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48 results for Python Data Engineer jobs in Temse within a 30 km radius
No match yet? There are 48 more jobs that could match your search
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We are seeking a talented and passionate Databricks Data Engineer to join our expanding Data & AI team Databricks Partner (50 FTE). * Proven Experience: 3+ years of experience as a Data Engineer with demonstrated expertise in Databricks. * Programming Skills: Strong programming skills in Python or Scala, with experience in data manipulation libraries (e.g., PySpark, Spark SQL). We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to deliver high-quality data pipelines and enable data-decision-.
We are seeking a talented and passionate Databricks Data Engineer to join our expanding Data & AI team Databricks Partner (50 FTE). * Proven Experience: 3+ years of experience as a Data Engineer with demonstrated expertise in Databricks. * Programming Skills: Strong programming skills in Python or Scala, with experience in data manipulation libraries (e.g., PySpark, Spark SQL). We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. In this role, you will be a crucial player in designing, building, and maintaining cutting-edge data solutions on the Databricks platform. You will have the opportunity to work with a variety of clients across different industries, collaborating with both internal teams and client stakeholders to deliver high-quality data pipelines and enable data-decision-.
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We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 - We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. * Build and maintain data pipelines for data ingestion, processing, and transformation * Contribute to the development of Devoteam's data * 5+ years of experience in a data science or machine learning role * Strong programming skills in Python or R * Experience with big data technologies such as Hadoop, Spark, or Hive * Work with innovative and impactful Cloud, Data & AI projects for industry-leading clients
We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50 - We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. * Build and maintain data pipelines for data ingestion, processing, and transformation * Contribute to the development of Devoteam's data * 5+ years of experience in a data science or machine learning role * Strong programming skills in Python or R * Experience with big data technologies such as Hadoop, Spark, or Hive * Work with innovative and impactful Cloud, Data & AI projects for industry-leading clients
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As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. * Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Are you passionate about data-driven platforms, machine learning models, and innovative applications? * Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks. * Data Management: Gather, prepare, and manage data for analysis. * Act as a strategic to client Data Science teams, helping them navigate their challenges and aspirations. * Inspire clients with new data-driven opportunities. * Bring best practices in Git, DevOps, and CICD to enhance client data platforms.
As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. * Build and maintain data platforms and pipelines using Azure, AWS or Google Cloud, Databricks, and Python. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Are you passionate about data-driven platforms, machine learning models, and innovative applications? * Platform Setup: Design and implement robust data platforms using Azure, AWS or Google Cloud and Databricks. * Data Management: Gather, prepare, and manage data for analysis. * Act as a strategic to client Data Science teams, helping them navigate their challenges and aspirations. * Inspire clients with new data-driven opportunities. * Bring best practices in Git, DevOps, and CICD to enhance client data platforms.
Important to know, if you are not a Google Data Engineer but an AWS Data Engineer or Azure Data Engineer and you really would like to learn and grow into a Google Data Engineer role, no problem we can - As a Senior Google Data Engineer, you will be responsible for the end-to-end design, implementation, and optimization of robust, scalable data pipelines and solutions primarily on Google Cloud Platform (GCP). * Relevant Google Cloud Professional Certification (e.g., Professional Data Engineer, Cloud Architect). We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. You will translate complex business requirements into technical blueprints and lead the hands-on delivery of the data infrastructure. Alongside Rik, our Head of Data & Analytics, you will sync with the customer and serve as the technical authority on how to best ...
Important to know, if you are not a Google Data Engineer but an AWS Data Engineer or Azure Data Engineer and you really would like to learn and grow into a Google Data Engineer role, no problem we can - As a Senior Google Data Engineer, you will be responsible for the end-to-end design, implementation, and optimization of robust, scalable data pipelines and solutions primarily on Google Cloud Platform (GCP). * Relevant Google Cloud Professional Certification (e.g., Professional Data Engineer, Cloud Architect). We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. You will translate complex business requirements into technical blueprints and lead the hands-on delivery of the data infrastructure. Alongside Rik, our Head of Data & Analytics, you will sync with the customer and serve as the technical authority on how to best ...
