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Experience Level
Senior
Qualifications
The ideal candidate will possess:A minimum of 5 years of experience in data science or a related field. Proficiency in programming languages such as Python and R. Strong understanding of machine learning algorithms and statistical analysis. Experience with data visualization tools like Tableau or Power BI. Excellent problem-solving skills and the ability to communicate complex concepts clearly.
About the job
The Senior Data Scientist - AI & Analytics position at Instructure in Budapest centers on using data science and machine learning to enhance products and services. This role requires collaboration with team members from various departments to address business challenges through data-driven solutions.
Key responsibilities
Analyze large and complex data sets to extract actionable insights.
Build predictive models that support business decision-making.
Work closely with colleagues from different functions to apply analytical methods to real-world problems.
Location
This position is based in Budapest, Hungary.
About Instructure, Inc.
Instructure is a leading education technology company dedicated to improving learning outcomes for students and educators. Our innovative products, including Canvas and Bridge, empower institutions to deliver high-quality education through technology. Join us and be part of a mission-driven company that values creativity, collaboration, and continuous improvement.
Role overview The Senior Data Scientist - AI & Analytics position at Instructure in Budapest centers on using data science and machine learning to enhance products and services. This role requires collaboration with team members from various departments to address business challenges through data-driven solutions. Key responsibilities Analyze large and complex data sets to extract actionable insights. Build predictive models that support business decision-making. Work closely with colleagues from different functions to apply analytical methods to real-world problems. Location This position is based in Budapest, Hungary.
Join Instructure as a Senior Data Scientist specializing in Applied AI, where you will have the opportunity to harness the power of data to drive innovative solutions. In this role, you will collaborate with cross-functional teams to develop cutting-edge AI models that enhance our educational platforms. Your expertise will be critical in analyzing complex datasets, creating predictive models, and implementing machine learning algorithms that directly impact our products and users.
Bosch Group is hiring a Data Scientist and AI Engineer in Budapest. This position centers on applying data analytics and artificial intelligence to improve products and processes. Role overview Work closely with colleagues from different disciplines to design and build machine learning models. The focus is on creating solutions that add value to Bosch Group’s offerings. What you will do Develop and implement machine learning models Use data analytics to identify opportunities for improvement Collaborate with cross-functional teams to integrate AI-driven solutions Requirements Experience in data science and artificial intelligence Ability to work with teams from various backgrounds Strong skills in building and deploying machine learning models
Deutsche Telekom IT Solutions seeks a Data Scientist (REF5387K) to join its team in Budapest or Debrecen. The role centers on analyzing complex datasets, developing statistical models, and applying machine learning methods to support decisions across several business areas. Key Responsibilities Examine large and diverse data sets to spot trends and patterns Develop and implement statistical models and machine learning algorithms Convert data insights into practical recommendations for various business teams Collaborate with colleagues to address challenging data questions Who Thrives Here This position fits those who value teamwork and are eager to tackle complex challenges using data-driven approaches.
Join our team at BDA_CDI HUB, where we deliver comprehensive IT solutions for T-Systems that encompass data management, analytics, visualization, and process automation.Our expertise covers everything from user-friendly analytics platforms to enterprise-level data warehouse and analytics solutions. We are dedicated to driving data-driven initiatives and implementing advanced analytics through cloud services, transforming our traditional data warehouse architecture into a centralized T-Systems Lakehouse framework to optimize performance and efficiency.Our work environment is dynamic, innovative, and focused on continuous learning and professional development.As a Senior Developer in Data Analytics & Data Engineering, your responsibilities will include:Designing IT platforms, processes, and structural frameworks for our evolving Lakehouse on Azure, using cutting-edge technologies such as Databricks, Data Factory, Data Lake Storage, Event Hub, and more.Developing sustainable architectures, prototyping solutions, and assessing new technologies to foster innovation.Supporting engineering teams in platform architecture development and mentoring them towards independent solution design.Ensuring the protection and security of business-critical and personal data.Collaborating with the team to improve platform architecture, establishing principles, patterns, and best practices.
