• Lead the modernisation and transformation of Newsquest's data platform and supporting architecture, creating a scalable, secure and sustainable foundation for future growth. • Define and deliver a roadmap for data migration, integration, governance, reporting and analytics capabilities. • Lead the implementation of a modern data platform, including the development of a data warehouse, data lake, lakehouse or equivalent cloud-based solution. • Work with stakeholders across the business to understand requirements and translate them into practical data solutions that deliver measurable business value. • Collaborate closely with IT teams, data engineers, system owners and third-party suppliers to ensure successful project delivery. • Manage programme plans, budgets, risks, dependencies and resources across multiple workstreams. • Establish and embed robust data governance, ownership and quality standards across the organisation, increasing confidence and trust in business data. • Lead and support internal data engineering resources, ensuring successful delivery of platform objectives. • Drive platform adoption across the business, improving accessibility to trusted data and reducing reliance on manual processes. • Oversee post-implementation stabilisation, optimisation and continuous improvement activities, ensuring the platform continues to evolve alongside business requirements. • Identify future opportunities to enhance reporting, analytics, automation and data-driven decision-making.

• Modern, scalable, and secure data architectures on Google Cloud Platform. • High-performance data pipelines for ingestion, transformation, and data delivery. • Analytical solutions for Data Lake, Data Warehouse, and Data Mart. • Robust and optimized data models for analytical consumption and decision-making. • Environments with governance, data quality, security, and compliance across the entire data lifecycle.

Role Description We are looking for a Data Services Associate to help our newly formed Health Department process insurance-subsidized durable medical equipment orders to customers. You will work with a team of Order Processing Associates, Customer Support Specialists, Billing Specialists, and others to help ensure that orders are processed accurately and in a timely manner. Qualifications - Proven experience in data entry - Great attention to detail - Able to produce high-quality work consistently - Able to hit productivity goals regularly - Confident enough to ask questions when unsure about something - Team first mentality - Dependable attendance and internet connection - Able to use tools like Gmail, Slack, and straightforward software like Zendesk - Strong English reading and writing skills - Conversational English verbal skills Requirements - Review new insurance orders to ensure they have all the critical information needed to be processed by medical insurance and help find missing information if possible. - Tag valid orders accurately so they can move to the next processing step. - Encode data needed to the database accurately to avoid any issues. - Flag any orders that are missing key information or fall outside of the process guidelines. - Verify prescriptions for durable medical equipment, following a strict set of guidelines to determine their validity: - If the prescription is invalid, follow instructions to request an updated prescription from the healthcare provider. - Add valid prescriptions to customers’ orders and tag orders appropriately so they can move to the next step of processing. Company Description Boldr is the first global B-Corp dedicated to delivering world-class Client experiences while creating access to dignified, meaningful work in communities around the world. - We are a global team, united by our desire to connect diverse people with common values for boldr impact. - We employ just over a thousand team members across five countries and we want to employ over 5,000 people by 2027, if not sooner.

Role Description EXUS is seeking a Head of Data Engineering to lead the strategic direction, architecture, and delivery of our data engineering function. This role is responsible for building and scaling a robust data platform designed to support business intelligence, analytics, product development, and operational excellence across the organization. The successful candidate will combine strong technical expertise with proven leadership capability, driving the design and operation of modern data pipelines and platforms with a focus on: - ClickHouse or other relevant tools - Apache Airflow - ETL/ELT - SQL - Python - Cloud infrastructure Working closely with cross-functional stakeholders, the Head of Data Engineering will ensure that data assets are reliable, scalable, secure, and aligned with business priorities. Responsibilities - Define and lead the data engineering strategy, roadmap, and architecture - Build, manage, and develop a high-performing data engineering team - Oversee the design and operation of scalable data pipelines and platform services - Ensure high standards in data reliability, observability, governance, and performance - Partner with engineering, analytics, and business teams to deliver trusted data capabilities Qualifications - BSc degree in Computer Science, Engineering, Mathematics, Statistics, or similar - Significant experience in data engineering and platform architecture, with a minimum of 5 years of relevant experience - Demonstrated success in leading and developing engineering teams - Strong hands-on expertise with ClickHouse (or similar tools), Apache Airflow, SQL, Python, and modern ETL/ELT practices - Solid understanding of cloud-based data platforms and engineering best practices - Strong communication, stakeholder management, and organizational leadership skills Benefits - Fully remote work setup - Competitive salary - Inclusive work environment & Well-being Program - A clear induction program & a mentoring buddy to help you - Private health insurance allowance - Unlimited time off