Hiring Alert!Job Title: Senior BI Engineer - (QuickSight, AWS, PySpark)Job DescriptionWe are looking for a Senior BI Engineer... Read more
Hiring Alert!
Job Title: Senior BI Engineer - (QuickSight, AWS, PySpark)
Job Description
We are looking for a Senior BI Engineer to own and rebuild 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
Assess 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
5+ 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 Amazon-style WBR/MBR reporting and KPI frameworks.Knowledge of operational metrics such as utilization, throughput, downtime, cycle time, yield, and on-time delivery.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessRedmond, Washington, United States of AmericaContractRemote
Hiring Alert!Job Title: Senior BI EngineerJob DescriptionWe are looking for a Senior BI Engineer to own and rebuild... Read more
Hiring Alert!
Job Title: Senior BI Engineer
Job Description
We are looking for a Senior BI Engineer to own and rebuild 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
Assess 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
5+ 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 Amazon-style WBR/MBR reporting and KPI frameworks.Knowledge of operational metrics such as utilization, throughput, downtime, cycle time, yield, and on-time delivery.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessBellevue, Washington, United States of AmericaContract
Hiring Alert!Job Title: Senior BI Engineer (QuickSight, AWS, PySpark)Job DescriptionWe are looking for a Senior BI Engineer to... Read more
Hiring Alert!
Job Title: Senior BI Engineer (QuickSight, AWS, PySpark)
Job Description
We are looking for a Senior BI Engineer to own and rebuild 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
Assess 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
5+ 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 Amazon-style WBR/MBR reporting and KPI frameworks.Knowledge of operational metrics such as utilization, throughput, downtime, cycle time, yield, and on-time delivery.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessSeattle, Washington, United States of AmericaContractRemote
Senior BI Platform Engineer - Power BI / Looker / Snowflake We are looking for a Senior BI... Read more
Senior BI Platform Engineer - Power BI / Looker / Snowflake
We are looking for a Senior BI Platform Engineer to help support an enterprise Business Intelligence environment and a major data and reporting modernization initiative.
The team is evolving its data platform toward Snowflake and implementing modern reporting capabilities. We're looking for someone who understands how BI platforms operate within a business and can help answer the important technical questions: What needs to change? What isn't working? How should the reporting platform connect to the data? And how do we successfully implement and deploy it?
ResponsibilitiesProvide technical expertise across enterprise Business Intelligence and reporting platforms
Implement, integrate, and deploy BI solutions in a production business environment
Work with Power BI and other enterprise BI technologies
Support Looker as part of the organization's evolving reporting environment
Troubleshoot complex reporting, data, query, and integration issues
Use SQL to investigate data issues and validate reporting results
Support data platform modernization and migration to Snowflake
Work with AWS and cloud-based data environments
Evaluate existing reporting processes and recommend technical improvements
Partner with business stakeholders to understand requirements and translate them into technical solutions
Support BI platform testing, validation, releases, and production deployments
Help establish best practices around reporting, data modeling, query performance, and platform usage
Document solutions, processes, and technical standards
Collaborate with engineers, developers, data teams, and business partners
Provide knowledge transfer and support to internal teams
Required ExperienceStrong hands-on Power BI experience
Strong SQL skills
Experience implementing and deploying enterprise BI solutions
Experience integrating BI/reporting platforms with data sources
Experience with Snowflake
Experience with AWS
Strong understanding of data modeling, reporting, and analytics environments
Experience troubleshooting BI platform and data issues
Experience working with business stakeholders
Strong communication and problem-solving skills
Preferred ExperienceLooker administration or implementation
IBM Cognos / Cognos Analytics
Git/GitHub
BI platform migration or modernization
Enterprise data warehouse environments
Cloud migration
Data governance and reporting standards
The Ideal CandidateWe're looking for someone who is more than a dashboard developer. You should be comfortable getting into the data, understanding how the BI platform is connected, identifying problems, recommending changes, and then helping integrate, implement, test, and deploy the solution.
If you have experience supporting enterprise BI platforms and enjoy working between business stakeholders, data, and technology, this could be a strong fit.
GCS is acting as an Employment Business in relation to this vacancy.
Read lessWilmington, Delaware, United States of AmericaContract
Role Title: Senior Site Reliability Engineer Location: Knutsford or Glasgow - Hybrid (2 days per week onsite) Role... Read more
Role Title: Senior Site Reliability Engineer
Location: Knutsford or Glasgow - Hybrid (2 days per week onsite)
Role Category: Permanent
Overview:
We're recruiting for an experienced Senior Site Reliability Engineer to drive reliability, scalability and performance across critical banking systems. This role combines hands-on SRE engineering with technical leadership, with a strong focus on observability, automation, continuous improvement and optimisation.
Responsibilities:
* Build and maintain reliable, scalable and secure infrastructure platforms and solutions.
* Apply SRE and software engineering practices to improve reliability, availability and performance.
* Monitor systems, manage incidents and lead complex troubleshooting and root cause analysis.
* Develop automation using programming and scripting to reduce manual intervention and improve efficiency.
* Develop and improve observability, monitoring, instrumentation and performance capabilities.
* Use data and reliability metrics to drive continuous improvement and optimisation.
* Lead technical discussions, blameless retrospectives and problem-solving activities.
* Work with architects, engineers and stakeholders to define requirements and deliver effective solutions.
* Provide technical leadership, mentoring and guidance while helping to drive SRE maturity across teams.
