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Senior/Principal Embedded Software Engineer developing embedded C software for off-highway vehicle transmission control systems using V-model processes and functional safety standards.
Develop embedded C/C++ firmware for ARM STM32 devices, integrating USB/Serial/Ethernet and industrial flow tools in Linux/Windows environments.
Build and maintain data pipelines and analytics platforms in Python and SQL on Google Cloud to power data-driven marketing campaigns for global brands.
Head of Data Engineering & Machine Learning Location: London, UK (Hybrid) Seniority Level: Director / Executive Lead Employment Type: Full-time About the Opportunity A fast-scaling, high-growth technology platform…
Lead a small team to build and maintain Numan’s data infrastructure, from ingestion to reporting, ensuring reliable insights for commercial decisions.
Designs and builds scalable data pipelines and infrastructure in Microsoft Fabric, focusing on ingestion, transformation, and CI/CD automation for a global media/agency network.
Builds scalable GCP data pipelines and real-time AI/ML workloads to power sports media platforms and analytics.
Leads data engineering for Toyota’s autonomy team, designing pipelines and mentoring engineers to build ML models for perception, planning, and forecasting across global teams.
Designs, develops, and maintains data architecture and pipelines to transform raw data into processed data, ensuring scalability and reliability for business needs. Core technologies include Big Data tools (Spark, Airflow), SQL/NoSQL databases, and programming languages like Java/Python.
Leads a SaaS data engineering team to design, build, and maintain scalable data platforms and pipelines while mentoring staff and aligning with business goals and net-zero objectives.
Designs, develops, and maintains data architecture and pipelines to transform raw data into processed formats, ensuring scalability, reliability, and performance for business operations. Core technologies include ETL/ELT, Big Data tools (Spark, Airflow), SQL/NoSQL databases, and programming languages like Java/Python.
Design and maintain scalable data pipelines to transform raw data into processed outputs for business needs, ensuring high performance and reliability.
Senior Data Engineer (ML) builds and scales production-grade AI systems from prototypes, leading MLOps, CI/CD, and model monitoring alongside data scientists in a government team.
Leads a cloud-based data platform, designing scalable pipelines and governance while collaborating with architects to enhance the system. Core focus: cloud infrastructure, data engineering, and automation tools.
Leads data pipeline development for fintech clients using Databricks/Snowflake, mentors engineers, and designs data models (Data Vault/Kimball) while integrating AI where applicable.
Leads data engineering for a UK health-tech company, designing pipelines, managing a team of 2 engineers, and ensuring scalable, compliant data infrastructure to power analytics and business decisions across diagnostics, medication, and wellness platforms.
Designs and deploys GenAI solutions for cross-functional teams, building scalable AI pipelines with Databricks Mosaic AI to support Finance, Marketing, IT, and Engineering.
Builds and maintains Databricks-based data pipelines for a fintech firm’s Decision Science team, ensuring high-quality data for business decisions while collaborating with analysts and stakeholders.
Build and maintain data pipelines to process financial transaction data, ensuring accuracy and scalability for analytics and compliance at a global payments company.
Builds and maintains HR-focused data pipelines on Azure Databricks, ensuring scalable, production-ready solutions for employee lifecycle processes with a focus on automation, security, and collaboration with HR and engineering teams.
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