Du stehst im engen Kontakt mit Kunden, Lieferanten und Geschäftspartnern und erlernst den Umgang mit spezifischer Software am Computer, inklusive der Erfassung und Pflege von Datenbanken. Du nimmst regelmäßig an Verkaufsschulungen und an Schulungen aus dem Bereich der Kfz-Technik teil.
As part of our team, you will take on the following responsibilities: You develop and maintain cloud‑based data pipelines and data products specifically for the Finance domain, built on our Snowflake database.You integrate financial and transactional data from various sources into our central Data Platform, optimize ETL processes, and ensure high data quality.You design and build new DataFlows and DataSets for Finance use cases and create as well as manage the corresponding Power BI reports.You collaborate closely with Finance Product Owners, Data Scientists, and Business Units to deliver meaningful analytical data products.You take ownership of data governance for all Finance data products and actively drive their further development.You support the modernization of our Finance data architecture and contribute to the migration towards cloud‑ and big‑data‑based technologies. What makes you stand out You hold a degree in Computer Science, Business Informatics, or a comparable qualification.You have strong expertise in SQL databases, including data modeling, table design, and data querying — ideally with experience in Snowflake.You bring experience in developing and integrating data products and are familiar with Azure Data Factory, Python, and modern cloud technologies (preferably Azure).You have hands‑on experience creating meaningful Power BI reports; knowledge of CI/CD or container technologies (e.g., Docker, Kubernetes) is a plus.You work analytically, communicate effectively, collaborate well in teams, and demonstrate a strong hands‑on mentality.You are fluent in English and have very good German skills; you also have a passion for financial databases and enjoy exploring new topics.
As part of our team, you will take on the following responsibilities: You are the driving force that transforms innovative AI/ML concepts from the lab environment into robust, scalable products — ensuring prototypes evolve into stable, production‑ready systems.You operationalize the entire ML lifecycle, developing automated CI/CD pipelines, taking ownership of deploying models into production, and continuously expanding our resilient MLOps infrastructure.You implement algorithms and complex feature transformations efficiently within production systems, optimizing them for latency, throughput, and maximum stability.You build scalable data pipelines and feature stores that ensure reliable, consistent data supply for both training and serving — online and offline.You establish professional monitoring mechanisms such as drift detection, automated retraining, and validation processes to guarantee long‑term model quality in live operations.You collaborate closely with Data Scientists, MLOps teams, and IT Infrastructure teams, ensuring that all production‑grade AI/ML solutions follow software engineering best practices and comply with security, privacy, and regulatory requirements. What makes you stand out You hold a master’s degree in Computer Science, Software Engineering, Mathematics, Statistics, or a related quantitative field.You have at least 3 years of professional experience in ML Engineering or MLOps, with a proven track record of building, deploying, and operating tailored AI/ML solutions in production.You bring deep expertise in Python and SQL, hands‑on experience with cloud platforms (ideally Azure), and familiarity with data warehouses such as Snowflake; foundational knowledge of Infrastructure‑as‑Code tools like Terraform is a plus.You are proficient with CI/CD tools (e.g., Azure DevOps), containerization technologies (Docker/Kubernetes), and apply modern software design patterns confidently.You thrive in a dynamic, agile, and innovative environment, working effectively both independently and as part of a team.You possess excellent English communication skills, both written and spoken; German language skills are considered a plus.
Ansteckende Leidenschaft für unsere Produkte und Bereitschaft, selbst aktiv anzupacken. Freude an Zahlen und Erfahrung im Arbeiten mit Computern. Organisationsgeschick und die Motivation, Verantwortung zu übernehmen und Abläufe zu optimieren. Gute Laune und Hilfsbereitschaft, auch früh am Morgen.
Ansteckende Leidenschaft für unsere Produkte und Bereitschaft, selbst aktiv anzupacken. Freude an Zahlen und Erfahrung im Arbeiten mit Computern. Organisationsgeschick und die Motivation, Verantwortung zu übernehmen und Abläufe zu optimieren. Gute Laune und Hilfsbereitschaft, auch früh am Morgen.
What you will do: Welcome visitors and keep record of incoming visitors Responsibility for documents workflow (incoming/outgoing post, messengers deliveries and its evidence in the internal mailing room and delivery area) Professional communication (in person, on the telephone or email) Cooperates closely with Facility and Office Services Team You should have: Fluent knowledge of English and Czech (both written and spoken) Computer literate, good knowledge of MS Office Excellent organizational and communication skills Customer oriented, positive and professional approach Experience as receptionist is a great advantage What we offer: Great team of IT professionals and the possibility of technical development An extra week of holiday (25 days/year) 6 Self-sickness days/year Full salary compensation for up to 10 days absence due to illness per the calendar year Cafeteria employee benefit program with wide selection of benefits from Edenred On-going professional and technical training and certifications A multicultural environment in modern offices Pension plan contribution Multisport card Employee Referral Program Company sponsorship of various sports and social clubs Smart casual dress code In DHL ITS Prague, you will have the opportunity to be part of over 1650 highly skilled IT professionals of 67 nationalities.