At Cision, we empower individuals to make a significant impact. Your voice matters, your ideas are appreciated, and your unique perspective drives our collective success. As part of our global team, you will thrive in an environment that champions curiosity, collaboration, and innovation. Your contributions will be meaningful in accelerating the brands we support. Join us in redefining communication and fostering authentic connections that truly matter. Whether you’re tackling complex challenges or spearheading innovative solutions, your growth is synonymous with our success. Together, we will shape the conversations of the future. Empower your impact at Cision. Be seen, be understood, be yourself. About the RoleCision boasts one of the largest media and content databases globally. Our data science team is dedicated to developing intelligent and high-impact features powered by machine learning and NLP.As a Staff Data Scientist, you will join our Machine Learning and Data Science team, focusing on the development and deployment of machine learning models directly utilized in our products. You will tackle complex, high-visibility challenges while collaborating closely with engineering, product, and analytics teams to transform prototypes into production-ready solutions.This position is perfect for an individual who demonstrates strong ownership, consistently delivers high-quality work promptly, and serves as a subject matter expert on key ML components or services. Key ResponsibilitiesDevelop and implement complex machine learning and NLP solutions end-to-end.Analyze extensive datasets to extract insights, design features, and inform modeling decisions.Collaborate with engineering teams to build, test, and deploy ML models into production systems.Create tools, frameworks, and reusable components that enhance model development independently.Work cross-functionally with product managers, engineers, and analysts to convert prototypes into production-grade models and services.Exhibit sound judgment regarding risk, workload management, prioritization, and escalation.Function as a go-to subject matter expert in your domain while significantly contributing to team commitments and delivery.
Join Instructure as a Senior Applied Data Scientist specializing in Learner Modeling, where you will leverage data to enhance educational experiences. In this dynamic role, you will work on innovative projects that drive learning outcomes and improve our platform. Collaborate with a talented team of data scientists and engineers to develop advanced models that analyze learner behavior and provide actionable insights.
Join our dynamic team at dept as an Analytics Consultant, where you will harness data to drive strategic decision-making and optimize performance. We are seeking an analytical thinker with a robust understanding of data analytics tools and methodologies to support our clients in achieving their goals.
Role Overview NielsenIQ is hiring an Analytic Insight Associate in Budapest. This position focuses on analyzing complex datasets and turning findings into practical recommendations that help clients grow their businesses. What You Will Do Analyze large and varied data sets to uncover trends and insights Deliver clear, actionable recommendations based on your analysis Work with cross-functional teams to improve reporting tools and processes Support data-driven decisions for both internal teams and clients Collaboration This role works closely with colleagues from different departments, combining skills to enhance reporting and ensure insights are relevant and impactful.
Join a global leader in technology dedicated to energy innovation for a sustainable future. Our client is at the forefront of transforming energy solutions with advanced gas engine technologies, digital platforms, and energy services. With operations in over 100 countries, they focus on advancing engineering while prioritizing the well-being of people and the planet.The Senior Data Engineer plays a crucial role in collaboration with Data Analysts, BI Developers, and Requirements Engineers to lay the groundwork for all analytical projects. This position entails building and managing data pipelines that extract, transform, and load (ETL) data from various sources into a centralized repository, subsequently facilitating project-specific data delivery.Your Responsibilities: Architect and deploy scalable and resilient data pipelines that meet the analytics and data processing requirements. Design and maintain robust database architectures, including data lakes and warehouses. Ensure data integrity and consistency through meticulous data cleaning, transformation, and validation processes. Engage with Data Analysts, BI Developers, and Requirements Engineers to gather project requirements and provide data solutions aligned with business goals. Enhance data retrieval processes by developing pipelines and physical data models tailored for reports and various analytical projects. Implement data security and privacy protocols to ensure compliance with legal and regulatory standards. Document all created data pipelines comprehensively.