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As Lead Data Engineer, you will be at the heart of our customers data strategy. You will constantly be supported by the Data Tribe that is full of fellow engineers with a - We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. You'll define how it should be structured and help them make decisions that are data-driven. Alongside Sven, our Head of Data & Analytics, you will sync with the customer and define what can be done with the data they have and how it can be used to tackle different business challenges. * Have a know how of data-architecture and data-infrastructure * Experience with Data Engineering & data pipelines * Pipeline development experience with Python, Golang or Java * Experience in Google Cloud or other cloud environments & data processing solutions * interview with Sven, our Head of Data & Analytics: You'll have ...
As Lead Data Engineer, you will be at the heart of our customers data strategy. You will constantly be supported by the Data Tribe that is full of fellow engineers with a - We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. You'll define how it should be structured and help them make decisions that are data-driven. Alongside Sven, our Head of Data & Analytics, you will sync with the customer and define what can be done with the data they have and how it can be used to tackle different business challenges. * Have a know how of data-architecture and data-infrastructure * Experience with Data Engineering & data pipelines * Pipeline development experience with Python, Golang or Java * Experience in Google Cloud or other cloud environments & data processing solutions * interview with Sven, our Head of Data & Analytics: You'll have ...
Proven experience as a BI Developer, Data Engineer, or similar role with a strong focus on Microsoft technologies. * Experience with Python or Scala for data manipulation and automation is highly desirable. * Microsoft certifications related to Data Engineering, Power BI, or Azure (e.g., Microsoft Certified: Fabric Analytics Engineer Associate, Power BI Data Analyst Associate). We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. You will play a crucial role in transforming raw data into actionable insights, enabling data-driven decision-the organization. * Design, build, and maintain scalable data pipelines and data models within Microsoft Fabric, utilizing components like OneLake, Data Factory and Data Engineering. * Develop and optimize data warehousing solutions using Data Warehouse in Fabric.
Proven experience as a BI Developer, Data Engineer, or similar role with a strong focus on Microsoft technologies. * Experience with Python or Scala for data manipulation and automation is highly desirable. * Microsoft certifications related to Data Engineering, Power BI, or Azure (e.g., Microsoft Certified: Fabric Analytics Engineer Associate, Power BI Data Analyst Associate). We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. You will play a crucial role in transforming raw data into actionable insights, enabling data-driven decision-the organization. * Design, build, and maintain scalable data pipelines and data models within Microsoft Fabric, utilizing components like OneLake, Data Factory and Data Engineering. * Develop and optimize data warehousing solutions using Data Warehouse in Fabric.
Together with cloud and data engineers, service leads and sales, you'll run your projects making sure to meet the project deadlines and our customer's expectations. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Experience – Minimum of 2 years in a similar role, preferably in IT (Cloud environment, Infrastructure, IT workspace, Data).
Together with cloud and data engineers, service leads and sales, you'll run your projects making sure to meet the project deadlines and our customer's expectations. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Experience – Minimum of 2 years in a similar role, preferably in IT (Cloud environment, Infrastructure, IT workspace, Data).
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• Advise on governance, compliance, data protection, and best practices • Data Loss Prevention: endpoint DLP, cloud DLP, insider risk controls • Information Governance & Records Management: retention labels/policies, data lifecycle architecture • eDiscovery (Standard / Premium): case creation, legal hold, data investigations • Experience designing end-to-end data protection strategies in complex environments
• Advise on governance, compliance, data protection, and best practices • Data Loss Prevention: endpoint DLP, cloud DLP, insider risk controls • Information Governance & Records Management: retention labels/policies, data lifecycle architecture • eDiscovery (Standard / Premium): case creation, legal hold, data investigations • Experience designing end-to-end data protection strategies in complex environments
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Commercial data and insights platforms (e.g. data platform on Microsoft Fabric, Power BI) * Ensure data is reliable, accessible and meaningful for commercial decision-making * Experience with customer portals, digital integrations and data-driven solutions is highly desirable
Commercial data and insights platforms (e.g. data platform on Microsoft Fabric, Power BI) * Ensure data is reliable, accessible and meaningful for commercial decision-making * Experience with customer portals, digital integrations and data-driven solutions is highly desirable
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Strong knowledge of the Python programming language and its core concepts such as object-oriented programming, functional programming and data structures. By combining creativity, tech and data insights, we empower our customers to transform their business and unlock the future. * Experience with popular Python web frameworks such as Django, Flask, or Pyramid. * Understanding of software design patterns and architecture principles, such as Clean Software Architecture, Data Structures, Microservices, Event-Driven, MVC, and SOA * Familiarity with data analysis and visualization libraries such as pandas, numpy and matplotlib.
