foundation and a proactive approach to problem-solving. Primary Responsibilities - Pipeline Design & Development: - Design, develop, and implement scalable and efficient ETL pipelines using modern data integration tools and technologies. - Data Transformation: - Transform and cleanse data from various sources (databases, APIs, cloud storage, etc.) to ensure accuracy, consistency, and compliance with data governance policies. - Data Store Management: - Develop and maintain optimized data models and data warehousing solutions utilizing platforms like Oracle, PostgreSQL, Redshift, and EMR. Focus on performance tuning and query optimization. - Automation & Monitoring: - Build and maintain automated ETL jobs, incorporating robust monitoring and alerting mechanisms for proactive issue detection and resolution. - Data Quality Assurance: - Implement data quality checks and validation rules throughout the ETL process to guarantee data integrity. - Documentation: - Create and maintain comprehensive documentation for ETL processes, data models, and system configurations. - Collaboration: - Work closely with business stakeholders and other teams to understand data requirements and deliver effective solutions. - Future-Proofing: - Proactively assess and implement changes to data integration processes to accommodate evolving data formats, sources, and business needs. Ensuring designs accommodate potential future data changes. - All other duties as assigned by leadership. Qualifications - ETL development with Glue ETL, Python, Pyspark, RDS. - Solid understanding of data governance principles and data quality best practices. - Ability to work independently and as part of a collaborative team in an Agile environment. - Excellent problem-solving, analytical, and communication skills. Requirements - Bachelor’s degree in Computer Science, Information Systems, or a related field. - 10+ years of experience in data integration, ETL development, and data warehousing. - Strong proficiency in SQL and experience with relational databases (e.g. Oracle, PostgreSQL) and NoSQL databases. - Experienced with scripting languages such as Python or Shell scripting for automation and data manipulation. - Experienced with cloud technologies, including AWS Glue, Lambda, CloudFormation/Ansible, S3, Redshift, and EMR. - Experienced with Git, GitHub, CI/CD pipelines for DevOps and data engineering. Required Certifications - AWS certification (Minimum - Cloud Practitioner, AI Practitioner) Clearance Requirement - Must be a U.S. Citizen (No dual citizenship will be accepted) - Ability to obtain a favorable Public Trust investigation Work Location - Fairfax, VA/Remote Benefits - Oasys is proud to be an equal opportunity employer for all protected groups, including protected veterans and individuals with disabilities.