Join us as an AI Data Specialist focused on enhancing AI-generated content in Hungarian. Job Type: FreelanceLocation: RemoteWork Schedule: Part-time - 10+ hours per week, flexible hours.Start Date: ImmediateDuration: To be confirmedRate: Rates vary based on location Be a Part of AI's FutureAre you a student, recent grad, stay-at-home parent, or professional searching for flexible remote work? If you're passionate about shaping the growth and safety of AI models, we'd love to hear from you! Your ResponsibilitiesThe role includes various data-related tasks such as:- Collecting, evaluating, and annotating data.- Conducting pairwise comparisons.- Performing counting tasks.- Tagging and labeling objects across various content types (audio, video, images, etc.) Qualifications We Seek:- Native-level proficiency in Hungarian- English Proficiency: Fluent or advanced (B2–C2)- AI & Data Skills (Preferred): Experience in machine learning tasks, data collection, preprocessing, evaluation, and annotation. What We Provide- Flexible work schedule- Opportunity for additional income- Timely payment- Ideal for students, part-time workers, or stay-at-home parents
Join our dynamic team as a Senior Data Engineer specializing in the Power Platform at Deutsche Telekom IT Solutions in Budapest. In this pivotal role within our international Common Data Intelligence Hub, you will enhance our Cloud Data & Analytics Platform by serving as the crucial link between Self-Service BI teams and the Azure Lakehouse backend.Our Cloud Data & Analytics Platform integrates Azure Lakehouse technologies (Data Factory, Databricks, dbt, CDC Framework) with Microsoft Power Platform services (Power BI, Power Apps, Power Automate, SharePoint Online). This innovative platform empowers business units to develop and manage their own analytics and reporting solutions while adhering to enterprise-level security, governance, and data management protocols.As a Senior Data Engineer, you will ensure that self-service solutions operate efficiently, securely, and reliably in accordance with established standards. You will provide guidance and support to business and data teams, helping them navigate the technical framework, governance principles, and best practices for sustainable analytics solutions. Collaboration with platform engineers will be key to maintaining operational alignment between the Power Platform frontend and the Lakehouse backend.Platform Operations & Maintenance:Ensure the reliable operation and performance optimization of Power Platform components (Power BI Service, Power Apps, Power Automate, SharePoint Online) within the Cloud Data & Analytics Platform.Monitor platform usage and performance to guarantee optimal resource allocation and cost efficiency.Manage Power BI gateways and secure data connections to the Azure Lakehouse backend (ADF, Databricks, dbt, CDC Framework).Oversee role-based access control (RBAC) and workspace permissions in line with corporate governance and Azure security principles.Optimize data refresh and load processes to maintain the freshness and stability of analytical datasets.Work closely with platform engineering teams to address incidents, coordinate upgrades, and implement technical improvements across both frontend and backend layers.Create standardized operational dashboards and reports to enhance transparency regarding platform usage, capacity, and performance metrics.Governance & Best Practices:Consult and coach Self-Service BI teams on effectively utilizing Power BI, Power Apps, and Power Automate within the governance framework.Guide new teams through onboarding and compliance processes, ensuring proper workspace configuration.
Kostal Group is seeking a Senior Business Analyst focused on SAP Analytics Transformation in Budapest. This position plays a key role in shaping how the organization uses data to improve business processes and support important decisions. Role overview This role centers on analyzing business needs and translating them into effective SAP analytics solutions. Working closely with teams across the company, the Senior Business Analyst ensures that analytics tools and reports align with Kostal Group’s goals. What you will do Drive business insights through SAP analytics Collaborate with multiple departments to understand requirements Help improve operational efficiency by refining analytics processes Support strategic decision-making with accurate and relevant data Location This position is based in Budapest.
Join our esteemed client, a well-established IT consulting firm with over two decades of expertise in executing large-scale technology projects across various sectors. Their enduring collaborations with major organizations demonstrate their technical prowess and financial reliability, bolstered by consistently high external credit ratings. Operating with a streamlined core team, the company boasts low turnover rates and fosters a collaborative culture built on trust, long-term partnerships, and a commitment to high-quality deliverables. With engagements spanning telecommunications, healthcare, and academia, this role offers engineers the chance to work on diverse and intricate projects while enjoying a flexible and supportive work environment.We are seeking a Senior Data Engineer to help manage extensive data environments characterized by high-volume datasets, intricate integrations, and analytical applications. This hands-on engineering position emphasizes the creation and upkeep of data pipelines, in-depth understanding of end-to-end data flows, and resolution of data quality concerns across distributed systems.You will collaborate closely with engineers, analysts, and stakeholders to ensure the delivery of reliable, scalable, and well-structured data solutions that enhance analytics and machine learning efforts.Key Responsibilities:Design, construct, and sustain scalable data ingestion and ETL/ELT pipelines.Manage large datasets and interfaces that feed into enterprise-level databases.Examine data flows and diagnose inconsistencies across systems.Conduct root cause analyses to trace erroneous outputs back to original source systems.Prepare datasets for analytics and machine learning applications.Participate in data modeling and mapping activities.Assist machine learning initiatives through data preparation, evaluation, and optimization.Establish and implement data quality monitoring frameworks.Create visualizations to facilitate data interpretation and insights.