Strong knowledge of the Python programming language and its core concepts such as object-oriented programming, functional programming and data structures. By combining creativity, tech and data insights, we empower our customers to transform their business and unlock the future. * Experience with popular Python web frameworks such as Django, Flask, or Pyramid. * Understanding of software design patterns and architecture principles, such as Clean Software Architecture, Data Structures, Microservices, Event-Driven, MVC, and SOA * Familiarity with data analysis and visualization libraries such as pandas, numpy and matplotlib.
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Excellent analytical and problem-solving skills, with the capacity to translate data into strategic insights.
Excellent analytical and problem-solving skills, with the capacity to translate data into strategic insights.
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You are proficient in analyzing trade data, identifying compliance gaps, and implementing corrective actions to ensure adherence to regulations.
You are proficient in analyzing trade data, identifying compliance gaps, and implementing corrective actions to ensure adherence to regulations.
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Core internal stakeholders are the plant manager, SHE manager, project engineers, process & manufacturing excellence teams, maintenance & production teams. Level of Involvement: Full responsibility – prepare and present reports Frequency: Daily Stakeholders: SHE Manager, Plant Manager, Site Management Team, external environmental consultants The Environmental specialist is responsible for tracking and reporting performance data, non-conformity, CAPA, EMS, performance, compliance form audit internal and external. Strong skills in analyzing data and consumption patterns to identify inefficiencies and opportunities for improvement. Familiarity with environmental management systems (EMS) and the ability to translate data insights into actionable strategies is essential.
Core internal stakeholders are the plant manager, SHE manager, project engineers, process & manufacturing excellence teams, maintenance & production teams. Level of Involvement: Full responsibility – prepare and present reports Frequency: Daily Stakeholders: SHE Manager, Plant Manager, Site Management Team, external environmental consultants The Environmental specialist is responsible for tracking and reporting performance data, non-conformity, CAPA, EMS, performance, compliance form audit internal and external. Strong skills in analyzing data and consumption patterns to identify inefficiencies and opportunities for improvement. Familiarity with environmental management systems (EMS) and the ability to translate data insights into actionable strategies is essential.
You will constantly be supported by the Data Tribe that is full of fellow engineers with a - We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As Lead Data Architect, you will be at the heart of our customers data strategy. You'll define how it should be structured and help them make decisions that are data-driven. Alongside Rik, our Head of Data & Analytics, you will sync with the customer and define what can be done with the data they have and how it can be used to tackle different business challenges. * Have a know how of data-architecture and data-infrastructure * Experience with Data Engineering & data pipelines * Pipeline development experience with Python, Golang or Java * Experience in Google Cloud or other cloud environments & data processing solutions
You will constantly be supported by the Data Tribe that is full of fellow engineers with a - We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. As Lead Data Architect, you will be at the heart of our customers data strategy. You'll define how it should be structured and help them make decisions that are data-driven. Alongside Rik, our Head of Data & Analytics, you will sync with the customer and define what can be done with the data they have and how it can be used to tackle different business challenges. * Have a know how of data-architecture and data-infrastructure * Experience with Data Engineering & data pipelines * Pipeline development experience with Python, Golang or Java * Experience in Google Cloud or other cloud environments & data processing solutions
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We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Are you a Data & AI Product Owner passionate about shaping the future of data-driven solutions? Do you thrive in a consulting environment, guiding clients on their data journey across multiple cloud platforms? As a Data & AI Product Owner, you'll be a key member of our Data Strategy team. You'll work closely with clients to understand their business challenges and translate them into a compelling vision and capabilities roadmap for data and AI products. You'll be the linchpin connecting business needs with technical solutions, ensuring that our data initiatives deliver real, tangible value. The Product Owner, as a key member of the Data Strategy team, will typically collaborate closely with and receive direction from the .
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Are you a Data & AI Product Owner passionate about shaping the future of data-driven solutions? Do you thrive in a consulting environment, guiding clients on their data journey across multiple cloud platforms? As a Data & AI Product Owner, you'll be a key member of our Data Strategy team. You'll work closely with clients to understand their business challenges and translate them into a compelling vision and capabilities roadmap for data and AI products. You'll be the linchpin connecting business needs with technical solutions, ensuring that our data initiatives deliver real, tangible value. The Product Owner, as a key member of the Data Strategy team, will typically collaborate closely with and receive direction from the .
