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A Senior Data Engineer builds and optimizes large-scale ETL/ELT pipelines on Hadoop and cloud platforms (Databricks/Snowflake) using PySpark, SQL, and orchestration tools to process and enable data-driven products.
Lead Data Engineer designing and building scalable cloud-native data platforms and ETL/ELT pipelines, mentoring engineers, and supporting data governance using Python, Spark, Hadoop, Databricks, Snowflake, and Airflow.
Job Type Full-time Description Take the next step in your professional career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services…
Комус – ведущий производитель и комплексный поставщик товаров и услуг для бизнеса. IT-ландшафт включает в себя собственные ЦОДы, мощности в облаках и 100 бизнес-приложений, 40 из которых – крупные. Сегодня…
Lead multiple engineering teams to design, build, and deploy scalable cloud-native systems while mentoring engineers and shaping technical strategy for a product-focused company.
Come join a dynamic, fast-paced watch center supporting 24x7 operations. In this mission-essential help desk role, you will maintain the customer's computers and networks, ensuring front-end systems continue to…
Designs and implements IaC-driven CI/CD pipelines for cloud deployments, automating infrastructure provisioning and application rollouts across public/private clouds while ensuring scalability, security, and cost efficiency.
Designs and governs a secure AWS data lake and integration architecture for a UK defence programme, ensuring compliance across multiple security classifications.
DV-cleared Data Architect designing AWS data lakes and secure data integrations for a Defence-sector consultancy client, based in London with 2-3 days hybrid.
Məlumat bazası üzrə mühəndis Vakansiya haqqında Şirkət : Azerconnect Group İdarə : Rəqəmsallaşma və Data İdarəsi İş qrafiki : Həftənin 5 günü saat 09:00-dan 18:00-dək. Son müraciət tarixi : 11.09.2026 İKT və yüksək…
Designs, builds, and maintains data pipelines/infrastructure for clients while leading internal data engineering practice improvements, mentoring junior engineers, and optimizing methodologies for a consulting firm serving banks, ASX-listed companies, and government agencies.
Data Engineer designing and building data ingestion pipelines and ETL processes on-site in London for national security clients, using Python, Apache Spark, NiFi, Kafka, AWS, and Palantir Foundry.
The Senior DevSecOps Engineer will build and maintain CI/CD pipelines, automated testing frameworks, and secure infrastructure for complex DoD software systems. This is an on-site role requiring an active TS/SCI clearance and hands-on experience with container orchestration, Python, and secure environment integration.
Lead DevSecOps Engineer responsible for CI/CD pipelines, system integration testing, and test automation for classified DoD software systems, using Kubernetes, Python, GitLab, and AWS/GCP.
Build and maintain scalable data pipelines for computer vision workloads, processing images, videos, and metadata using ETL tools, NiFi, Prefect, and OpenCV.
The Data Engineer will design and implement real-time and batch data processing platforms, focusing on event-driven architectures and data pipelines. The role involves collaborating with DevOps teams to build scalable solutions for clients in the energy, utilities, and manufacturing sectors using technologies like Python, SQL, Kafka, and Spark.
Builds secure data pipelines and ETL systems to process classified data for national security, using Kafka, NiFi, and SQL/NoSQL stacks.
The Senior Software Engineer II will lead the development and optimization of healthcare data pipelines and software modules using T-SQL, PL/SQL, NoSQL, and Azure cloud technologies. The role involves working with large-scale data processing tools like Spark and Hadoop while mentoring team members and improving system performance.
The Data Solution Architect designs and implements enterprise-grade data platforms, pipelines, and AI/ML solutions for federal clients. The role involves architecting cloud-based data lakehouses and supporting data science teams using technologies like AWS, Spark, Python, and various SQL/NoSQL databases.
Design, develop, and maintain complex software systems at Mercury Insurance while mentoring junior engineers, using Java/Python/GoLang/JS, relational/NoSQL databases, REST/gRPC APIs, Kafka/streaming, Docker/Kubernetes, and DevSecOps practices.
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