Join our dynamic team as a Senior Data Engineer where you will play a pivotal role in shaping our data architecture and driving innovative solutions. You will be responsible for designing, building, and maintaining robust data pipelines that ensure our data is accessible, reliable, and ready for analysis. Your expertise will directly contribute to enhancing our data-driven decision-making processes.
Join our innovative partner company, a global frontrunner in manufacturing cutting-edge systems, modules, and components for commercial vehicles. Their success is driven by a relentless pursuit of quality and excellence in design. By seamlessly integrating individual products, they offer highly efficient solutions and customized concepts tailored to meet unique customer requirements. Their commitment to incorporating advanced technologies ensures they remain at the forefront of industry advancements while continuously setting new benchmarks for reliability and performance.Key Responsibilities:• Oversee the operation of various analytics applications, including Celonis, C-More, PowerBI, Qlik, Deltamaster, and ULP.• Demonstrate strong SQL skills with proficiency in MS SQL and Postgres.• Possess a solid understanding of general BI tools.• Have knowledge of logistics and manufacturing processes.• Show expertise in Windows server environments.• Develop and manage analytics application services.• Coordinate with external IT service providers to ensure smooth operations.• Assist with the implementation and testing of software components and developments.• Collaborate on project management and IT coordination regarding analytics applications.• Participate actively in AMS innovation projects, from planning through to implementation.• Take on project management responsibilities, including budget tracking.
Join Kpler as a Data Engineer specializing in Dry Bulk Commodities, where your expertise will drive innovative solutions in data processing and analytics. Collaborate with a skilled team to enhance our data infrastructure and contribute to impactful projects within the commodities sector.
Join our esteemed partner, a globally recognized leader in the manufacturing of advanced systems, modules, and components tailored for the commercial vehicle sector. Their commitment to innovation and quality has propelled them to the forefront of the industry, allowing them to deliver efficient solutions and customized concepts for a wide range of customer applications. By integrating cutting-edge technology systems, they ensure their products are always aligned with the latest market trends and demands, setting benchmarks in reliability and performance.Drive project management initiatives within the scope of system consolidations and the development of new big data projects.Leverage your expertise in big data, data visualization, and business intelligence tools.Analyze intricate data sets to produce insightful reports and strategic recommendations that inform business decisions.Develop and maintain business intelligence dashboards, reports, and visualization tools to clearly communicate findings to stakeholders.Design and implement data models, data integration processes, and ETL solutions to support BI initiatives.Lead and actively participate in new data-centric projects.RequirementsA degree in information technology, business administration, or equivalent vocational training.Demonstrated experience as a Data Analyst, preferably in a senior or leadership capacity, with a strong emphasis on business intelligence.Proficiency in BI tools such as SAP BI, Tableau, Power BI, and SAP Datasphere.In-depth knowledge of cloud services and big data technologies and frameworks (e.g., Hadoop, Spark, AWS, Google Cloud, Azure, DataBricks).Experience in data modeling, data integration, and ETL processes.Familiarity with programming languages like Python or R.Experience with SAP BI and/or BW/4HANA is a plus.Ability to manage external service providers is advantageous.Fluency in written and spoken English.Strong initiative, excellent presentation skills, and the ability to thrive under pressure.Intercultural competence and a willingness to travel.BenefitsEngaging, challenging, and responsible tasks.Be part of a unique growth journey with outstanding development and career opportunities.Gain insights into the defense and automotive industries.Connect with a professional community of over 30,000 colleagues worldwide.Participate in professional training and events.Enjoy a comprehensive benefits package.
Join Instructure as a Senior Applied AI Engineer specializing in Retrieval and Semantic Systems. In this pivotal role, you will leverage your extensive expertise in artificial intelligence to enhance the capabilities of our products and deliver innovative solutions. You will collaborate with cross-functional teams to design, develop, and implement advanced AI models that optimize information retrieval and semantic understanding.
Full-time|Hybrid|Budapest, London, Manchester, Amsterdam, Rotterdam, Dublin, Zagreb, Split
Join our team as a Lead Data Engineer and play a pivotal role in shaping data engineering strategies at DEPT®. Our hybrid work environment spans across vibrant cities including Budapest, London, Manchester, Amsterdam, Rotterdam, Dublin, Zagreb, and Split.At DEPT®, we empower the world’s most ambitious brands to accelerate their growth, blending technology and marketing through our expert team of over 4,000 specialists. We are proud to partner with industry leaders such as Google, Lufthansa, Meta, eBay, and OpenAI, and have maintained our B Corp and Climate Neutral certifications since 2021.In our Data & AI practice, we are dedicated to producing groundbreaking work that leverages Data & AI across various sectors. As a member of our EMEA Data craft team, you will collaborate with data strategists, scientists, and analysts to tackle complex challenges faced by beloved global brands.As a Lead Data Engineer, you will guide your team in delivering innovative, enterprise-scale data solutions, combining your technical expertise with strong business insights to meet client objectives.