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Loves to work with business data, as basis for analysis.
Loves to work with business data, as basis for analysis.
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Being heavily driven by the modern technology landscape covering Cloud transformation, AI solutions, Data Analytics and Cybersecurity it is time to grow a new dedicated vertical in the region on Multicloud Managed Services. * Solution Selling: Understand customer needs and effectively position cloud managed services solutions, including cloud infrastructure management, application modernization, cybersecurity, and data analytics.
Being heavily driven by the modern technology landscape covering Cloud transformation, AI solutions, Data Analytics and Cybersecurity it is time to grow a new dedicated vertical in the region on Multicloud Managed Services. * Solution Selling: Understand customer needs and effectively position cloud managed services solutions, including cloud infrastructure management, application modernization, cybersecurity, and data analytics.
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Own the BeLux KPIs and P&L: monitor performance, detect weak signals, and propose data-backed improvements. * Data‑driven: confident with KPIs, dashboards, CRM, and translating field insights into action.
Own the BeLux KPIs and P&L: monitor performance, detect weak signals, and propose data-backed improvements. * Data‑driven: confident with KPIs, dashboards, CRM, and translating field insights into action.
Presenting proposals to sales, utilizing market and internal data to validate and justify proposals * Booking sales contracts upon agreement from customers to lock in business * Utilizing open book pricing models, including commodity market coverage, margin analysis and proactive data management
Presenting proposals to sales, utilizing market and internal data to validate and justify proposals * Booking sales contracts upon agreement from customers to lock in business * Utilizing open book pricing models, including commodity market coverage, margin analysis and proactive data management
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Master Data Management - Support the establishment of a small master data team responsible for maintaining high-quality master data across the organization - Ensure coherence, accuracy, and governance of key supply chain master data (e.g., items, article data, BOM, routings, locations) Collaborate with IT and business stakeholders to define ownership, standards, and processes for master data management - Understand the impact of master data on supply chain performance
Master Data Management - Support the establishment of a small master data team responsible for maintaining high-quality master data across the organization - Ensure coherence, accuracy, and governance of key supply chain master data (e.g., items, article data, BOM, routings, locations) Collaborate with IT and business stakeholders to define ownership, standards, and processes for master data management - Understand the impact of master data on supply chain performance
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• Analyze and report data/ findings clearly and promptly, documenting all relevant data for effective use across the organization
• Analyze and report data/ findings clearly and promptly, documenting all relevant data for effective use across the organization
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Monitor operational capacity, analyze performance data, and report timely and accurately to achieve KPIs and business plan targets
Monitor operational capacity, analyze performance data, and report timely and accurately to achieve KPIs and business plan targets
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Deliver timely and accurate reporting on relevant risk data, take corrective actions to meet KPIs and business plan targets, and evaluate outcomes to adjust where necessary
Deliver timely and accurate reporting on relevant risk data, take corrective actions to meet KPIs and business plan targets, and evaluate outcomes to adjust where necessary
Analyzing and interpreting financial data to ensure accuracy and consistency.
Analyzing and interpreting financial data to ensure accuracy and consistency.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Using a Python-native stack (Streamlit, Boto3, LangChain), you will develop a decoupled back-end capable of sophisticated reasoning, while simultaneously building the CI/CD pipelines and Infrastructure as Code (IaC) required to deploy this solution at scale. You will act as the bridge between data science and software engineering, ensuring that advanced AI models are not just functional, but production-ready, secure, and easily deployable. ● Programming: Strong proficiency in Python (the primary language for both AI logic and infrastructure). * Practical Experience: Hands-on work with leading technologies in cloud computing, data processing, and full-stack development.
We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise. Using a Python-native stack (Streamlit, Boto3, LangChain), you will develop a decoupled back-end capable of sophisticated reasoning, while simultaneously building the CI/CD pipelines and Infrastructure as Code (IaC) required to deploy this solution at scale. You will act as the bridge between data science and software engineering, ensuring that advanced AI models are not just functional, but production-ready, secure, and easily deployable. ● Programming: Strong proficiency in Python (the primary language for both AI logic and infrastructure). * Practical Experience: Hands-on work with leading technologies in cloud computing, data processing, and full-stack development.