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Senior Database & Analytics Engineer building trusted, governed, analytics-ready data across the full data lifecycle using SQL, data modelling, and ETL/ELT within an AI, Data & Analytics team.
The Data Engineer will design, build, and maintain scalable data pipelines and analytical models using Microsoft Fabric to support business reporting and decision-making. The role involves collaborating with stakeholders to ensure high-quality, governed data is available for Power BI and advanced analytics.
Designs and maintains data pipelines on Microsoft Fabric for Power BI reporting, ensuring high-quality, governed data for analytics. Works with analysts to enhance data capabilities in a collaborative team environment.
The Senior Data Engineer will build and maintain data ingestion pipelines, lakehouse structures, and CI/CD workflows using AWS and AI-focused technologies. The role involves establishing data engineering standards and implementing data quality and security controls within a hybrid work environment.
Lead the vision, strategy, and engineering of an autonomous Agentic Data Platform across Azure, AWS, GCP, Databricks, and Snowflake for Financial Services clients, including governance, DevSecOps, and AI integration.
Build and maintain Databricks pipelines that ingest and transform high-volume external data into clean, structured inputs for analytics and AI models, primarily supporting stakeholder engagement in the energy and utility sectors.
Job Description Posted Tuesday, July 21, 2026 at 4:00 AM At IBM Consulting FutureNow , we unite human expertise and artificial intelligence to deliver client results with certainty, speed, and value. Fueled by LGS,…
Data Engineer building scalable data pipelines and lakehouse architectures using Microsoft Fabric and Spark to support cancer initiatives at the Canadian Cancer Society.
Lead Snowflake-based data lakehouse and pipeline development for RBC Insurance, designing scalable architectures, optimizing performance, and collaborating with stakeholders to drive data-driven business growth.
Build and maintain a Fabric Lakehouse and Power BI semantic model for sales, stock, returns, and customer data, using Claude Code and MCP to accelerate analytics engineering.
Analytics Engineer building data lakes, dashboards, and live data interfaces on Microsoft Fabric Lakehouse and Power BI for a clothing retailer, using Claude Code and MCP tooling to serve trading, retail, and finance teams.
The Analytics Engineer will build and maintain trusted data models and metrics within a Databricks Lakehouse to support business decision-making. The role involves performing exploratory analysis using SQL and Python and collaborating with stakeholders to transition from ad-hoc reporting to scalable data products.
Develop web app solutions for catastrophe exposure analysis and integrate AI technologies into the data lake at an insurance firm, using Python (FastAPI/Flask/Django), React, TypeScript, and Node.js.
Design and build Databricks data pipelines for marketing analytics, pulling data from Salesforce into a unified lakehouse as part of a greenfield marketing data transformation programme.
The Senior Engineering Manager will lead a team of data engineers and consultants to build and maintain scalable data pipelines and Lakehouse architectures on AWS and Databricks. This role involves managing team performance, driving technical strategy, and ensuring operational excellence for data products across the organization.
The Senior Software Engineer will design and maintain production-grade data pipelines and models within a centralized lakehouse architecture using Databricks, Spark, and Python. The role involves driving technical design, integrating AI tooling into data workflows, and mentoring team members to support financial and product analytics.
The Staff Software Engineer will lead the technical direction and architecture of the company's centralized data lakehouse, focusing on ingestion, transformation, and governance. This role involves hands-on development using Databricks, AWS, and AI-driven engineering tools to support financial analytics and product intelligence.
The Staff Software Engineer will lead the technical direction and architecture of Ripple's centralized lakehouse platform, focusing on ingestion, transformation, and data quality. This hands-on role involves building critical platform components, setting engineering standards, and integrating AI-driven tools into data workflows.
The Senior Engineering Manager will lead a team of data engineers and consultants to build and maintain scalable data pipelines and Lakehouse architectures on AWS and Databricks. This role involves managing team performance, driving technical strategy, and ensuring operational excellence for data products across the company's sports-tech platforms.
Lead a blended team of data engineers and consultants building scalable data pipelines on Databricks and AWS to power BI, analytics, fraud detection, and operational reporting at FanDuel.
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