Role overview The Senior Data Scientist - AI & Analytics position at Instructure in Budapest centers on using data science and machine learning to enhance products and services. This role requires collaboration with team members from various departments to address business challenges through data-driven solutions. Key responsibilities Analyze large and complex data sets to extract actionable insights. Build predictive models that support business decision-making. Work closely with colleagues from different functions to apply analytical methods to real-world problems. Location This position is based in Budapest, Hungary.
Join Instructure as a Senior Data Scientist specializing in Applied AI, where you will have the opportunity to harness the power of data to drive innovative solutions. In this role, you will collaborate with cross-functional teams to develop cutting-edge AI models that enhance our educational platforms. Your expertise will be critical in analyzing complex datasets, creating predictive models, and implementing machine learning algorithms that directly impact our products and users.
Bosch Group is hiring a Data Scientist and AI Engineer in Budapest. This position centers on applying data analytics and artificial intelligence to improve products and processes. Role overview Work closely with colleagues from different disciplines to design and build machine learning models. The focus is on creating solutions that add value to Bosch Group’s offerings. What you will do Develop and implement machine learning models Use data analytics to identify opportunities for improvement Collaborate with cross-functional teams to integrate AI-driven solutions Requirements Experience in data science and artificial intelligence Ability to work with teams from various backgrounds Strong skills in building and deploying machine learning models
Deutsche Telekom IT Solutions seeks a Data Scientist (REF5387K) to join its team in Budapest or Debrecen. The role centers on analyzing complex datasets, developing statistical models, and applying machine learning methods to support decisions across several business areas. Key Responsibilities Examine large and diverse data sets to spot trends and patterns Develop and implement statistical models and machine learning algorithms Convert data insights into practical recommendations for various business teams Collaborate with colleagues to address challenging data questions Who Thrives Here This position fits those who value teamwork and are eager to tackle complex challenges using data-driven approaches.
Join our team at BDA_CDI HUB, where we deliver comprehensive IT solutions for T-Systems that encompass data management, analytics, visualization, and process automation.Our expertise covers everything from user-friendly analytics platforms to enterprise-level data warehouse and analytics solutions. We are dedicated to driving data-driven initiatives and implementing advanced analytics through cloud services, transforming our traditional data warehouse architecture into a centralized T-Systems Lakehouse framework to optimize performance and efficiency.Our work environment is dynamic, innovative, and focused on continuous learning and professional development.As a Senior Developer in Data Analytics & Data Engineering, your responsibilities will include:Designing IT platforms, processes, and structural frameworks for our evolving Lakehouse on Azure, using cutting-edge technologies such as Databricks, Data Factory, Data Lake Storage, Event Hub, and more.Developing sustainable architectures, prototyping solutions, and assessing new technologies to foster innovation.Supporting engineering teams in platform architecture development and mentoring them towards independent solution design.Ensuring the protection and security of business-critical and personal data.Collaborating with the team to improve platform architecture, establishing principles, patterns, and best practices.
At Cision, we empower individuals to make a significant impact. Your voice matters, your ideas are appreciated, and your unique perspective drives our collective success. As part of our global team, you will thrive in an environment that champions curiosity, collaboration, and innovation. Your contributions will be meaningful in accelerating the brands we support. Join us in redefining communication and fostering authentic connections that truly matter. Whether you’re tackling complex challenges or spearheading innovative solutions, your growth is synonymous with our success. Together, we will shape the conversations of the future. Empower your impact at Cision. Be seen, be understood, be yourself. About the RoleCision boasts one of the largest media and content databases globally. Our data science team is dedicated to developing intelligent and high-impact features powered by machine learning and NLP.As a Staff Data Scientist, you will join our Machine Learning and Data Science team, focusing on the development and deployment of machine learning models directly utilized in our products. You will tackle complex, high-visibility challenges while collaborating closely with engineering, product, and analytics teams to transform prototypes into production-ready solutions.This position is perfect for an individual who demonstrates strong ownership, consistently delivers high-quality work promptly, and serves as a subject matter expert on key ML components or services. Key ResponsibilitiesDevelop and implement complex machine learning and NLP solutions end-to-end.Analyze extensive datasets to extract insights, design features, and inform modeling decisions.Collaborate with engineering teams to build, test, and deploy ML models into production systems.Create tools, frameworks, and reusable components that enhance model development independently.Work cross-functionally with product managers, engineers, and analysts to convert prototypes into production-grade models and services.Exhibit sound judgment regarding risk, workload management, prioritization, and escalation.Function as a go-to subject matter expert in your domain while significantly contributing to team commitments and delivery.
