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Senior BI Engineer - (Quicksight, Data Modeling and AWS Data Stack)

We are looking for a Senior BI Engineer - Quicksight with strong data modeling experience, and owning and rebuilding the manufacturing reporting layer, ensuring accurate, trusted, and automated operational reporting. The ideal candidate will work closely with operations, software engineering, and data engineering teams to validate business metrics, redesign datasets, and deliver scalable QuickSight dashboards.

Key Responsibilities

Strong data modeling experience, including designing fact and dimension schemas from business requirements and creating intuitive data models for business users.Designing the data model. Identify a sensible, simple model (fact and dimension tables) that would yield those dashboardsAssess existing QuickSight dashboards, Athena/Redshift datasets, and reporting workflows.Analyze and resolve data quality and reporting discrepancies.Validate KPIs and business metrics with operations stakeholders.Rebuild and optimize the reporting layer from source tables through dashboards.Develop and automate WBR/MBR dashboards using Amazon QuickSight.Work with AWS data platforms including Athena, Redshift, S3, Glue, and PySpark.Implement reporting logic for calendars, shifts, utilization, throughput, cycle times, on-time delivery, yield, and backlog metrics.Create self-service datasets, templates, and documentation for business users.Support future analytics, data, and automation initiatives.

Required Skills

10 years of experience in BI, Analytics Engineering, or Data Engineering.Experience owning the reporting layer end-to-end, from source data through dashboards.Strong SQL expertise, including complex joins, window functions, and performance tuning.Hands-on experience with Amazon QuickSight (SPICE, calculated fields, row-level security, dashboards).Strong AWS experience with Athena, Redshift, S3, Glue, and PySpark.Python/PySpark experience for data validation, profiling, and transformation.Experience working with operational, manufacturing, supply chain, logistics, or production data.

Preferred Skills

Manufacturing, MES, ERP, or shop-floor analytics experience.Experience supporting WBR/MBR reporting and KPI frameworks.Knowledge of operational metrics such as utilization, throughput, downtime, cycle time, yield, and on-time delivery.

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Hardware Design Engineer or PCB Engineer

The Role

The team designs advanced phased-array antenna electronics for satellite communication systems, utilizing large, high-density multilayer PCBs with thousands of components, custom silicon devices, and high-speed digital interfaces operating at multi-gigabit data rates. Boards are being fabricated at a pace that exceeds the design team's validation capacity, creating an opportunity for experienced hardware engineers to own board development and laboratory validation activities.

Key Responsibilities

Lead bring-up of newly fabricated boards, including power-on testing, subsystem checkout, debugging, and root-cause analysis.Plan and execute design verification and validation activities, including high-speed digital testing, power characterization, and functional verification, while documenting results to engineering standards.Collaborate closely with design engineers to identify issues and implement improvements in future board revisions.Contribute to schematic capture and PCB layout activities for next-generation hardware designs.Support downstream integration and testing teams by delivering validated hardware and assisting with measurement and debug activities.

What We're Looking For

8+ years of board-level electrical design experience, including schematic capture, complex multilayer PCB design, power distribution, and sequencing.Strong hands-on laboratory skills with expertise in board bring-up, debugging, validation, and use of oscilloscopes, logic analyzers, protocol analyzers, and high-speed test equipment.Experience with high-speed digital interfaces and multi-gigabit serial communications (e.g., PCIe, Ethernet, DDR, JESD204) along with signal integrity and power integrity considerations.Full product lifecycle experience from design and manufacturing through bring-up, validation, and production support.Bachelor's or Master's degree in Electrical Engineering, or equivalent industry experience.

Nice to Have

Experience in satellite, aerospace, or other high-reliability electronic systems.Exposure to phased-array, RF, or radar hardware.Experience working with custom ASICs, SoCs, FPGAs, and embedded hardware platforms.Familiarity with Python-based test automation and laboratory scripting.

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Infrastructure Manager

We are seeking a hands-on Electrical Utility Infrastructure Manager to support large-scale industrial and logistics site development projects across multiple markets. This role will focus on power and utility due diligence, utility coordination, capacity analysis, and real estate-related utility infrastructure reviews to ensure successful site delivery.

Key ResponsibilitiesConduct power and utility due diligence for new development sites, including load letter submissions, service territory research, and substation/feeder capacity assessments.Evaluate utility service feasibility, interconnection requirements, service extensions, and electrical infrastructure constraints.Review utility easements, rights-of-way (ROW), title reports, access agreements, and other property encumbrances that may impact site development.Serve as the primary technical liaison with electric utilities, municipal agencies, surveyors, title companies, legal teams, and engineering stakeholders.Coordinate pre-application meetings, utility site visits, and ongoing utility engagement activities.Track and manage multiple concurrent projects, maintaining schedules, utility engagement logs, due diligence reports, and portfolio trackers.Support infrastructure planning related to distributed energy resources (DER), backup generation, battery energy storage systems (BESS), and temporary power solutions when applicable.Required Qualifications5-7+ years of experience in utility planning, utility design, electrical engineering, power infrastructure, transmission & distribution (T&D), or utility service planning.Strong understanding of load forecasting, load letter submissions, interconnection processes, utility capacity studies, substations, and distribution feeders.Experience analyzing utility service availability and supporting site development or infrastructure expansion projects.Working knowledge of utility easements, rights-of-way, title reports, and real estate development considerations.Ability to manage multiple projects simultaneously in a fast-paced environment.Strong analytical, communication, and stakeholder management skills.

