Top Data Engineer Jobs in Bucharest

The role involves providing technical guidance to telecom customers, analyzing network KPIs, resolving system issues, and maintaining customer support.

Design, build, and optimize scalable BigQuery data warehouse solutions and pipelines on GCP. Migrate on-prem systems to cloud, implement data quality checks, and collaborate with product owners and analysts to meet reporting and analytics requirements.

The Senior Lead Data Engineer designs and operates cloud-native data platforms on Azure, leading teams to build data pipelines and support AI workloads.

The role involves driving AI tooling adoption, developing AI agents, embedding in Scrum teams, and optimizing AI's impact on engineering productivity.

Responsible for the infrastructure supporting application deployment, automate processes, enhance performance, and manage databases using tools like AzureDevops and Ansible.

Design and implement scalable data pipelines and platforms on Azure, develop Python APIs, manage infrastructure as code, and collaborate with stakeholders on data-driven projects.

The role involves creating and automating infrastructure features for data platforms using Python, with a focus on distributed systems and collaboration within a global team.

The role involves automating OpenSearch operations by developing features in Python, collaborating with an international team, and providing expertise on data platforms.

As a Software Engineer on the data platform team, you'll automate data platform operations, write Python code, and collaborate on solutions within a distributed team.

Join Zencore as a Senior Data Engineer, leveraging Google Cloud expertise and technology strategies to assist clients with data and application modernization.

Lead and deliver end-to-end data science projects: collect and preprocess data, build and deploy predictive models and recommender systems, apply statistical and machine learning techniques, collaborate with cross-functional teams, present results to stakeholders, and evaluate new tools and methodologies to drive business impact in a cloud-based environment.

Design, build, deploy, and maintain end-to-end data science solutions for corporate banking use cases. Execute the full ML lifecycle from data acquisition and feature engineering to model development, production deployment, evaluation, and stakeholder communication. Collaborate with product, engineering, and business teams and explore emerging ML technologies to drive measurable business impact.

Develop and maintain the KDB data platform, focusing on code quality, automated testing, and understanding KDB architecture, while collaborating with cross-border teams.

Seeking a skilled Data Engineer to design, develop, and deploy ML solutions with expertise in Python, Databricks, Snowflake, and AWS, focusing on supply chain management.

The Senior Data Engineer will design and develop data pipelines, ensure data quality, optimize ETL processes, and oversee the full data lifecycle documentation for a market intelligence platform.

Seeking a Senior Data Support Engineer with 5-6 years of experience in Data Engineering, specifically utilizing Snowflake, Python, SQL, and AWS for data manipulation, warehousing, and testing processes.

As a Data Platform Engineer, you will design and implement scalable data platform infrastructure, build CI/CD pipelines, and collaborate with teams to optimize data architecture.

As a Data Engineer, you will design and build data pipelines and backend services, focusing on ETL processes and workflow orchestration for ML models.

The Staff Data Platform Engineer will architect and engineer a cloud-native data platform on AWS, focusing on ETL/ELT pipelines, automation, monitoring, and data governance while collaborating with various teams and mentoring other engineers.

As a Consultant at Deloitte, you'll design and implement technology solutions for large companies, driving business value through innovative software development.

As a Big Data Engineer, you will design and implement data processing systems, manage technologies like Hadoop and Spark, and build ETL processes to ensure data quality and performance.

The Senior Data Engineer will design and optimize ETL/data pipelines, automate workflows, integrate data sources, and translate business needs into data solutions using Azure tools.

The Senior Data Analytics Engineer will design and maintain analytical pipelines, write SQL for large datasets, utilize AI tools, and communicate insights to stakeholders.

End-to-end delivery of ML-powered services, involving research, prototyping, production, and operations. Collaborate on product requirements while maintaining high quality and operational excellence.

As a Staff Data Engineer, you'll design large-scale data processing systems, build robust data pipelines, and lead data architecture and governance efforts, optimizing performance across the platform.