Role Description ADTRAV is seeking a Principal Data Engineer to be responsible for leading the design, development and implementation of components within ADTRAV’s business intelligence application. This position has access to data as part of a government contract, and it is a requirement of the contract for individuals to be a U.S. citizen. Candidates must be able to show proof upon hire that they meet this requirement. In addition, this position is required to pass a government clearance process. - Lead the design, development, and implementation of major components of the RezIntel platform. - Work with cross-functional teams to gather requirements and understand data needs. - Implement data ingestion, storage, and processing solutions for structured and unstructured data. - Ensure the data storage system is scalable and highly available. - Develop and maintain data pipelines and ETL/ELT processes. - Maintain a strong understanding of a data lifecycle. - Conduct data modeling and create documentation like data definitions, data flow diagrams, and process definitions. - Automate and ensure data quality. - Design and develop database objects, tables, stored procedures, views, and ETL pipelines. - Conduct performance tuning of T-SQL, including stored procedures, views, functions, etc. - Mentor and instruct other engineers on best practices. - Analyze, solve, and correct issues in real-time. - Provide engineering estimates. - Use Agile development tools to track and communicate project progress. - Stay up to date on new information technologies and emerging trends, and their possible application in the company. - Work non-standard business hours to attend meetings and provide support via text/phone/email in a 24/7/365 environment. - Represent ADTRAV by embracing the company values and maintaining effective working relationships with employees, partners, vendors, and clients. - Adhere to company policies and procedures. - Other duties as assigned. Qualifications - Bachelor’s Degree in related field or equivalent experience required. - 10+ years of experience in ETL technologies and concepts like SSIS and Python/Pandas. - 8+ years of experience in Data Warehousing, DataVault, and Data Mart concepts and implementation especially in relational databases like SQL Server. - Ability to mentor engineering teams on best practices. - Strong SQL knowledge and work experience with relational databases such as Microsoft SQL Server, or PostgreSQL. - Experience in architecting, crafting, and developing highly scalable distributed data processing systems. - Experience architecting DataVault and/or Kimbell systems. - Experience in using visualization and reporting tools such as SSRS, Qlik Sense, and PowerBI. - Experience implementing data solutions in Azure and on-prem data centers using ETL tools, queues, batch scheduling services and various storage solutions. - Background in data analysis and data modeling. - Experience in Agile SDLC methodologies (Kanban and Scrum). - Experience building and deploying applications using continuous integration pipelines and automated deployment tools such as Azure DevOps, etc. - Hands on experience with Python, Pandas, and other Python ETL tools required. - Ability to estimate the work required and deliver the project on schedule as estimated. - Experience with source control such as Git or TFS. - Experience with issue tracking systems such as Jira or Azure DevOps. - Ability to learn ADTRAV’s business and products quickly and adapt to a dynamic development environment. - Excellent English written and verbal communication skills. - Ability to communicate ideas and concepts clearly and concisely, while also being open to receive feedback and direction as needed. - Highly self-motivated and able to prioritize and manage multiple tasks with varying deadlines. - Able to work in a fast-paced environment while balancing both strategic and tactical responsibilities. - Detail oriented with strong organizational and analytical skills. - “Can do” problem solving mentality, while still respecting standards, quality, and security. - Able to present a professional and positive demeanor with internal and external customers/clients and work cooperatively. - Ability to work remotely and meet the company home-office requirements, including stable, high-speed internet. - Able to maintain confidentiality of company and client information. - Able to work outside of normal business hours and provide 24/7/365 support to team. - Able to successfully pass a credit, criminal, and/or employment reference background check. - Able to successfully pass a government clearance process as required by clients. Benefits - Salary range for this position is $140,000-160,000 a year but consideration may be given outside of this range. - Pay is based on experience with the role and with the required applications/technologies. - ADTRAV offers a competitive benefits package that includes: - Medical - Dental - Vision - Life - Disability - Flexible Spending Accounts - 401(k) - PTO Company Description ADTRAV Travel Management, founded in 1977, has over four decades of experience in managing corporate, government, vacation, group, meetings, and incentive travel programs across the United States. We have experienced steady growth throughout our history and are currently ranked as one of the top business travel management companies in the country.