Join Instructure as a Senior Applied Data Scientist specializing in Learner Modeling, where you will leverage data to enhance educational experiences. In this dynamic role, you will work on innovative projects that drive learning outcomes and improve our platform. Collaborate with a talented team of data scientists and engineers to develop advanced models that analyze learner behavior and provide actionable insights.
Join our dynamic team at dept as an Analytics Consultant, where you will harness data to drive strategic decision-making and optimize performance. We are seeking an analytical thinker with a robust understanding of data analytics tools and methodologies to support our clients in achieving their goals.
Role Overview NielsenIQ is hiring an Analytic Insight Associate in Budapest. This position focuses on analyzing complex datasets and turning findings into practical recommendations that help clients grow their businesses. What You Will Do Analyze large and varied data sets to uncover trends and insights Deliver clear, actionable recommendations based on your analysis Work with cross-functional teams to improve reporting tools and processes Support data-driven decisions for both internal teams and clients Collaboration This role works closely with colleagues from different departments, combining skills to enhance reporting and ensure insights are relevant and impactful.
Join a global leader in technology dedicated to energy innovation for a sustainable future. Our client is at the forefront of transforming energy solutions with advanced gas engine technologies, digital platforms, and energy services. With operations in over 100 countries, they focus on advancing engineering while prioritizing the well-being of people and the planet.The Senior Data Engineer plays a crucial role in collaboration with Data Analysts, BI Developers, and Requirements Engineers to lay the groundwork for all analytical projects. This position entails building and managing data pipelines that extract, transform, and load (ETL) data from various sources into a centralized repository, subsequently facilitating project-specific data delivery.Your Responsibilities: Architect and deploy scalable and resilient data pipelines that meet the analytics and data processing requirements. Design and maintain robust database architectures, including data lakes and warehouses. Ensure data integrity and consistency through meticulous data cleaning, transformation, and validation processes. Engage with Data Analysts, BI Developers, and Requirements Engineers to gather project requirements and provide data solutions aligned with business goals. Enhance data retrieval processes by developing pipelines and physical data models tailored for reports and various analytical projects. Implement data security and privacy protocols to ensure compliance with legal and regulatory standards. Document all created data pipelines comprehensively.
Join us as an AI Data Specialist focused on enhancing AI-generated content in Hungarian. Job Type: FreelanceLocation: RemoteWork Schedule: Part-time - 10+ hours per week, flexible hours.Start Date: ImmediateDuration: To be confirmedRate: Rates vary based on location Be a Part of AI's FutureAre you a student, recent grad, stay-at-home parent, or professional searching for flexible remote work? If you're passionate about shaping the growth and safety of AI models, we'd love to hear from you! Your ResponsibilitiesThe role includes various data-related tasks such as:- Collecting, evaluating, and annotating data.- Conducting pairwise comparisons.- Performing counting tasks.- Tagging and labeling objects across various content types (audio, video, images, etc.) Qualifications We Seek:- Native-level proficiency in Hungarian- English Proficiency: Fluent or advanced (B2–C2)- AI & Data Skills (Preferred): Experience in machine learning tasks, data collection, preprocessing, evaluation, and annotation. What We Provide- Flexible work schedule- Opportunity for additional income- Timely payment- Ideal for students, part-time workers, or stay-at-home parents
Join our dynamic team as a Senior Data Engineer specializing in the Power Platform at Deutsche Telekom IT Solutions in Budapest. In this pivotal role within our international Common Data Intelligence Hub, you will enhance our Cloud Data & Analytics Platform by serving as the crucial link between Self-Service BI teams and the Azure Lakehouse backend.Our Cloud Data & Analytics Platform integrates Azure Lakehouse technologies (Data Factory, Databricks, dbt, CDC Framework) with Microsoft Power Platform services (Power BI, Power Apps, Power Automate, SharePoint Online). This innovative platform empowers business units to develop and manage their own analytics and reporting solutions while adhering to enterprise-level security, governance, and data management protocols.As a Senior Data Engineer, you will ensure