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Build data pipelines and connectors for regulatory compliance and reporting at a global payments firm. Uses SQL, Python, cloud data warehouses, and APIs to support risk teams.
Lead Data Scientist developing and refining data processing pipelines and analytical methodologies using Python and PySpark on large datasets at a consumer intelligence company.
Builds and maintains a governed data warehouse and reporting infrastructure for a professional services firm, integrating systems like XPM, SharePoint, and MYOB to create dashboards, automate workflows, and support AI-driven insights.
Full Stack/Data Engineer building high-throughput cloud data ingestion pipelines and API layers, designing scalable real-time systems for telemetry data. Core technologies include cloud platforms (AWS, Azure, GCP), real-time streaming, API development (REST/gRPC), and languages like Python/Java/Scala.
MS Fabric Architect responsible for strategic solution architecting, data architecture design, and migration of enterprise data environments to Microsoft Fabric. Core technologies include MS Fabric, SQL, Python, and PySpark for large-scale data processing and integration.
Designs and governs enterprise data architecture on cloud platforms, building scalable data warehouses, lakes, and pipelines to support analytics and reporting.
A Fabric Solution Architect designs, implements, and governs end-to-end data and analytics solutions using Microsoft Fabric. This role bridges business requirements with technical architecture, ensuring scalable, secure, and high-performing data platforms leveraging Fabric components such as Lakehouse, Data Warehouse, Data Engineering, Data Science, Real-Time Intelligence, and Power BI.
Build and maintain scalable data pipelines and ETL workflows using Python, SQL, and cloud platforms to move and transform large datasets for analytics and reporting.
Design, develop, and maintain data solutions using Oracle Data Integrator (ODI), focusing on ETL/ELT processes, data modeling, and SQL, with Python scripting for API-based data ingestion.
Design and scale enterprise-grade Databricks Lakehouse platforms using Spark, Delta Lake, and cloud ecosystems. Drive architecture strategy and data modernization initiatives.
DevOps Engineer (Azure) Location: Birmingham (Hybrid Working) Contract: 2 Weeks Day Rate: 500 per day Outside IR35 Start: Immediate Overview We are seeking an experienced DevOps Engineer to support a key transformation…
Designs and scales data infrastructure for an AI-powered property management platform, focusing on real-time pipelines, vector databases, and ML workflows while defining the data team’s culture and standards.
Designs and builds scalable data platforms, pipelines, and architectures using Kafka, Pub/Sub, Kubernetes, and other tools; leads PODs, makes architecture decisions, mentors engineers, and deploys GCP resources as code.
Build and maintain cloud-native integration solutions, streaming pipelines, and RESTful APIs on Google Cloud Platform using Java/Spring Boot and Python, connecting enterprise systems like SAP and AS400 in an Agile team based in Sri Lanka.
Build and maintain large-scale ML infrastructure on Kubernetes to process petabytes of AV data, run simulations, and train self-driving models using Python/Go and cloud platforms.
Build and deploy AI/ML models and RAG pipelines to turn Navy maintenance and logistics data into predictive tools that improve fleet readiness in a DoD GovCloud environment.
Builds and optimizes data pipelines for ingestion, transformation, and management at scale, using Python, SQL, and distributed systems like PySpark/Kafka. Focuses on real-world data problems, parallel processing, and performance tuning for a startup’s AI-driven decision intelligence products.
Leads a team managing data engineering operations, production support, and cloud-based data pipelines/warehouses (Snowflake, AWS Glue) while migrating legacy Oracle/MS-SQL/Hive workloads and improving data quality/automation.
Analyzes and optimizes complex cost models, data workflows, and reporting processes for a government agency, using SQL, Power BI, and Azure to automate workflows and improve efficiency.
The Project Manager will oversee end-to-end delivery of enterprise infrastructure, cybersecurity, and application projects within a digital bank. The role involves managing project lifecycles, budgets, and vendor relationships while ensuring compliance with financial governance and MAS technology risk standards.
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