Top Data Engineer Jobs in Romania

Develop ETL flows using IBM Infosphere Datastage based on business requirements. Analyze data and build physical models for data pipelines. Utilize Oracle Exadata for data management and deploy using GIT and Azure DevOps. Monitor applications in Data Lake and participate in Agile Scrum ceremonies.

As a Chapter Lead in Data Engineering, you'll manage and mentor a team of data engineers while participating in recruitment and performance evaluations. You'll also play a key role in providing scalable data solutions using advanced technologies, collaborating with data analysts and scientists. The role involves balancing technical contributions while leading a talented team to foster continuous development and achieve results.

As a DevOps Engineer at ING Hubs Romania, you'll manage the infrastructure supporting application development and deployment. Responsibilities include optimizing workflows, integrating new technologies, conducting performance checks, and automating processes. You'll work with tools like AzureDevops, Ansible, and various monitoring systems.

The role involves performing data analysis to capture data requirements, creating data models, and designing optimal data structures within a fast-paced environment. Proficiency in Oracle and PostgreSQL is necessary, along with experience in data science and warehousing projects, and knowledge of ETL/ELT processes.

As a Senior Data Engineer at Thoughtworks, you will develop and maintain data architecture and applications, build data pipelines, collaborate with data scientists, ensure data quality and security, and govern distributed systems to meet business objectives.

The Senior Data Support Engineer role involves developing data engineering solutions, including data manipulation, modeling, and transformation using various tools and technologies. Responsibilities include supporting QA processes and user acceptance testing, as well as collaborating with teams to deliver complex data projects.

As a Senior Data Engineer, you will develop and manage data architecture and processing pipelines, collaborate with data scientists, ensure data quality, and engage in stakeholder management while applying data security and privacy strategies.

Lead Data Engineers at Thoughtworks design and manage data engineering projects, develop data architecture, and implement data solutions. They build and oversee data pipelines, ensure data quality, and collaborate with stakeholders and data scientists to leverage data effectively.

As a Big Data Engineer, you will develop and maintain data pipelines and the data ecosystem, ensuring fault tolerance and reliable reporting. You'll collaborate with your team to write high-quality code and implement best practices, while focusing on the needs of customers and promoting agility.

Develop and implement machine learning models, conduct data analysis projects to derive insights, and collaborate with engineers to ensure data quality. Present findings using visualization tools and stay current with AI/ML advancements.

As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.

The Senior Data Engineer will collaborate with data scientists and analysts to design and maintain effective data pipelines, utilizing cloud services and technologies like Azure Data Factory and Databricks. Responsibilities include ensuring data quality, improving scalability and efficiency of pipelines, and resolving data-related issues.

The Senior Data Engineer will work with data scientists and analysts to develop data pipelines, design and maintain data solutions using Azure and various data processing technologies, ensure data quality, and improve the effectiveness of data infrastructures.

As a Senior Data Engineer, you will enhance the online car market user experience by building and maintaining data pipelines, simplifying tools, and driving improvements while collaborating with a team of Senior Engineers and managers.

The Senior Data Ops Engineer will maintain data and database platforms, ensuring high data availability and performance. Responsibilities include managing data pipelines, collaborating with engineers, automating infrastructure with Terraform, and integrating Docker in CI/CD processes.

As a Senior Data Engineer, you will leverage your expertise in Google Cloud and associated technologies to help clients modernize their data processes. You will engage in building ELT and ETL pipelines, working with various databases, and offering strategic guidance within customer teams.

As a Lead Data Engineer, you will shape the future of online car markets, leading complex data projects, organizing teams, and designing new data solutions while working closely with engineers and management in a collaborative environment.