that self-service solutions operate efficiently, securely, and reliably in accordance with established standards. You will provide guidance and support to business and data teams, helping them navigate the technical framework, governance principles, and best practices for sustainable analytics solutions. Collaboration with platform engineers will be key to maintaining operational alignment between the Power Platform frontend and the Lakehouse backend.Platform Operations & Maintenance:Ensure the reliable operation and performance optimization of Power Platform components (Power BI Service, Power Apps, Power Automate, SharePoint Online) within the Cloud Data & Analytics Platform.Monitor platform usage and performance to guarantee optimal resource allocation and cost efficiency.Manage Power BI gateways and secure data connections to the Azure Lakehouse backend (ADF, Databricks, dbt, CDC Framework).Oversee role-based access control (RBAC) and workspace permissions in line with corporate governance and Azure security principles.Optimize data refresh and load processes to maintain the freshness and stability of analytical datasets.Work closely with platform engineering teams to address incidents, coordinate upgrades, and implement technical improvements across both frontend and backend layers.Create standardized operational dashboards and reports to enhance transparency regarding platform usage, capacity, and performance metrics.Governance & Best Practices:Consult and coach Self-Service BI teams on effectively utilizing Power BI, Power Apps, and Power Automate within the governance framework.Guide new teams through onboarding and compliance processes, ensuring proper workspace configuration.
Kostal Group is seeking a Senior Business Analyst focused on SAP Analytics Transformation in Budapest. This position plays a key role in shaping how the organization uses data to improve business processes and support important decisions. Role overview This role centers on analyzing business needs and translating them into effective SAP analytics solutions. Working closely with teams across the company, the Senior Business Analyst ensures that analytics tools and reports align with Kostal Group’s goals. What you will do Drive business insights through SAP analytics Collaborate with multiple departments to understand requirements Help improve operational efficiency by refining analytics processes Support strategic decision-making with accurate and relevant data Location This position is based in Budapest.
Join our esteemed client, a well-established IT consulting firm with over two decades of expertise in executing large-scale technology projects across various sectors. Their enduring collaborations with major organizations demonstrate their technical prowess and financial reliability, bolstered by consistently high external credit ratings. Operating with a streamlined core team, the company boasts low turnover rates and fosters a collaborative culture built on trust, long-term partnerships, and a commitment to high-quality deliverables. With engagements spanning telecommunications, healthcare, and academia, this role offers engineers the chance to work on diverse and intricate projects while enjoying a flexible and supportive work environment.We are seeking a Senior Data Engineer to help manage extensive data environments characterized by high-volume datasets, intricate integrations, and analytical applications. This hands-on engineering position emphasizes the creation and upkeep of data pipelines, in-depth understanding of end-to-end data flows, and resolution of data quality concerns across distributed systems.You will collaborate closely with engineers, analysts, and stakeholders to ensure the delivery of reliable, scalable, and well-structured data solutions that enhance analytics and machine learning efforts.Key Responsibilities:Design, construct, and sustain scalable data ingestion and ETL/ELT pipelines.Manage large datasets and interfaces that feed into enterprise-level databases.Examine data flows and diagnose inconsistencies across systems.Conduct root cause analyses to trace erroneous outputs back to original source systems.Prepare datasets for analytics and machine learning applications.Participate in data modeling and mapping activities.Assist machine learning initiatives through data preparation, evaluation, and optimization.Establish and implement data quality monitoring frameworks.Create visualizations to facilitate data interpretation and insights.
Join our dynamic team as a Senior Data Engineer where you will play a pivotal role in shaping our data architecture and driving innovative solutions. You will be responsible for designing, building, and maintaining robust data pipelines that ensure our data is accessible, reliable, and ready for analysis. Your expertise will directly contribute to enhancing our data-driven decision-making processes.
