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EPAM Systems is looking for a Lead DataOps Engineer to join our project for a German technology group. In this role, you will be instrumental in developing a highly scalable analytics data platform based on Azure Cloud capabilities. You will design, develop and support Terraform code for Infrastructure as Code in Azure, as well as collaborate with Development Tech leads. Key requirements include 5 years of experience in Infrastructure as Code focused on Azure capabilities and fluent English proficiency.

Infosys is looking for a Data Engineer - Databricks/Apache Spark to design, develop, and maintain scalable data pipelines on Databricks using PySpark, collaborate with data analysts and scientists to understand data requirements, and optimize existing data pipelines. Candidates should have 3+ years of experience in data engineering, strong SQL skills, and proficiency with Databricks and Apache Spark.

Infosys is looking for an Azure and Databricks Data Engineer. In this role, you will enable digital transformation for our clients in a global delivery model. You will be responsible for interfacing with key stakeholders and applying your technical proficiency across different stages of the Software Development Life Cycle. A good level of Polish language is obligatory, along with at least 4 years of Information Technology experience in end-to-end implementation of projects, and proficiency in technologies such as Azure, Databricks, and Python.

EcoVadis is looking for a Mid-Level Machine Learning Engineer to join its growing AI Center of Excellence. This role involves leveraging data to solve business challenges, designing ML pipelines, and collaborating with scientists and engineers to implement ML solutions and ensure scalability and speed.

EPAM Systems is looking for a GenAI Technology Consultant/Architect who is passionate about GenAI and Data to assist clients in making critical technology and architectural decisions. In this role, you will head the account's Data, AI, and GenAI architecture and engineering capability, manage architecture engagements, and create and present technical architecture documents. You will be part of a global team and will have the opportunity to participate in seminars and mentoring programs.

Deichmann SE is looking for a Team Lead Data Engineering (m/w/d) to lead and develop a team of Data Engineers. You will be a technical mentor and manager for your team, fostering specialization and deepening knowledge to take a leading role in Data Engineering. Responsible for all services related to our data products, you will ensure their reliability and scalability through our Data Mesh. This role involves leading product teams in implementing our data and analytics strategy by designing, implementing, and overseeing new data products throughout their lifecycle. Utilize agile methods to create an environment of continuous learning, integrity, and mutual responsibility. Additionally, you will establish a professional development environment alongside the platform team to optimize the performance, scalability, and cost transparency of our data products.

Eneco is looking for a Data Scientist to create data-driven innovations, services, and products. You will work in an integrated energy company analyzing data to advise on sustainable investments and improve efficiencies in operations. Candidates must possess an MSc in a STEM field and have 4 years of relevant experience, with strong skills in Python, SQL, and knowledge of data science techniques.

EPAM Systems is looking for a Lead Machine Learning Engineer who will be instrumental in building a robust and efficient pipeline. The role involves deploying to the Kubernetes cluster, designing the generation pipeline for seamless model execution, and leading projects in data science. Candidates should have experience in machine learning engineering with a focus on classification metrics, strong Python programming skills, and familiarity with containerization technologies.

EPAM Systems is looking for a Chief Machine Learning Engineer. In this role, you will design a scalable production-grade generation pipeline, addressing specific business problems with machine learning solutions. You must have over 7 years of experience in machine learning engineering, particularly focused on classification metrics and a strong background in Python programming with frameworks like PyTorch.

EPAM Systems is looking for a Senior DataOps Engineer with expertise in Azure Synapse to join our innovative team in Poland. The successful candidate will focus on designing, automating, and optimizing data pipelines, ensuring seamless data integration while upholding best practices in DataOps to enhance data reliability and efficiency. Key responsibilities include managing CI/CD pipelines, collaborating with technical teams, and ensuring compliance with security standards.