Title: Data Engineer Location: Alton United States Full time job requisition id JR1768 Job Description: EXCLUSIVE NETWORKS | Introduction Exclusive Networks (EXN) is a global cybersecurity specialist that provides partners and end-customers with a wide range of services and product portfolios via proven routes to market. With offices in over 45 countries and the ability to serve customers in over 170 countries, we combine a local perspective with the scale and delivery of a single global organization. Our best-in-class vendor portfolio is carefully curated with all leading industry players. Our services range from managed security solutions to specialist technical accreditation and training capitalizing on rapidly evolving technologies and changing business models. For more information visit www.exclusive-networks.com. At Exclusive Networks, we are passionate about making a difference. That means delivering the best to our clients, doing our part to create a prosperous and trusted digital world, and helping our people to realize their potential. Our benefits include: - 24 days holiday plus Bank holidays, increasing with service and we want you to take them. - Your birthday off - Volunteer Day - Hybrid Working - Ongoing learning and development - Health care scheme - 5% Matched pension scheme - Enhanced maternity and paternity leave and more… DUTIES AND RESPONSIBILITIES| We are looking for a proactive Data Engineer who can turn data into meaningful insights and translate business needs into technical solutions. The ideal candidate will be equally comfortable working independently or collaboratively, and will bring strong analytical thinking, communication skills, and a passion for problem‑solving. As the Data Engineer you will: - Work with stakeholders to understand business objectives and translate non-technical requirements into actionable technical tasks. - Collect, clean, and analyse data from multiple sources to support decision-making. - Build and maintain dashboards, reports, and datasets. - Use SQL to query and manipulate large data sets. - Develop scripts and automation using Python to streamline data processes and analysis. - Perform data validation, quality checks, and ensure accuracy and consistency. - Present findings and recommendations to technical and non-technical audiences. - Collaborate with cross-functional teams to support ongoing projects and initiatives. - Identify opportunities for process improvement through data insights. QUALIFICATIONS AND EXPERIENCE| The Ideal Data Engineer will have: - Strong SQL skills with experience querying relational databases. - Proficiency in Python for data analysis, automation, and reporting. - Advanced Excel skills, including pivot tables, formulas, and data visualization. - Ability to translate business requirements into technical specifications. - Strong problem-solving and analytical skills. - Experience with BI tools (e.g., Power BI, Tableau) would be beneficial - Experience working with large or complex datasets is preferable. - Background in statistics, computer science, business, or related field, would be beneficial. - Experience in project-based or cross-functional environments, would be preferable. - Self-motivated and highly organized. - Detail-oriented with a focus on accuracy. - Curious, eager to learn, and comfortable working in a dynamic environment. WHO IS EXCLUSIVE NETWORKS? | Why work for us We are people focused and strongly believe that talent empowers us to continue our dynasty of disruption and growth in the future. Our Mission is to drive the transition to a totally trusted digital world for all people and organizations. We are proud to be an Equal Opportunity Employer. We are committed to the recruitment and hiring of individuals from diverse backgrounds and experiences, as we believe this strengthens our ability to develop superior solutions, make informed decisions, and better serve our valued customers. We do not discriminate against individuals based on race, religion, color, national origin, gender, sexual orientation, disability status, or any similar characteristic. Employment decisions are made solely based on qualifications, merit, and business need. Please click here to review our Diversity and Inclusion Policy for further information.

• Design, build, and maintain robust ETL/ELT pipelines that move data from source systems into Google BigQuery, ensuring reliability, scalability, and observability at every stage. • Develop and enforce data models and schema standards using best-practice SQL and dimensional modelling principles, with a focus on clarity, reuse, and performance. • Own the Google BigQuery environment, optimising queries, managing costs, enforcing data governance, and ensuring the platform scales alongside the business. • Build and maintain Looker explores, LookML models, and dashboards that translate complex datasets into clear, actionable business intelligence for non-technical stakeholders. • Work across the full Google Cloud Platform stack, including Cloud Storage, Dataflow, Pub/Sub, Cloud Functions, and Composer, to architect end-to-end data solutions. • Partner with analytics, engineering, and commercial teams to understand data requirements and translate business problems into scalable technical solutions. • Champion data quality and testing frameworks, implementing monitoring and alerting so that issues are caught early and resolved quickly. • Contribute to documentation, coding standards, and architectural decision records so the team can move fast with confidence. • Mentor junior data team members and set the bar for engineering rigour across the data function. • Stay current with developments in the modern data stack and proactively recommend tooling or process improvements where appropriate.

• Responsabilidad en la gestión de datos y gobernanza de datos en el entorno de Databricks • Optimización de la lógica de procesamiento de datos • Desarrollo y gestión de arquitectura de datos • Ingesta y transformación de datos de marketing externos • Supervisión de operaciones de almacenamiento de datos en Amazon Redshift • Programación y gestión de flujos de trabajo de análisis de datos

Role Description Responsible for building scale-able data pipelines (batch & real-time) using Big Data technologies such as Apache Spark in Azure Cloud to deliver data as a product to support Revenue Cycle Management business needs. - Design, build, implement and support data pipelines in Azure to deliver data as a product. - Understand Revenue Cycle Management business requirements to implement business rules in data pipelines to support the needs. - Contribute to data platform tools to improve automation and efficiency of the pipelines to improve business Service Level Agreements (SLAs). - Work with the stakeholders to improve data quality in the data pipeline life cycle's data ingestion and curation stages. - Build platform components around data consumption for the entire organization. - Ensure data is delivered to all our clients on time and with the right level of quality. Qualifications - Degree in Computer Science or related field. Requirements - 5-8 years of experience. - Proficient in core database concepts including MSSQL Server and Azure Cloud databases . - Proficient in understanding and writing effective and optimized T-SQL queries and stored procedures for MS SQL Server databases. - Strong knowledge of troubleshooting, debugging and building data pipelines that perform Extract, Transform and Load operations. - Knowledge of data quality concepts. - Knowledge of writing Spark SQL queries. - Knowledge of MS Excel. - Good knowledge of SDLC practices and experience in working in an Agile environment. - Knowledge of Programming (such as Python) and logical thinking. - Knowledge of working with source control systems such as Git. - Problem-solving skills / effective communication skills / being a strong team player. Benefits - Best in class work from home policy. - Growth-oriented work culture. - High-quality learning and development opportunities. - Supportive work culture. - Positive work-life balance. - Flexible/ remote working. - Employee-friendly policies. - Take your career to the next stage of evolution and mutual growth.