• Desarrollo y mantenimiento de procesos ELT/ETL en entornos cloud • Diseño y optimización de modelos de datos en Snowflake • Desarrollo de transformaciones y lógica de negocio con dbt • Calidad del dato y buenas prácticas analíticas • Optimización de rendimiento y costes • Colaboración con equipos multidisciplinares • Documentación técnica y gobierno del dato • Control de versiones y despliegue de soluciones

• Progettazione, sviluppo e manutenzione di soluzioni per la generazione, raccolta, elaborazione e distribuzione dei dati. • Realizzazione e ottimizzazione di data pipeline. • Implementazione di processi ETL. • Presidio della qualità del dato, garantendo affidabilità, accessibilità e usabilità delle informazioni. • Collaborazione con team cross‑funzionali per supportare strategie data‑driven, contribuendo alle decisioni progettuali e al miglioramento continuo delle soluzioni dati in ambienti cloud moderni.

Role Description We are building a new, dedicated BI engineering team to take over and further develop a critical Business Intelligence component responsible for billing, reporting, and analytics across a wide range of sales and operational KPIs. As a BI Software Engineer – Data, you will focus on designing, developing, and operating data pipelines and reporting solutions. The component integrates customer, booking, and product data from multiple internal Magenta APIs (e.g. CDP, PIM, POM) and delivers structured outputs to various stakeholders and systems such as Data Warehouse (ODE), Billing, Kibana, and other analytics consumers. While the primary focus is on hands-on development, experience as a Product Owner and/or Business Analyst is considered a plus, but is not mandatory. Your Responsibilities - Design, implement, and maintain scalable BI and data processing solutions - Develop and operate ETL pipelines for customer, booking, and product data - Integrate data from various file- and REST-based Magenta APIs (like POM, PIM, CDP, PCM, etc.) - Generate and deliver reports and datasets for multiple downstream consumers (e.g. ODE, Billing, Kibana) - Collaborate closely with stakeholders across analytics, billing, and platform teams - Contribute to the setup and shaping of a newly formed team, including technical standards and best practices - Ensure data quality, reliability, and performance across the BI component - Support cloud-based operations and monitoring in an AWS environment Qualifications - Strong experience with ETL processes - SQL - Python - Docker - GitLab - Apache Airflow - Apache Cassandra - Kibana - AWS (general knowledge), including: - AWS S3 - AWS DataSync - AWS Athena Notebook - Amazon Aurora - Amazon ECS - Amazon ECR - PySpark - Experience with a data hub / data integration platform (Datendrehscheibe) - REST APIs (e.g. TARDIS / REST) Requirements - Experience in BI or billing-related data domains (Nice to Have) - Background as Product Owner and/or Business Analyst (Nice to Have) - Familiarity with data warehouse integrations (Nice to Have) - Experience working in cross-functional, agile teams (Nice to Have) - Knowledge of German is a plus, but not mandatory (Nice to Have) Benefits - The opportunity to build a new BI engineering team from the ground up - A technically challenging environment with modern data and cloud technologies - High impact on business-critical billing and reporting processes - Collaboration with diverse stakeholders across analytics and platform teams - An English-speaking work environment Company Description As Hungary’s most attractive employer in 2025 (according to Randstad’s representative survey), Deutsche Telekom IT Solutions is a subsidiary of the Deutsche Telekom Group. The company provides a wide portfolio of IT and telecommunications services with more than 5300 employees. We have hundreds of large customers, corporations in Germany and in other European countries. DT-ITS received the Best in Educational Cooperation award from HIPA in 2019, acknowledged as the Most Ethical Multinational Company in 2019. The company continuously develops its four sites in Budapest, Debrecen, Pécs and Szeged and is looking for skilled IT professionals to join its team.