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Akkodis is looking for two experienced Azure Cloud Engineers to join a high-performing team focused on building and optimizing cloud-native data and analytics platforms. These roles will involve designing, deploying, and managing scalable solutions using Azure services, Databricks, and Kubernetes, with a strong emphasis on automation and data governance. Key responsibilities include managing cloud infrastructure, developing data solutions, and collaborating with teams to ensure integration and deployment best practices.

Ampstek is looking for a Data Engineer proficient in Data Engineering with hands-on experience in Python, Azure Data Factory, Azure Databricks (PySpark) and ETL. The ideal candidate will demonstrate knowledge of Data Lake storage (storage container) and MSSQL. We value quick learners who are enthusiastic and willing to work on new technologies depending on requirement. Responsibilities also include configuring and deploying using Azure DevOps pipelines.

CipherTek Recruitment is looking for a Machine Learning Operations Lead in the Investment Banking sector. This role involves leading the development of a greenfield framework for scalable AI/ML solutions, defining best practices, and collaborating with data scientists and across business divisions. The ideal candidate should have 2+ years of MLOps experience, a strong background in AI/ML engineering, and proficiency in Azure Databricks and Python.

IT Chapter is looking for a Data Engineer responsible for leading the delivery of data on a data and analytics platform. The role involves designing and implementing data pipelines and collaborating with stakeholders to ensure data governance standards are met. Required skills include programming in Spark with Scala and experience with Azure data architecture.

Gravitas Recruitment Group Ltd is looking for a Data Engineer Azure. In this role, you will be responsible for designing, developing, and maintaining robust data solutions that directly influence strategic decision-making within the organization. You will work closely with product teams and business stakeholders to ensure the data infrastructure is scalable while also mentoring junior engineers. Required skills include 5 years of experience as a Data Engineer with expertise in Azure data services, proficiency in Python, knowledge of data modeling, and experience in Agile environments.

Cognitive Group is looking for a Machine Learning Engineer for a freelance role in the DACH region. The chosen candidate will be responsible for designing, developing, and deploying machine learning models using Azure Machine Learning and Azure Databricks. They will also build and manage data pipelines with Azure Data Factory, deploy models into production environments using Azure Kubernetes Service or Azure Functions, and work closely with business stakeholders to create data-driven solutions and dashboards using Power BI. Implementing MLOps practices within the Azure DevOps ecosystem and ensuring model accuracy and compliance with data protection regulations are key aspects of this role. Candidates should be proficient in Python and familiar with ML frameworks such as Scikit-learn, TensorFlow, and PyTorch, along with strong hands-on experience in Microsoft Azure services.

BME - Building Materials Europe is looking for a Senior Data Engineer to join our Group Digital Team. In this role, you'll build and optimize data platforms using Azure technologies and tools. The position's key responsibilities include developing data lakes, designing ETL pipelines, and collaborating with IT teams and stakeholders to deliver innovative data solutions.

CipherTek Recruitment is looking for a Machine Learning Operations Lead who will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions specifically for the investment banking sector. As a core responsibility, you will lead the development of AI/ML CI/CD pipelines and frameworks on Azure Databricks while implementing best practices for DataOps and ModelOps to standardize the AI/ML life cycle. The role demands at least 2 years in MLOps and strong skills in Azure along with data engineering to effectively manage large datasets and facilitate collaboration with data scientists and other stakeholders in the bank.

EPAM Systems is looking for a Lead Data Software Engineer to become an integral part of our energetic team. In this position, you will create and enhance powerful data solutions to cater to our broad customer base. You will utilize your skills in Python, PySpark, and Azure technologies to drive our products towards enhanced performance and expanded scalability.

EPAM Systems is looking for a Senior Data Software Engineer to design and develop robust data solutions for our extensive consumer base. Your expertise in Python, PySpark, and Azure technologies will help us drive efficiency and scalability in our products. Responsibilities include building and optimizing data pipelines, maintaining Azure Databricks environments, and collaborating with teams to meet business needs.