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Overview

We are looking for an experienced Data Engineer to join the Supply/Yield Data Engineering team and support a large-scale data modernization and analytics transformation programme through 2026.

This role will focus on designing, developing, and maintaining data pipelines that bring data into Databricks, support Inventory and Yield analytics initiatives, and enable business-critical reporting within Tableau Cloud. The successful candidate will also contribute to the migration of reporting assets from Looker to Tableau while helping modernize existing legacy data engineering solutions.

Key Responsibilities

Design, develop, and maintain ETL/ELT pipelines to ingest and transform data into Databricks.Build and support scalable data pipelines using AWS, Databricks, and Snowflake.Work closely with business and technical stakeholders to understand requirements and translate them into robust data solutions.Develop core data assets and datasets that support analytics and reporting consumed through Tableau Cloud.Support the Inventory ART programme by delivering Data Engineering solutions and increasing team capacity during migration activities.Enhance and optimize existing legacy data engineering jobs and processes.Contribute to the migration of reporting solutions from Looker to Tableau.Create and maintain technical documentation, specifications, and implementation guides.Perform testing, validation, and quality assurance activities to ensure data accuracy and reliability.Provide post-delivery support, incident resolution, and troubleshooting for production workloads.Implement Infrastructure as Code (IaC) solutions using Terraform.Build and manage CI/CD pipelines using Concourse or GitHub Actions to enable reliable and automated deployments.Help identify and mitigate risks, including reducing Single Points of Failure (SPOF) through documentation, automation, and knowledge sharing.Collaborate with fellow engineers to establish and promote engineering best practices.

Required Skills & Experience

Strong experience in Data Engineering and ETL/ELT development.Hands-on experience with Databricks.Strong SQL skills with experience working on large datasets.Experience building data pipelines within AWS environments.Experience with Snowflake data warehousing.Experience with Spark/PySpark.Hands-on experience with Terraform and Infrastructure as Code (IaC).Knowledge of CI/CD practices and tools such as GitHub Actions, Concourse, Jenkins, or similar.Experience supporting and troubleshooting production data pipelines.Strong understanding of testing, data quality, and operational support processes.Excellent problem-solving and collaboration skills.

Nice to Have

Experience with Tableau or Tableau Cloud.Experience supporting Looker to Tableau migrations.Experience working within Supply Chain, Inventory, Yield, or Manufacturing domains.Data modelling and analytics engineering experience.Experience modernizing legacy data platforms and applications.

Technology Stack

DatabricksAWSSnowflakeSQLSpark / PySparkTerraformGitHub Actions / ConcourseTableau CloudLooker (Migration Support)

Project Highlights

Work on a strategic data modernization programme running through 2026.Build the core data pipelines powering Inventory, Supply, and Yield analytics.Support a major Looker-to-Tableau reporting migration.Develop cloud-native solutions using modern data engineering technologies.Play a key role in improving automation, reliability, scalability, and operational excellence across the data platform.

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

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Machine Learning Engineer I (Remote)

Remote (USA)

About the Role

We are seeking a talented and motivated Machine Learning Engineer I to join our growing team. This is an exciting opportunity for an early-career professional who is passionate about building machine learning solutions that create meaningful user experiences at scale.

The ideal candidate enjoys solving complex problems, writing production-quality code, and collaborating with cross-functional teams to develop and deploy intelligent systems. You will work closely with data scientists, software engineers, and product teams to build and optimize machine learning models that drive business impact.

Key ResponsibilitiesDevelop, train, and deploy machine learning models for personalization, recommendations, and customer-focused applications.Build scalable data pipelines for feature engineering, model training, evaluation, and inference.Collaborate with data scientists and software engineers to transition research and prototypes into production systems.Improve recommendation and ranking models using large-scale behavioral and engagement data.Monitor and evaluate model performance through experimentation, A/B testing, and data-driven analysis.Write clean, maintainable, and efficient Python code following software engineering best practices.Support initiatives that enhance customer engagement and business outcomes through machine learning solutions.Required QualificationsBachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related quantitative field.1-3 years of relevant experience, including internships, research, academic projects, or professional experience.Strong programming skills in Python.Solid understanding of machine learning fundamentals, including:Supervised learningClassification and regressionFeature engineeringModel evaluation and validationExperience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.Experience working with SQL and large datasets.Familiarity with Git and software development best practices.Strong analytical and problem-solving skills.Why Join Us?Work on machine learning products that impact large-scale user experiences.Collaborate with highly skilled engineers, data scientists, and researchers.Gain hands-on experience deploying production-grade machine learning solutions.Grow your expertise in modern ML technologies and scalable systems.Flexible remote work environment with opportunities for learning and career development.

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

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About the Role

We are seeking an experienced Scrum Master / Agile Practitioner to support enterprise Agile delivery teams working on Project ION, a strategic initiative focused on transforming network data platforms and digital infrastructure capabilities.