Required Skills:
* 5+ years' experience in SRE, Production Engineering, Platform Engineering or a related discipline.
* Strong practical experience with SRE principles and production environments.
* Strong programming/scripting skills, such as Python, Go, Java, C# or Bash.
* Proven experience in incident management, troubleshooting and root cause analysis.
* Strong observability and monitoring experience.
* Experience with AWS, Azure or GCP.
* Good understanding of operating systems, networking, cloud infrastructure and automation.
* Experience with Infrastructure-as-Code.
* Strong communication and technical leadership skills.
Desirable Skills:
* SLOs, SLIs, SLAs and error budgets.
* Prometheus, Grafana, Elastic/ELK or OpenTelemetry.
* Kubernetes, containers and distributed systems.
* Performance and resilience engineering.
* Experience driving SRE maturity across engineering teams.
* Financial services or banking experience.
This is an excellent opportunity for a Senior SRE to combine hands-on engineering with technical leadership and help improve reliability, observability and performance across critical banking systems.
GCS is acting as an Employment Agency in relation to this vacancy.
Read lessKnutsford, England, United KingdomPermanent
About the RoleClient is seeking a highly skilled Senior / Lead Site Reliability Engineer (SRE) to drive reliability,... Read more
About the Role
Client is seeking a highly skilled Senior / Lead Site Reliability Engineer (SRE) to drive reliability, observability, and production excellence across critical business platforms. This role combines hands-on engineering expertise with leadership and governance responsibilities, ensuring services remain scalable, resilient, and aligned with business objectives.
As a key member of the technology team, you will champion SRE best practices, improve operational efficiency through automation, enhance observability, and lead the organization's approach to service reliability and incident management.
Key Responsibilities
Reliability Engineering & Production Excellence
Define, implement, and manage Service Level Objectives (SLOs), Service Level Indicators (SLIs), and Error Budgets.Drive data-led decisions balancing feature delivery with reliability goals.Establish and enforce production readiness and operational excellence standards.Observability & Monitoring
Design and implement end-to-end observability across applications and infrastructure.Leverage tools such as Datadog, Azure Monitor, OpenTelemetry, and related platforms.Translate monitoring and telemetry data into actionable insights that improve system performance and reliability.Incident Management & Continuous Improvement
Lead the response to major incidents and critical outages.Facilitate post-incident reviews and ensure remediation actions are completed.Implement structured processes to reduce MTTR (Mean Time to Resolution) and improve service recovery.Automation & Toil Reduction
Develop automation solutions, operational tooling, and runbooks.Build self-healing and auto-remediation capabilities.Integrate automation into monitoring and alerting workflows.Governance & Standards
Define and promote reliability engineering standards across internal and vendor teams.Assess production risks and make release readiness recommendations.Ensure consistency in operational practices across multiple teams and stakeholders.FinOps & Cloud Optimization
Collaborate with engineering and FinOps teams to balance reliability, performance, and cost.Monitor and optimize cloud resource utilization while maintaining service quality.Leadership & Stakeholder Engagement
Act as an SRE champion across the organization.Mentor engineers and influence teams to adopt reliability best practices.Present reliability metrics, risks, and strategic recommendations to senior stakeholders.Required Skills & Experience
Extensive experience in Site Reliability Engineering (SRE) or a similar reliability-focused role.Strong understanding of SLOs, SLIs, Error Budgets, and Production Readiness practices.Hands-on experience with Azure, AWS, or other cloud platforms.Proven expertise in:Observability and monitoring solutionsIncident management and service restorationAutomation, scripting, and operational toolingReliability engineering practicesExperience with tools such as Datadog, Azure Monitor, OpenTelemetry, or comparable platforms.Strong understanding of DevOps, SRE, and traditional Operations models.Excellent stakeholder management and communication skills.GCS is acting as an Employment Agency in relation to this vacancy.
Read lessRepublic of IrelandFull Time
Hybrid Dublin | Enterprise Cloud PlatformsWe're hiring experienced Site Reliability Engineers to support the evolution of large-scale cloud... Read more
We're hiring experienced Site Reliability Engineers to support the evolution of large-scale cloud platforms used globally across critical production environments.
Unlike traditional SRE opportunities focused heavily on Kubernetes, this role places greater emphasis on cloud infrastructure, systems engineering and platform reliability.
ResponsibilitiesEngineer highly available cloud infrastructure platformsImprove reliability, resilience and operational excellenceDrive automation across provisioning, deployment and operational workflowsDevelop tools and services using Python and modern scripting technologiesSupport multi-region production environmentsParticipate in incident analysis and root cause investigationsReduce operational overhead through automation and engineering improvementsRequired ExperienceStrong cloud infrastructure experience across AWS, Azure or GCPExperience operating customer-facing or business-critical platformsProven automation expertiseStrong Linux and systems engineering knowledgeExperience writing production-quality Python codeUnderstanding of infrastructure scalability and performanceDesirable ExperienceContainer platforms and KubernetesInfrastructure as CodeGo or RustPlatform Engineering methodologiesAI-assisted engineering workflowsYou'll Stand Out If You HaveWorked in high-growth technology businessesSupported platforms serving thousands or millions of usersOperated services across multiple global regionsDesigned solutions rather than simply supporting them
GCS is acting as an Employment Business in relation to this vacancy.
Read lessRepublic of IrelandFixed Term Contract
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