Role Description We’re looking for a Data Engineer to join our growing EMEA team. This is an exciting opportunity for a hands-on engineer who enjoys building scalable data pipelines, working with modern cloud technologies, and delivering solutions that directly support sports, live events, venues, and operational environments. You’ll work closely with Data Engineering Leads, Analytics, Product, and Platform teams to help turn raw data into reliable, analytics-ready assets that power reporting, operations, AI initiatives, and customer-facing products. This is a delivery-focused role where your work will have real visibility and impact across global projects and clients. What You’ll Do - Build and maintain modern data pipelines across ingestion, transformation, validation, and serving layers - Work with APIs, databases, files, event streams, and third-party data sources - Support reliable batch and near real-time data processing workflows - Develop reusable transformation logic and trusted datasets for analytics and reporting - Collaborate with Product Owners, Analysts, QA, DevOps, and Engineering teams to support smooth delivery - Contribute to strong engineering standards across testing, CI/CD, monitoring, documentation, and code reviews - Support troubleshooting, optimisation, and operational support across cloud-based environments - Help improve data quality, observability, scalability, and long-term maintainability of solutions - Contribute to reusable engineering patterns, delivery standards, and continuous improvement initiatives across EMEA teams - Support a product-aware engineering mindset focused on usability, reliability, and business value Qualifications - Strong SQL skills and experience building production-ready data pipelines - 3–6 years’ experience in Data Engineering, ETL/ELT development, Analytics Engineering, or related technical roles - Experience with cloud platforms such as AWS, Azure, or GCP - Familiarity with tools such as dbt, Spark, Airflow, Dagster, or similar orchestration and transformation technologies - Experience working with data warehouses, lakehouse platforms, or distributed data environments - Good understanding of software engineering practices including Git, testing, CI/CD, and code reviews - Experience working with APIs, files, databases, and third-party data sources - Exposure to data quality, lineage, monitoring, and operational support practices - Strong problem-solving skills and attention to detail - Strong communication and collaboration skills - Experience in consulting, client-facing, or distributed delivery environments is beneficial - Right to live and work in the relevant European hiring location is required Nice to Have - Experience within Sports, Entertainment, Stadiums, or Live Events - Exposure to real-time or event-driven data architectures - Experience supporting analytics, AI, or operational reporting initiatives - Familiarity with modern DevOps and cloud deployment practices - Interest in building reusable data products and trusted reporting datasets - Passion for sports, live environments, and technology-driven experiences Benefits - Growth: Scale your career with diverse projects and continuous learning. - Flexibility: Embrace a work-life balance with flexible hours and remote work opportunities. - Impact: Your work directly transforms the venue experience for millions. - Culture: Collaborate with a passionate team in a dynamic, innovative environment. - Benefits: Competitive compensation, fun team events and opportunities for personal and professional growth.

Role Description We are seeking an experienced, financial services–focused professional to join our team as a Data Specialist. This role is ideal for a highly detail-oriented, analytical, and collaborative individual who excels at managing complex data conversions and partner integrations. The Senior Data Specialist provides end-to-end support for data transfers associated with onboarding new broker-dealer and vendor data onto BETA’s platform. - Serve as the Lead Analyst for data conversions from acquired brokerage firms onto BETA’s platform for new or existing clients. - Analyze complex source data sets to define conversion requirements and specifications. - Develop and maintain detailed mapping documentation, including specifications, pseudocode, spreadsheets, validation tables, and reconciliation tools. - Serve as the primary liaison between clients and internal technical teams, translating business requirements into technical solutions and managing communication of status, risks, and issue resolution. - Facilitate client mapping sessions and perform gap analysis across data modules to produce finalized conversion instructions. - Support full conversion lifecycle, including testing, validation, and production go-live, ensuring data accuracy, completeness, and successful outcomes. - Perform extensive data validation, oversee test execution, and provide hands-on support during production events. - Maintain and enhance documentation standards, workflows, and vendor de-conversion processes to enable scalable, repeatable integrations. - Continuously improve conversion processes and support models for new vendor integrations. - Utilize advanced Excel techniques (e.g., formulas, pivot tables, data validation) to analyze and interpret large datasets. Qualifications - 6+ Years of relevant experience in client integration project, preferably within the finance services industry. - Bachelor’s degree or the equivalent combination of education and experience is required. - Ability to manage multiple integration projects concurrently while meeting defined timelines. - Strong collaboration skills, with the ability to partner effectively with internal teams and external client stakeholders. - Demonstrated ownership and accountability from requirements gathering through production implementation. - Commitment to continuous improvement, including participation in post-project reviews. - Strong customer service mindset with the ability to work independently. - High level of integrity, dependability, and professionalism. - Excellent verbal and written communication skills, with the ability to convey complex information clearly to both technical and non-technical audiences. - Proficiency with Microsoft 365 applications, including Outlook, Word, Excel, PowerPoint, Visio, and Project. - Advanced Excel expertise, with the ability to analyze large datasets using formulas, pivot tables, and advanced querying techniques; macro development is a plus. - Familiarity with IBM mainframe environments or basic COBOL concepts is a plus. Company Description BetaNXT is a leading provider of frictionless wealth management infrastructure, real-time data solutions, and an enhanced advisor experience. We invest in platforms, products, and partnerships to accelerate growth for the ecosystem we serve. Our connective approach empowers our clients to deliver a comprehensive, end-to-end advisor and investor experience. BetaNXT is a premier provider of technology, data, and operations as services to a rich client base of wealth managers, institutional wealth firms, and digital brokers. It is comprised of three industry-leading businesses which, combined, provide end-to-end solutions across the investment lifecycle.

• Diseñarás arquitecturas de datos escalables, resilientes y alineadas con los objetivos estratégicos de negocio. • Definirás modelos y estándares de arquitectura para la gestión, integración y explotación del dato en entornos corporativos complejos. • Liderarás la definición de plataformas de datos modernas, asegurando su gobernanza, escalabilidad, seguridad y eficiencia operativa. • Participarás en iniciativas de transformación digital ayudando a evolucionar ecosistemas de datos hacia modelos más flexibles, distribuidos y orientados al dato como producto. • Colaborarás con equipos multidisciplinares y stakeholders de negocio para transformar necesidades funcionales en soluciones de arquitectura sostenibles y de alto impacto. • Impulsarás buenas prácticas de gobierno, calidad, observabilidad y ciclo de vida del dato, promoviendo una cultura DataOps y de mejora continua. • Evaluarás tendencias, capacidades y nuevas aproximaciones arquitectónicas dentro del ecosistema de datos y analítica avanzada. • Contribuirás a la definición de aceleradores, frameworks y estándares internos que permitan industrializar y optimizar las soluciones de datos.

• Architect, design, and manage end‑to‑end Snowflake‑based data platforms, ensuring high performance, scalability, and reliability • Lead data modelling initiatives (dimensional, normalised, and hybrid models) to support complex analytical and financial reporting needs • Design and implement ETL/ELT pipelines, including orchestration, data ingestion, and real‑time or near‑real‑time streaming integrations • Collaborate with stakeholders to analyse data requirements, translating business needs into effective data architecture designs. • Ensure best practices in Snowflake implementation, including performance optimisation, security, access control, and storage management. • Develop advanced SQL and Python scripts for data transformation, automation, and validation • Integrate DevOps practices such as CI/CD and infrastructure‑as‑code into the data engineering lifecycle • Provide architectural leadership and mentoring to data engineers, fostering high standards for delivery, documentation, and collaboration • Support proofs of concept (POCs) and contribute to technical evaluations of tools and technologies