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ALM Services Technology Group develops end–to–end Web and Mobile Solutions. We work closely with customers usually in long term relations. Our mission is to create the best possible environment of work for our people ,…
Job Summary We are seeking an experienced Quantexa Data Engineer to design, develop, and support enterprise-scale data engineering solutions using the Quantexa platform. The ideal candidate will have strong expertise…
Senior Data Engineer at an Adtech company building and scaling a big data identity graph using Python, Spark, cloud platforms (AWS/GCP/Azure), and integrating AI/LLMs.
Design and build scalable IoT data platforms for embedded and industrial systems, implementing batch/streaming pipelines, data contracts, and governance to support smart factories and connected products.
Builds and maintains scalable data pipelines and a cloud-based lakehouse using Python, SQL, and Microsoft Fabric to integrate CRM/ERP data for analytics and reporting.
Senior Data Engineer builds and maintains scalable data pipelines and cloud platforms (Databricks, Snowflake, Azure/AWS) using Python, PySpark, and SQL to support enterprise analytics and reporting in banking and healthcare.
Designs and maintains scalable cloud and on-prem data pipelines, edge apps, and microservices using Spark, Kafka, and OpenShift to deliver real-time analytics and insights for Vodafone’s enterprise data warehouse.
Designs and runs automated tests for Azure-based ETL pipelines, data migrations, and cloud data platforms, ensuring data quality and integrity across enterprise systems.
Designs and governs BigQuery databases for a real estate asset management company, ensuring efficient data storage, access control, and cost optimization while collaborating with data engineers and business teams to build scalable analytics pipelines.
Builds and maintains a cloud-based data platform for quantum computing research, designing pipelines and infrastructure to integrate heterogeneous measurement data from R&D, manufacturing, and analytics teams.
Staff Data Engineer (AWS, Java & Real-Time Data) Lead the design and delivery of a new cloud-based credit risk data domain. Shape data models, streaming solutions and engineering standards from the ground up. Build…
Build and scale the data platform that ingests, processes, and serves telemetry and sensor data from a fleet of humanoid robots, using Spark, Kafka, OpenTelemetry, and cloud tools.
Builds and optimizes the core components of Daft, a distributed data engine for multimodal AI workloads, focusing on query planning, execution, distributed scheduling, and storage integrations (e.g., Parquet, Iceberg). Works with a small team to design and implement systems for high-performance data processing at scale.
Build and maintain AWS-based data pipelines, ETL/ELT processes, and Redshift models to transform raw data into business insights using Python, PySpark, SQL, and related tools.
Build and own data pipelines and architecture for a climate-tech platform, writing production code in TypeScript/React while integrating diverse environmental datasets and APIs.
Build and maintain cloud-based data pipelines and APIs in Python and AWS, enabling reliable data access and integration for teams.
Build and maintain scalable storage infrastructure for an AI-driven cybersecurity platform, focusing on backup, observability, and agent-forward operations across Aurora, ClickHouse, and Kafka.
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in…
Location: Wokingham - Office based (hybrid working with 3+ days per week onsite may be considered) Start Day: ASAP Contract Rate: 460 per day inside IR35 Duration: 6 months initially Role Overview Our client is seeking…
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