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HubSpot Solutions Engineer Data
Implement and support HubSpot CRM solutions for B2B clients, including data strategy, integrations, and training, while driving ethical marketing campaigns.
Data & ML Platform Engineer
Build and maintain scalable data pipelines, ML infrastructure, and MLOps workflows on Google Cloud to power Tekever’s AI-driven surveillance and decision-support systems.
Software Engineer - Data & Sensors
Build and maintain the embedded software and data pipelines for UMI devices that collect sensor data to train humanoid robots, ensuring high-quality, synchronized multi-modal recordings.
Software Engineer (Data Platforms)
Builds and maintains data pipelines, models, and APIs for a grid-planning platform that unifies messy energy datasets and enables AI-assisted grid operations.
Software Engineer (Data Platforms)
Build and maintain data pipelines, models, and APIs for an AI-powered grid-planning platform, handling messy energy datasets and enabling reliable infrastructure decisions.
Security Data and Platform Engineer
Build and maintain scalable security data pipelines for Elastic SIEM, ensuring reliable telemetry across cloud and hybrid environments while collaborating with SOC and platform teams.
Data and Solutions Engineer
Build and optimize cloud-based data pipelines and ETL processes on Azure to support investment analytics, using Python, SQL, and tools like Azure Data Factory and Databricks.
Data and AI Engineer
Build and maintain scalable data pipelines, AI models, and GenAI solutions using Python, SQL, and cloud platforms to support enterprise-scale analytics and automation.
Data QA Engineer — Hybrid (UK) | Data Quality & Automation
Owns data quality checks and test automation for a fintech’s data warehouses, lakes, and ETL pipelines using SQL.
Software Engineer - Data, Lakehouse and AI Data Platform Engineer - Vice President - London
Build and maintain large-scale data pipelines and curated datasets on a modern Lakehouse and AI data platform, using Python, SQL, Spark and Snowflake to support analytics and AI use cases.
AI & Data Governance Engineer - Hybrid (London)
Sets up AI governance frameworks and ensures data quality for financial products in a hybrid London role.
Data & AI Engineer — Hybrid, Scale & Impact
Designs scalable data pipelines and builds AI solutions, including LLMs, to drive data-driven transformations for cybersecurity training.
Snowflake Data Platform Engineer — ELT & Analytics
Designs and optimizes Snowflake data pipelines and data models to power analytics and insights for finance, operations, and customer/loyalty programs like Milano.
Data & Solutions Engineer: Azure ETL & Analytics
Builds and maintains Azure-based ETL pipelines and data quality processes to support investment and analytics teams in a financial-services firm.
Cloud Data Platform Engineer – Analytics & Streaming
Designs and scales cloud-based data platforms for batch and real-time analytics, building pipelines and streaming architectures using AWS/GCP/Azure, Spark, Kafka, and Python.
Head of Data Platform Engineering
Lead a team to build and maintain secure, scalable data pipelines and platforms using ETL/ELT, Snowflake, and cloud tools, ensuring quality, compliance, and cost control for a government-aligned organization.
Senior Data Platform Engineer
Senior Data Platform Engineer builds and optimizes Microsoft Fabric-based data pipelines, warehouses, and DBA systems for a global metals/minerals inspection firm, mentoring peers and modernizing legacy data infrastructure.
Data Governance Engineer - Consultancy
Configure and maintain Informatica IDMC tools (CDGC, CDQ, Cloud Data Profiling) to manage metadata, data lineage, and quality in a regulated environment, integrating with enterprise systems and Azure.
Consultant - Senior Consultant, Palantir Foundry Data Engineer - Tech Consultancy - Defence & Securi
Design and deploy Palantir Foundry data pipelines and Ontology models to turn raw data into trusted, actionable insights for UK Defence & Security clients.
Lead Data Platform Engineer (Contract)
Lead a team building and scaling an enterprise Lakehouse data platform using Microsoft Fabric, Spark, PySpark, and SparkSQL for analytics and AI workloads.