This role sits within a highly collaborative engineering environment, partnering with Product Owners, Engineering Leaders, Architects, and cross-functional teams to enable successful delivery of complex technology initiatives.

The ideal candidate is not just a Scrum facilitator - we are looking for an Agile leader who can coach teams, improve delivery practices, remove obstacles, influence stakeholders, and drive continuous improvement.

About the Team & Project

The team is responsible for modernising how network data is represented, managed, and leveraged across the organisation.

Key initiatives include:Modernising digital representation of network infrastructureSupporting current HFC (Hybrid Fiber Coaxial) capabilities and future Fiber network evolutionRebuilding platforms using modern data architecture principlesImproving data governance, ownership, transparency, and qualityDeveloping future capabilities such as graph-based network representation and enhanced system integration

This is an opportunity to support a major enterprise technology transformation initiative.

ResponsibilitiesFacilitate Agile ceremonies including:Sprint PlanningDaily Stand-upsSprint ReviewsRetrospectivesBacklog RefinementScrum of ScrumsPI Planning / ART ceremoniesCoach teams on Agile principles, Scrum practices, and continuous improvementPartner with Product Owners on backlog prioritisation, refinement, and delivery planningIdentify and remove blockers impacting deliveryManage risks, dependencies, and delivery challenges across teamsSupport SAFe Agile practices within an enterprise environmentTrack and communicate Agile delivery metrics (velocity, burndown, team performance)Drive improvements in team maturity, collaboration, and delivery effectivenessCollaborate closely with Engineering Managers, RTEs, Product Owners, and stakeholdersRequired Skills & Experience5+ years' experience as a Scrum Master / Agile PractitionerStrong understanding of Agile Scrum and SAFe frameworkExperience supporting enterprise-scale delivery teamsProven ability to coach teams and improve Agile maturityExperience working with engineering, product, and cross-functional teamsStrong stakeholder management and communication skillsExperience managing:DependenciesRisksBlockersDelivery reporting

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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Technical Project Manager II - Security Compliance & Remediation

Team & Role

Join a high-impact Security team responsible for driving compliance, governance, and remediation initiatives across a large-scale technology and streaming environment.

This role will lead remediation efforts stemming from a recent enterprise security audit, partnering closely with Security, Engineering, Privacy, and Compliance teams to ensure findings are addressed, tracked, and delivered on time. This is a hands-on project management role requiring someone who understands security workflows and can confidently engage with technical stakeholders.

Responsibilities

Drive security audit remediation projects from planning through execution.Coordinate across Security, Engineering, Compliance, and Privacy teams.Track risks, dependencies, milestones, and remediation deliverables.Manage security documentation, reporting, and compliance-related activities.Facilitate stakeholder meetings and provide regular project updates.Ensure security findings are resolved within established timelines.

Key Skills & Experience

5+ years of Project Management experience, including security-focused projects.Strong understanding of cybersecurity, compliance, audit, privacy, and risk management processes.Experience managing security remediation, governance, or compliance initiatives.Ability to work closely with engineering and security teams and understand technical security requirements.Strong stakeholder management, communication, and documentation skills.Experience working with auditors, compliance teams, or security controls is highly desirable.

Preferred Background

Telecommunications, media, streaming, or technology environments.Exposure to security operations, compliance, governance, or audit programs.Experience in Agile environments and fast-paced, evolving organizations.

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

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Role Summary

We are seeking a Senior Looker Administrator (Looker SME) with deep expertise in enterprise-scale analytics environments. The ideal candidate will play a key role in stabilizing platform operations, supporting cloud migration initiatives, enabling API-driven AI use cases, and transferring knowledge to internal teams to build sustainable long-term capabilities. This role is critical to mitigating operational risk, delivery challenges, and platform instability during these transformations.

Key Responsibilities

Provide L3/L4 production support for Looker environments (Dev & Prod)Lead and validate platform upgrades, releases, and patchingManage and optimize LookML development lifecycle and GitHub-based workflowsDiagnose and resolve complex performance, query, and modeling issuesImplement automated user provisioning and entitlement managementResolve access issues including azure AD group synchronizationEstablish and document governance frameworks and best practicesSupport and extend Looker APIs, including: Inline Queries, Query ID, Admin APIsAnalyze and optimize performance, concurrency, and usage patternsEnable API-driven AI use cases, including dynamic SQL generationDefine and execute test strategies for migration from customer-hosted to Google-hosted LookerSupport POC execution with minimal business disruptionSupport Teradata to Snowflake migration validation via Looker

Required Qualifications

7+ years of experience in Analytics / BI Engineering4+ years of hands-on Looker experience in enterprise environmentsExpert-level proficiency in:LookML developmentLooker Dev/Prod lifecycle managementGitHub-based CI/CD workflowsStrong experience with Looker APIs (Inline Queries, SDKs, Admin APIs)Proven experience supporting platforms with 1,000+ usersSolid understanding of identity and access management systems (Azure AD preferred)

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

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Job Title: Network Engineer

Company:Telecom

Job Description:

We're seeking a skilled Network Engineer to support the nationwide deployment and maintenance of virtual Cable Modem Termination Systems (vCMTS) and Remote PHY (RPHY) turn-ups. This cutting-edge, cloud-based vCMTS technology replaces traditional analog hardware, enabling faster speeds, improved network performance, ensuring reliable activation of next‑generation access network (NGAN) platforms. As part of the NGAN Operations Team, the engineer will be responsible for vCMTS platform stand‑up, including software installation, system validation, network configuration, and ongoing maintenance. By shifting core CMTS functions to edge compute infrastructure, This role demands deep expertise in production operations within a 24x7 environment.