This role is ideal for a utility infrastructure professional who enjoys working at the intersection of power delivery, site development, utility coordination, and real estate due diligence while managing a diverse portfolio of complex infrastructure projects.

GCS is acting as an Employment Business in relation to this vacancy.

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GCS is acting as an Employment Business in relation to this vacancy.

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Job Summary

Seeking a Senior Software Developer to build and productionize a cloud-based Quality Control platform used to inspect robotic storage racks through 3D camera systems. The role focuses on developing AWS IoT data pipelines, backend services, cloud integrations, and testing frameworks to support large-scale robotics deployments across multiple sites.

Key ResponsibilitiesBuild and maintain AWS IoT data pipelines using MQTT, AWS IoT Core, Lambda, and S3.Develop scalable backend services in Python for processing image and video data.Integrate cloud services with internal APIs and downstream systems.Own integration testing and ensure end-to-end system reliability.Review, validate, and enhance AI-generated code.Contribute to CI/CD, DevOps, monitoring, and deployment automation.Support validation, production rollout, and post-deployment stabilization activities.Collaborate with distributed engineering teams to deliver project milestones in a fast-paced environment.Required SkillsStrong Python development experience.Hands-on experience with AWS IoT Core, MQTT, Lambda, and S3.Expertise in device-to-cloud or IoT data pipelines.Experience with serverless architectures and API integrations.Strong understanding of CI/CD, DevOps, and production support.Experience with integration testing and system troubleshooting.Ability to work effectively in a collaborative, agile environment.Comfortable using and reviewing AI-assisted code development tools.Nice to HaveComputer Vision, image/video processing, or machine vision experience.Machine Learning or anomaly detection exposure.NVIDIA Jetson or edge-device familiarity.Experience in IoT, robotics, smart devices, industrial automation, or connected products.

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Controls Engineer

Our client is seeking a Controls Engineer to support the development of next-generation material handling and conveyance control systems. This role involves designing and developing machine control software, integrating industrial hardware, and supporting deployment of large-scale automation solutions.

Key Requirements5+ years of experience in industrial automation, controls engineering, or machine control developmentStrong PLC programming experience using IEC 61131-3 Structured TextExperience with Beckhoff TwinCAT, Allen-Bradley, Siemens, or similar PLC platformsProven experience developing state-machine based control logicHands-on experience integrating motors, drives, sensors, actuators, and industrial networksExperience with EtherCAT, EtherNet/IP, Profinet, or ModbusAbility to read electrical schematics and control drawingsFamiliarity with Linux-based industrial systems and version control tools (Git)Nice to HaveExperience with CODESYS V3Material handling, conveyor, sortation, or warehouse automation experienceIO-Link integration experienceJSON/configuration-driven applicationsHMI/SCADA development and commissioning experienceResponsibilitiesDevelop and maintain machine control softwareDesign reusable control modules and automation solutionsIntegrate and validate hardware in lab and production environmentsTroubleshoot control systems and industrial networksParticipate in requirements gathering, code reviews, testing, and deployment activities

Ideal Candidate: A hands-on Controls Engineer with strong PLC and Structured Text experience, industrial hardware integration expertise, and a passion for building scalable automation systems.

GCS is acting as an Employment Business in relation to this vacancy.

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GCS is acting as an Employment Business in relation to this vacancy.

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IoT Software Engineer - Cloud & EdgePosition Overview

We are seeking a Software Engineer to help develop and support an IoT platform connecting quality control hardware with cloud-based systems. This role will focus on building the software and data infrastructure required to collect information from edge devices, securely transmit it to the cloud, and make that data available for analysis.

The ideal candidate will have strong Python and AWS experience, along with hands-on knowledge of IoT communication protocols and edge computing. Candidates with experience applying machine learning and anomaly detection to real-world device data are highly encouraged to apply.

ResponsibilitiesBuild and maintain software applications that support IoT-enabled quality control equipment.Develop Python-based solutions for NVIDIA Jetson and other edge computing devices.Create and maintain reliable pipelines that move data from physical hardware to cloud environments.Implement device communication and data transfer using MQTT and AWS IoT.Leverage AWS Lambda and Amazon S3 to process, manage, and store IoT data.Monitor system performance and troubleshoot issues across edge devices, networks, and cloud infrastructure.Work with engineering teams to translate hardware-generated data into usable software and analytics solutions.Assist with testing and deployment of new IoT software capabilities.Improve the reliability, scalability, and efficiency of existing data workflows.Explore opportunities to use machine learning and anomaly detection to identify quality issues or unusual patterns in collected data.Required Skills & ExperienceProfessional experience developing applications with Python.Experience with AWS cloud services, particularly AWS IoT, Lambda, and S3.Working knowledge of MQTT and IoT communication.Experience developing or deploying applications on edge computing devices, ideally NVIDIA Jetson.Experience building hardware-to-cloud data pipelines or ingestion workflows.Strong understanding of software development, debugging, and system integration.Ability to work effectively across software, hardware, and cloud environments.Preferred ExperienceMachine learning or data science experience.Experience with anomaly detection models.Background working with IoT, manufacturing, industrial automation, or quality-control technologies.Experience deploying ML models or applications directly to edge devices.Familiarity with real-time data processing and analytics.

GCS is acting as an Employment Business in relation to this vacancy.

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GCS is acting as an Employment Business in relation to this vacancy.

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GCS is acting as an Employment Business in relation to this vacancy.

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