We are seeking an experienced Senior Data Engineer (Microsoft Fabric) to join our Data & Analytics team and support a large-scale data modernisation programme. This strategic initiative focuses on migrating the organisation's analytics platform from Oracle to Microsoft Fabric.
Responsibilities
Design, develop, and deploy end-to-end data pipelines in Microsoft Fabric.
Leverage Change Data Capture (CDC) and Fabric Mirroring capabilities to enable real-time data replication and unified analytics.
Support the migration of semantic models and analytical workloads from Oracle to Microsoft Fabric.
Build, optimise, and maintain scalable data integration and transformation solutions using PySpark and SQL.
Develop and enhance metadata-driven ingestion and orchestration frameworks.
Requirements
Nice to have: Metadata-driven ingestion and orchestration frameworks
Base Salary Range: $104,000.00 - $156,000.00, offered in good faith and based on experience, location, and qualifications. Additional Rewards: Annual bonus opportunities and potential long-term incentives tied to both company and individual success.
Responsibilities
Design, develop, and maintain enterprise‑level data models to support analytics, reporting, and integration needs.
Build high‑quality dashboards, semantic models, and datasets using Microsoft Power BI.
Leverage Microsoft Fabric capabilities—including Lakehouse, Dataflows Gen2, Pipelines, Semantic Models, and Notebooks—to build scalable modern analytics solutions.
Develop DAX measures, Power Query transformations, and dataflows to create governed, reusable data assets.
Understand and interpret Oracle E‑Business Suite (R12) and Oracle Fusion Cloud ERP data structures, tables, and reporting layers.
Requirements
Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field (or equivalent work experience).
Senior Product Manager for the Extensible Compute team, which builds Snowpark Container Services (SPCS), the compute platform for running customer container workloads and Snowflake's first-party products. The role involves owning the product roadmap, compute instance portfolio across AWS, Azure, and GCP, and managing storage/file system capabilities.
Locations (2)
Menlo Park, California, United States
Bellevue, Washington, United States
Compensation
The estimated base salary range for this role is $200,000 - $287,500. Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
Responsibilities
Own the SPCS product roadmap and ship it.
Manage the compute instance portfolio across AWS, Azure, and GCP (general-purpose CPU, ARM, and GPU).
Turn requests from first-party product partners into platform capabilities.
Take features from early preview to general availability.
Work credibly with senior engineers on architecture, performance, reliability, and cost.
Design, develop, test, and support data pipelines, analytics, and business intelligence solutions using Microsoft Fabric, Power BI, and related Microsoft technologies.
Compensation
This is an in-person role requiring 3 days per week in our Guelph location. This position offers a minimum starting salary of $85,000.00, with potential compensation enhancements based on applicable experience and qualifications.
Responsibilities
Design, build, test, deploy and support data pipelines and transformations using Microsoft Fabric and approved cloud-native patterns.
Develop Fabric lakehouse and warehouse solutions that integrate data from D365, operational applications, external services and existing data platforms.
Create reusable, parameterized and supportable ingestion and transformation processes using SQL, notebooks, Dataflows Gen2 and pipelines.
Ensure solutions meet requirements for performance, scalability, reliability, supportability and security.
Design and maintain enterprise semantic models aligned with approved business definitions, security standards and performance expectations.
Requirements
Bachelor's degree or college diploma in Computer Science, Information Systems, Computer Programming, Data Analytics or a related discipline
Nice to have: Microsoft Certified: Fabric Analytics Engineer Associate
Nice to have: Microsoft Certified: Power BI Data Analyst Associate
The R plays the role of the pilot and other controllers in the Air Traffic Controller training simulator, operating simulated radar and voice communication systems to simulate pilot and ATC actions during training exercises.
Locations (2)
Oklahoma City, Oklahoma, United States
United States
Responsibilities
Operate a combination of a simulated radar display and voice communication system to simulate actions and communication of pilots and remote ATC facilities
Receive voice commands from students
Input proper entries into the automated system to simulate pilot actions
Translate displayed information into appropriate ATC terminology
Respond to the student via the VCS utilizing proper phraseology
Requirements
High school diploma (or equivalent)
Nice to have: Experience working in a multidisciplinary team
Nice to have: Experience and certification in ATC Tower, TRACON or En Route simulation lab
Early-career role focused on hands-on technical work across client delivery, applied R&D, and internal capability-building in data engineering, machine learning, and AI-enabled workflows.
Compensation
anticipated base salary range for this position in San Francisco, CA is $100,000 - $126,000 annually
Responsibilities
Prepare, inspect, clean, reconstruct, and validate data from a wide range of sources including structured datasets, documents, reports, exports, PDFs, and scans
Use Python, SQL, notebooks, version control, and related tools to build reproducible workflows, test assumptions, troubleshoot issues, and document work performed
Identify data limitations, quality issues, assumptions, blockers, and open questions early
Support applied analytics, machine learning, and AI-enabled workflows
Contribute to workflows involving text extraction, classification, summarization, embeddings, retrieval-augmented generation, model evaluation, automation, visualization, or rapid prototyping
Lead a global team spanning graphing, dashboards, data visualization, notebooks, search experiences, and emerging AI-powered interfaces, partnering closely with Product and Design to make complex data intuitive and actionable.
Compensation
The reasonably estimated yearly salary for this role at Datadog is: $296,000—$370,000 USD
Responsibilities
Lead the Graphing and Data Visualization engineering organization, setting technical and organizational direction across graphing, dashboards, notebooks, search, data visualization, and related data exploration experiences
Develop engineering leaders and senior engineers across a large organization, building an environment that supports strong technical execution, collaboration, and continued growth
Partner closely with Product and Design to make complex, high-volume data understandable and actionable for users with different needs and technical backgrounds
Guide the evolution of the systems, frameworks, and interfaces that enable teams across Datadog to build performant, consistent, and high-quality data visualization experiences
Advance AI-powered product experiences by enabling agents and conversational interfaces to reliably create graphs, visualizations, and dynamic data experiences
Requirements
computer science or equivalent technical background
A hands-on DataOps and Data Quality Engineer role focusing on Microsoft Fabric engineering, automated data quality, monitoring, and operational reliability.
Responsibilities
Design and implement automated data quality controls within Microsoft Fabric to ensure reliable and trustworthy reporting data
Translate data quality and governance requirements into executable validation rules, monitoring checks and quality gates
Build automated checks for data enough, completeness, duplicates, schema changes, data volumes, key-field validity and other agreed business rules
Develop centralized monitoring and logging for pipeline runs, source arrival times, row counts, errors and data quality results
Create alerting and operational views to identify missing data, abnormal volume drops, failed loads and broken dependencies before they impact KPI reporting
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