Responsibilities

Perform software installation, system configuration, and network readiness validation for new vCMTS deployments.Execute standardized processes to activate and validate Remote PHY devices across national footprints.Perform system upgrades, RMA replacements, and automation tasks (Python, Bash, etc.)Participate in on‑call rotation to troubleshoot and restore service during outages.Diagnose and resolve issues involving Juniper, Arista, or Cisco network devices.Build, replace, and troubleshoot server hardware and system software.Develop scripts to streamline operational workflows and reduce manual effort.Work with Product and Project Management teams to integrate and operationalize new NGAN products.Partner with regional engineering teams to enhance product stability and build automation tools.

Experience & Skills

5+ years of hands‑on experience in a 24×7 production operations environment.Strong proficiency in Unix/Linux environments.Experience with scripting and automation (Python, Bash, etc.).Proven ability in network troubleshooting and configuration (CCNA/JNCIA optional but beneficial).Demonstrated skill in server hardware and software troubleshooting.Familiarity with Kubernetes, Jenkins, Ansible, Git is a plus

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

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We are looking for a Python SDET with strong automation expertise to build and scale test frameworks from scratch. The role requires deep understanding of automation architecture, CI/CD integration, cloud-based testing, and end-to-end validation across web, API, and mobile platforms.

Key Responsibilities

Design and develop scalable test automation frameworks from scratchImplement parallel testing (cross-browser and multi-device execution)Build and maintain automated tests for web, APIs, and mobile applicationsDevelop scripts for real device testing in local labs and Sauce Labs environmentsIntegrate automation into CI/CD pipelines using Concourse and GitHub ActionsPerform troubleshooting, debugging, and root cause analysisCollaborate with cross-functional teams to ensure product quality

Required Skills

Strong programming skills in Python and solid testing fundamentalsExperience with Cypress (JavaScript) and/or SeleniumHands-on experience with automation framework design and architectureExpertise in parallel execution strategiesExperience with CI/CD pipeline setup and cloud-based testing toolsStrong knowledge of API testing and automation frameworksExcellent problem-solving and troubleshooting skillsExposure to device testing in lab or cloud environments (e.g., Sauce Labs)

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

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Overview

A skilled QA analyst who has worked as Software Development Engineer in Test (SDET) with strong experience in automation testing, Java and Python scripting, and quality assurance for enterprise applications. Expertise in designing and executing automated and manual test strategies within Agile (Scrum) environments.

Experienced in working on Java-based middleware systems, API testing, and integrating automated test suites into CI/CD pipelines using Jenkins. Adept at leveraging tools like Splunk, Swagger, and TestRail to enhance testing efficiency and software quality. Combines a strong development background with QA practices to deliver scalable, high-performance, and reliable software solutions.

Key Responsibilities

Establish project milestones, track progress, identify risks, and drive mitigation strategies.Design, develop, and execute automated test scripts using Java and Python.Create and maintain test cases, use cases, and test scenarios aligned with business needs.Perform API testing using REST, JSON, and Swagger tools.Work on Java middleware testing, ensuring backend system reliability.Integrate test automation into CI/CD pipelines using Jenkins.Monitor and track QA metrics such as defect counts, test results, and execution status.Analyze testing data to identify process improvements and enhance product quality.Execute functional, regression, and integration testing.Document defects and collaborate with development teams for resolution.Use Splunk for log analysis and troubleshooting.Maintain test case repositories using tools like TestRail.Conduct quality audits to ensure compliance with QA standards and methodologies.Provide quality training and guidance to team members and stakeholders.Collaborate with POs, BAs, developers, and cross-functional teams in Agile environments.

Key Requirements & Qualifications

Bachelor's degree in Computer Science, Information Systems, or equivalent experience.3+ years of QA/testing experience, preferably in Agile/Scrum environments.Strong experience in automated testing (mandatory).Hands-on experience with Java-based QA testing.Proficiency in scripting languages such as Python, JavaScript, VBScript, C#.Experience in API testing (REST, JSON).Familiarity with tools like Jenkins, TestRail, Splunk, Swagger.Experience with automation frameworks and SDET practices.Understanding of media planning/buying systems (preferred).Strong analytical and troubleshooting skills.Ability to manage multiple projects with high attention to quality.Excellent communication and collaboration skills.Ability to adapt quickly to changing priorities in a fast-paced environment.

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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