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Designs and builds a greenfield enterprise data warehouse on Google BigQuery, consolidating fragmented systems (ERP, CRM, e-commerce, EDI, etc.) into a governed, decision-ready foundation for MRCOOL’s HVAC business. Focuses on ELT pipelines, data governance, AI enablement, and executive reporting.
As a Senior Data Engineer, you will design, develop, and optimize ETL/ELT pipelines and data architectures for diverse international clients using Python, SQL, Snowflake, dbt, and orchestration tools like Airflow or Dagster. You will work within a remote-friendly, autonomous team environment focused on delivering high-quality data solutions across cloud platforms.
The Lead Data Engineer will guide a team in migrating legacy Python/Spark ETL pipelines to dbt Core models on Databricks. This role involves hands-on technical leadership, designing scalable data models, and establishing CI/CD workflows for a large-scale platform modernization initiative.
Enterprise Solution Engineer managing the technical presales cycle—delivering demos, prototypes, and RFP responses—using cloud data warehouses (Snowflake, Redshift, BigQuery) and ETL tools to support sales of Sigma's cloud-native BI platform.
About Us At Blue Margin, we’re on a mission to build the go-to data platform for PE-backed mid-market companies. We provide hosted data platforms that help executives and operators turn data into a strategic advantage.…
The Principal Data Engineer will lead the Data Enabling team at UCL, designing and implementing data flows and integrations to support analytics and business intelligence. The role involves working in an agile environment with cloud and on-premise technologies to modernize the university's data infrastructure.
The Data Engineering Lead will act as a technical authority for client engagements, balancing hands-on data pipeline development with commercial leadership and practice building. The role requires deep expertise in modern data stacks, AI engineering, and the ability to guide clients through complex data architecture and strategy.
Note for Recruitment Agencies: We prefer to hire directly and we will be in touch with our PSL Agencies if this role is eligible for release. We do not accept speculative CVs from agencies. If speculative CVs are sent,…
The Analytics Engineer will build and maintain data pipelines, transformation logic, and visualization products to support Tes's EdTech solutions. The role involves collaborating with stakeholders to translate business needs into scalable data models and actionable insights.
The Data Engineering Manager leads a team in building and maintaining data pipelines and platforms to support financial reporting, reconciliation, and accounting workflows. This role involves hands-on technical leadership and cross-functional collaboration to ensure reliable, scalable, and auditable data infrastructure.
A BOUT TIDE At Tide, we help SMEs save time and money in the running of their businesses by not only offering business accounts and related banking services, but also a comprehensive set of highly usable and connected…
Leads the architecture of an AI agent platform for a fintech company, defining shared services like context APIs, tool layers, and safety controls while optimizing LLM costs and ensuring reliability.
Leads the architecture of an AI agent platform for a fintech company, defining shared services like context APIs, tool layers, and safety controls while partnering with engineering and product teams.
Designs and builds scalable backend systems and AI integration frameworks for a fintech platform serving SMEs, using Java, Spring Boot, and AWS technologies.
Builds and scales the backend systems that power Tide’s AI-driven financial services, integrating APIs, workflows, and tools to support secure, reliable agentic platforms for SMEs.
Designs and builds scalable backend systems and AI integration frameworks for a fintech platform serving SMEs, using Java, Spring Boot, and AWS services.
Designs and optimizes Databricks Lakehouse architectures, builds scalable data pipelines (PySpark, streaming), and collaborates with AI/ML teams to deploy models while ensuring governance, security, and cost efficiency.
Design and build high-performance Snowflake-based data platforms, optimize costs, and implement governance for enterprise clients.
Bridges big data environments and media strategy at an ad agency by managing SQL data transformations, building client dashboards (Looker Studio, Tableau, Power BI), overseeing tag/pixel implementation (GTM, Adobe Launch), and supporting MMM and AI projects.
The Data Engineer will design and maintain a cloud-based data lakehouse on Azure to support clinical analytics and AI initiatives. The role involves building batch and real-time data pipelines, migrating healthcare data from legacy systems, and ensuring data integrity and compliance.
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