MS project server)Delivery Heatwave dataset for procured components based on BoMProgram Data Management (incl. data configuration) Implementation of digital workflows and lean management practices to secure continuous PM business process improvements, therefore also initiating and organizing workshops with relevant internal/external stakeholder Requirements: Work in the multi-functional PM Office team of specialists for costs/budget, risks and planningShow initiative, resilience, and persuasiveness when implementing the budget planning process towards the (functional and cross-functional) stakeholders of the organisationAbility to analyse and report cost performanceProcess-driven but also out-of-the-box thinking to improve the existing processes, methods and toolsOpen-minded and resilient person with high analytical skillsConceptual thinking as well as planning, organization and communication skills will be key to succesfully fill out the position.
Diese Herausforderungen übernehmen Sie: Independent concept and generation of the mechanical integration and Test procedures at satellite- and instrument level in one of our large space projects in compliance with functional requirements and cost plansAutonomous execution of mechanical integration and test activitiesDefinition of the MGSE in compliance with technical parameters and tost requirements, support the MGSE procurement considering the budget and schedule constraintsSupport of the Project and System Engineering Teams throughout all project phases with regard to mechanical AIT aspects, be prepared to interface with customers and subcontractorsInterface and harmonize with the teams of related disciplines like Optics, Electric, Work preparation and manufacturingPreparation and implementation of standard AIT boards such as TRR, PTR and TRB, participation in project reviewsImpact Assessment on problems and non-conformances with the proper documentation and pro-active seeking of support of other experts when necessaryTimely preparation and compilation of required AIT documents, such as AIT plans, procedures, and test reportsIn cooperation with Product Assurance: keeping log-sheet records, compilation of non-conformance and problem reports Ihr Profil: Diploma in mechanical engineering or similarPractical experience within satellite space projects, in Phase C/D, experience in mechanical integration and generation of mechanical integration proceduresAbility to establish and work according to integration procedures and to assure the necessary documentationOrganized and structured task approach, high degree of motivation and personal identification with the respective task and projectStrong focus on reaching progress by thinking and communicating in terms of solutions, ability to reach goals also under schedule pressureWillingness for travel, work on mission, work in test campaigns and in shift when the project raises the needExcellent communication skills, ability to work in teams, good written and oral EnglishOptional: Experience of working in the ISO 5 clean room environmentQualified practical apprenticeship Was wir bieten: Zukunftsperspektiven in einem innovativen, wachsenden und agilen UnternehmenEin spannendes Arbeitsumfeld mit vielfältigen KarrierechancenEin tarifliches/ übertarifliches GehaltFlexible Arbeitszeiten sowie mobiles Arbeiten30 Urlaubstage pro Jahr und Sonderurlaub für besondere Anlässe bei Anstellung bei Xtended EngineeringBonusprogramme für Empfehlung und MitarbeiterwerbungTeamevents Xtended Engineering GmbH bringt qualifizierte Ingenieure mit Unternehmen aus der Industrie und Wirtschaft zusammen.
Furthermore, the team is responsible for building an ETL platform used by other stakeholders and the team itself, such as for generating financial reports. What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least seven years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Benefits Hybrid working Täglich frisches Obst Sportkurse Freier Zutritt zur code.talks Exklusive Mitarbeiter Rabatte Kostenlose Getränke Sprachkurse Kostenloser Laracasts Account Company Events Relocation Unterstützung Mobilitätszuschlag State-of-the-art Technologien Zentrale Lage Flexible Arbeitszeiten Betriebliche Altersvorsorge Weiterbildungs- angebote Hunde erlaubt AY Academy Feedbackkultur Firmenfahrrad YOU ARE THE CORE OF ABOUT YOU.
What you will do Gather, analyze, and interpret data to fulfill reporting requests from business stakeholders Translate complex data into clear, actionable insights that support business strategy Support ad hoc analysis and contribute to data-driven decision-making Automate routine reporting processes and maintain existing reports to ensure reliability and improve data workflows Maintain, design, and implement advanced dashboards using tools like Google Looker Studio, enabling self-service analytics across the organization Collaborate with data engineers, data scientists, and stakeholders across the organization to ensure data quality and consistency while delivering data-driven insights that support supply-related business decisions Communicate findings effectively to technical and non-technical audiences Foster a data-driven culture within the organization, promoting the use of analytics in decision-making processes Who you are You have at least 1-2 years of experience as a Data Analyst Proficiency in SQL for complex data analysis, reporting, and querying large datasets Experience with Google BigQuery Experience with data visualization tools (e.g., Looker Studio, Excel, or similar) to create compelling dashboards and reports Excellent communication skills in English Ability to translate fuzzy business requirements from diverse stakeholders into analytical requirements.
Furthermore, the team is responsible for building an ETL platform used by other stakeholders and the team itself, such as for generating financial reports. What you will do: Prepare and structure topics, requirements, and stakeholder requests Answer stakeholder questions and create clear, reliable documentation Support and drive new projects from concept phase to implementation Manage and refine incoming requests via the team’s ticketing workflow Derive and define development tasks based on business and data needs Analyze data flows and assess the impact of changes on existing data deliverables Evaluate new data sources and identify opportunities for process optimization Ensure transparency and quality of KPIs and financial data Who you are: 1+ years of experience in a Technical Business Analyst, Data, or similar role Hands-on mentality and strong willingness to learn Experience working with data and IT systems Solid SQL skills (BigQuery is a plus) Understanding of data structures and data flows Basic programming knowledge is a nice to have Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis.
Furthermore, the team is responsible for building an ETL platform used by other stakeholders and the team itself, such as for generating financial reports. What you will do: Development and evaluation of statistical models and algorithms for complex marketing issues Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action Linking and using the content of data from tracking systems and other reporting sources Support in the further development and testing of performance-relevant (attribution) models Initiation and further development of prediction and classification models using machine learning algorithms Who you are: You bring at least two years of hands-on experience in Data Engineering, ideally in an agency, e-commerce, or performance-driven environment You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus You are proficient in SQL and either Python or R (both are a bonus) Experience with Dagster or comparable data orchestration tools is highly appreciated You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments Additional information: **Working model: Due to the upcoming tasks and responsibilities for this position, it is required to work onsite at our headquarters in Hamburg or Berlin on a weekly basis.
Controlling & Reporting: Du überwachst den Fortschritt von Themen und implementierst ein effektives Controlling (z.B. durch Leistungskennzahlen), um Geschäftsentscheidungen zu unterstützen und Kosten zu optimieren. Reportest regelmäßig an das Gewobag ED Management und gibst Input zur jährlichen Wirtschafts- und Budgetplanung für den eigenen Verantwortungsbereich.
As a Principal position, this role requires a high degree of autonomous working and reports directly to the Director of Engineering. You will be the primary technical lead responsible for all app teams, driving technical discussions and ensuring our solutions are robust and forward-thinking.