Join our innovative partner company, a global frontrunner in manufacturing cutting-edge systems, modules, and components for commercial vehicles. Their success is driven by a relentless pursuit of quality and excellence in design. By seamlessly integrating individual products, they offer highly efficient solutions and customized concepts tailored to meet unique customer requirements. Their commitment to incorporating advanced technologies ensures they remain at the forefront of industry advancements while continuously setting new benchmarks for reliability and performance.Key Responsibilities:• Oversee the operation of various analytics applications, including Celonis, C-More, PowerBI, Qlik, Deltamaster, and ULP.• Demonstrate strong SQL skills with proficiency in MS SQL and Postgres.• Possess a solid understanding of general BI tools.• Have knowledge of logistics and manufacturing processes.• Show expertise in Windows server environments.• Develop and manage analytics application services.• Coordinate with external IT service providers to ensure smooth operations.• Assist with the implementation and testing of software components and developments.• Collaborate on project management and IT coordination regarding analytics applications.• Participate actively in AMS innovation projects, from planning through to implementation.• Take on project management responsibilities, including budget tracking.
Join Kpler as a Data Engineer specializing in Dry Bulk Commodities, where your expertise will drive innovative solutions in data processing and analytics. Collaborate with a skilled team to enhance our data infrastructure and contribute to impactful projects within the commodities sector.
Join our esteemed partner, a globally recognized leader in the manufacturing of advanced systems, modules, and components tailored for the commercial vehicle sector. Their commitment to innovation and quality has propelled them to the forefront of the industry, allowing them to deliver efficient solutions and customized concepts for a wide range of customer applications. By integrating cutting-edge technology systems, they ensure their products are always aligned with the latest market trends and demands, setting benchmarks in reliability and performance.Drive project management initiatives within the scope of system consolidations and the development of new big data projects.Leverage your expertise in big data, data visualization, and business intelligence tools.Analyze intricate data sets to produce insightful reports and strategic recommendations that inform business decisions.Develop and maintain business intelligence dashboards, reports, and visualization tools to clearly communicate findings to stakeholders.Design and implement data models, data integration processes, and ETL solutions to support BI initiatives.Lead and actively participate in new data-centric projects.RequirementsA degree in information technology, business administration, or equivalent vocational training.Demonstrated experience as a Data Analyst, preferably in a senior or leadership capacity, with a strong emphasis on business intelligence.Proficiency in BI tools such as SAP BI, Tableau, Power BI, and SAP Datasphere.In-depth knowledge of cloud services and big data technologies and frameworks (e.g., Hadoop, Spark, AWS, Google Cloud, Azure, DataBricks).Experience in data modeling, data integration, and ETL processes.Familiarity with programming languages like Python or R.Experience with SAP BI and/or BW/4HANA is a plus.Ability to manage external service providers is advantageous.Fluency in written and spoken English.Strong initiative, excellent presentation skills, and the ability to thrive under pressure.Intercultural competence and a willingness to travel.BenefitsEngaging, challenging, and responsible tasks.Be part of a unique growth journey with outstanding development and career opportunities.Gain insights into the defense and automotive industries.Connect with a professional community of over 30,000 colleagues worldwide.Participate in professional training and events.Enjoy a comprehensive benefits package.
Join Instructure as a Senior Applied AI Engineer specializing in Retrieval and Semantic Systems. In this pivotal role, you will leverage your extensive expertise in artificial intelligence to enhance the capabilities of our products and deliver innovative solutions. You will collaborate with cross-functional teams to design, develop, and implement advanced AI models that optimize information retrieval and semantic understanding.
Full-time|Hybrid|Budapest, London, Manchester, Amsterdam, Rotterdam, Dublin, Zagreb, Split
Join our team as a Lead Data Engineer and play a pivotal role in shaping data engineering strategies at DEPT®. Our hybrid work environment spans across vibrant cities including Budapest, London, Manchester, Amsterdam, Rotterdam, Dublin, Zagreb, and Split.At DEPT®, we empower the world’s most ambitious brands to accelerate their growth, blending technology and marketing through our expert team of over 4,000 specialists. We are proud to partner with industry leaders such as Google, Lufthansa, Meta, eBay, and OpenAI, and have maintained our B Corp and Climate Neutral certifications since 2021.In our Data & AI practice, we are dedicated to producing groundbreaking work that leverages Data & AI across various sectors. As a member of our EMEA Data craft team, you will collaborate with data strategists, scientists, and analysts to tackle complex challenges faced by beloved global brands.As a Lead Data Engineer, you will guide your team in delivering innovative, enterprise-scale data solutions, combining your technical expertise with strong business insights to meet client objectives.
Feb 18, 2026
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