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Technical Product Manager - AI
Senior Technical Product Manager translating ML research and cloud engineering into a production roadmap for a wildfire prevention startup, working with large-scale data pipelines, machine learning systems, and cloud-native architectures.
Junior Data Engineer
The Junior Data Engineer will design and maintain ETL pipelines to process environmental data using Python, PySpark, and AWS. This role involves collaborating with senior engineers to support sustainability initiatives through data-driven insights.
Senior Machine Learning Engineer
Build and deploy AI systems for public safety, including computer vision, speech recognition, NLP, and generative AI, across cloud and edge devices.
Data Analytics Engineer
Designs and implements customer data solutions for personalized experiences, ensuring privacy and quality, using cloud platforms (AWS/GCP/Azure), SQL, Python, and data integration tools like Kafka, Airflow, or dbt.
Full Stack Automation Developer
Replace Alteryx workflows with modular Python/dbt/SQL automation, build Snowflake data pipelines, and own production systems at a data consultancy—eventually transitioning into client-facing consulting work.
Senior Data Engineer & Analytics Lead - Pipelines
Design and maintain data pipelines, analyze data, and create visualizations to support decision-making for a luxury hotel network.
Senior Data Engineer: Hybrid Cloud Pipelines
Design, build, and maintain hybrid cloud data pipelines using Python/Go/Azure Data Factory, handling streaming/batch data across on-prem and Azure environments with secure practices.
Fintech Data Engineer - Azure SQL & ML Pipelines, Flexible
Senior data engineer designing scalable SQL databases and Azure cloud solutions, building pipelines for analytics and ML workloads.
Data Engineer – Hybrid – Inside IR35 – SC Cleared
Design, build, and maintain secure data pipelines and ETL/ELT processes using SQL, Python, and cloud technologies within an Agile environment.
Data Engineer
Build and modernise a cloud-first data platform using Databricks, Azure, and GCP, refactoring legacy pipelines and mentoring engineers.
Data Engineer — Hybrid Cloud Pipelines & Analytics
Builds and optimizes scalable data pipelines in AWS to support analytics and reporting, ensuring production-grade systems with strong code quality and governance for a cybersecurity training company.
Data Engineer: Scalable Pipelines & Cloud Analytics
Data Engineer building and maintaining scalable data pipelines and infrastructure for analytics and ML systems using Python, SQL, and cloud services.
Central Functions : Data Engineer
Build and maintain scalable ETL/ELT pipelines on a cloud-native data platform using Databricks, Azure Synapse, and Python, delivering data products and self-serve analytics across an education services group.
Senior Data Engineer
Lead the design and implementation of scalable data pipelines and architectures using SQL, Python, and cloud platforms (AWS/Azure/GCP) with big data frameworks like Spark/Hadoop, while mentoring engineers and enforcing best practices.
Data Engineer – Hybrid – Inside IR35
The Data Engineer will design, build, and maintain secure data pipelines and ETL/ELT processes within an Agile team. This role requires SC clearance and proficiency in SQL and Python to support cloud-based data platforms.
Senior Data Engineer
The Senior Data Engineer will build and maintain robust data pipelines and analytics models using Spark, Microsoft Fabric, Databricks, and Azure. This role involves collaborating with business stakeholders to ensure data quality and governance within a fast-growing energy intelligence company.
Data Engineer
The Data Engineer will design and maintain scalable data pipelines and ETL frameworks to support public-sector clients. The role involves working with cloud platforms like AWS, Azure, and Snowflake to ensure data quality, security, and performance for analytics.