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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?

Responsibilities

Provide 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 Experience

Strong 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 Experience

Looker 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 Candidate

We'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.

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BI Engineer

We are seeking an experienced Enterprise BI Engineer to help support and modernize a large-scale Business Intelligence environment.

This role will play an important part in the organization's transition toward Snowflake and modernization of its reporting capabilities. The ideal candidate will have strong experience with Power BI, SQL, enterprise BI platforms, and data integration, along with the ability to work directly with business and technical teams.

This is a hands-on role focused on understanding the current environment, identifying what needs to change, solving technical issues, and helping implement and deploy the new reporting solution.

What You'll Do

Support the implementation and modernization of enterprise Business Intelligence solutions

Work with Power BI to develop, integrate, troubleshoot, and deploy reporting capabilities

Analyze existing BI environments and identify changes needed to support business requirements

Investigate and resolve reporting, data, query, and integration issues

Use SQL to validate data, investigate discrepancies, and troubleshoot reporting problems

Support the transition to Snowflake as part of the organization's data platform modernization

Integrate BI and reporting tools with enterprise data sources

Work with AWS cloud environments and services

Partner with business stakeholders to understand reporting requirements and translate them into technical solutions

Support testing, validation, deployment, and production implementation

Help establish consistent reporting, modeling, and query practices

Document technical solutions, processes, and troubleshooting procedures

Collaborate with data engineering, application, and business teams

What We're Looking For

Strong experience with Power BI

Strong SQL skills

Hands-on experience implementing and deploying BI/reporting solutions

Experience integrating BI platforms with enterprise data sources

Experience with Snowflake

Experience with AWS

Understanding of data modeling and reporting architecture

Experience troubleshooting complex BI and data issues

Experience working directly with business stakeholders

Strong analytical and problem-solving skills

Ability to take ownership of issues from investigation through implementation

Nice to Have

Looker experience

Cognos experience

Experience migrating or modernizing enterprise BI platforms

Experience with data warehouse modernization

Experience supporting large-scale enterprise reporting environments

This opportunity is ideal for a BI professional who can bridge the gap between business requirements, data, and technology and help take an enterprise reporting solution from assessment through implementation.

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

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Looker Administrator / BI Platform Engineer

We are looking for a Looker Administrator / BI Platform Engineer to support a large-scale Business Intelligence environment and help modernize its analytics platform. This role will focus on Looker platform engineering, production support, access governance, API enablement, and cloud migration.

What You'll Do

Provide L3/L4 production support for Looker Development and Production environments

Lead and validate Looker upgrades, releases, and patching

Support GitHub and LookML workflows, including coordination between Dev and Prod environments

Troubleshoot complex Looker performance, modeling, and query issues

Implement scripted user provisioning and entitlement management

Troubleshoot Azure AD group synchronization and access/entitlement issues

Establish governance guardrails, standards, and platform documentation

Support Looker APIs, including Inline Queries, Query ID, and Admin APIs

Analyze performance, concurrency, and platform usage patterns

Support API-driven AI use cases, including dynamic SQL generation

Help define and execute testing for migration from customer-hosted to Google-hosted Looker Core

Support cloud migration POCs while minimizing platform risk

Validate Teradata-to-Snowflake query behavior through Looker

Standardize modeling, query behavior, and performance expectations

Develop runbooks, technical documentation, and platform best practices

Mentor internal engineers and support the transition of platform ownership

What We're Looking For

Strong hands-on experience administering Looker

Experience supporting enterprise BI platforms in production

Strong understanding of LookML, Git/GitHub workflows, and BI platform operations

Experience with user access, provisioning, identity, and entitlement management

Familiarity with Azure AD or enterprise identity platforms

Experience working with Looker APIs

Knowledge of SQL, query performance, and data modeling

Experience with cloud-hosted analytics platforms and migration projects

Exposure to Snowflake and/or Teradata

Strong troubleshooting and problem-solving skills

Ability to create technical documentation and mentor other engineers

This is an excellent opportunity for a BI/analytics platform professional who enjoys working across platform operations, data engineering, cloud migration, and enterprise governance.

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

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Position Overview

We are looking for an experienced Looker Administrator / BI Platform Engineer to manage enterprise Looker environments, support production operations, and contribute to cloud migration, platform modernization, and data transformation initiatives.

The ideal candidate has hands-on experience with Looker, LookML, SQL, GitHub, CI/CD, REST APIs, Azure AD/IAM, GCP, and cloud analytics platforms.

ResponsibilitiesAdminister and provide L3/L4 production support for Looker development and production environments.Manage platform upgrades, releases, patches, configurations, and deployments.Monitor platform health, availability, usage, concurrency, and performance.Troubleshoot complex Looker, data modeling, connectivity, SQL, and performance issues.Support LookML development, code reviews, testing, and Dev/Prod deployment workflows.Manage GitHub version control and CI/CD processes.Manage user provisioning, roles, permissions, groups, and entitlements.Support Azure AD/IAM integration and resolve authentication and access issues.Establish and maintain platform governance, security standards, and usage guidelines.Support Looker REST APIs, including administrative and query-related APIs.Enable API-driven reporting, automation, and advanced analytics solutions.Support migration from customer-hosted environments to Google-hosted Looker Core.Develop and execute migration testing, validation, and rollback strategies.Support GCP-based analytics environments and cloud modernization initiatives.Work with Snowflake, Teradata, and modern cloud data platforms.Validate reporting accuracy, semantic models, query behavior, and data consistency.Optimize SQL queries, BI performance, concurrency, and data accessibility.Create runbooks, SOPs, troubleshooting guides, and technical documentation.Conduct knowledge-transfer sessions and mentor internal engineering teams.Support long-term platform ownership and operational process standardization.What You Will LearnEnterprise-scale Looker administration and BI platform engineeringGCP and cloud-hosted Looker environmentsLooker APIs, automation, and advanced analyticsLookML, GitHub, and CI/CD practicesEnterprise IAM, Azure AD, governance, and securityAdvanced SQL and BI performance optimizationSnowflake, Teradata, and modern data platformsCloud migration and data modernizationSemantic modeling and reporting governanceAI-enabled analytics and API-driven reportingEnterprise production support and platform operations

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

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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.

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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.

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Azure Site Reliability Engineer (SRE)

Location: Glasgow / Knutsford (Hybrid- 2 days a week in office)

Team: 6 UK / 5 India

Environment: Part of a wider multi‑cloud engineering organisation (Azure, AWS, GCP)

Growth: Significant technical development opportunities across cloud engineering, automation, and platform build

Role Overview

We are looking for a hands‑on Azure SRE who can design, build, and automate enterprise‑grade Azure Landing Zones and cloud governance frameworks. This is not an application development role - it is a platform engineering role focused on controls, policies, guardrails, IaC, and DevOps automation.

You will work as part of a global SRE function, collaborating with engineers in the UK and India to deliver secure, scalable, policy‑driven Azure environments.

Key Responsibilities

Azure Landing Zone engineering - build, enhance, and automate enterprise landing zones

Azure governance & controls - develop Azure Policies, RBAC, blueprints, and compliance guardrails

Infrastructure as Code delivery - author and maintain IaC using Bicep or Terraform

DevOps engineering - implement CI/CD pipelines, Git workflows, and automated deployments

Cloud platform reliability - ensure availability, performance, and operational excellence

Cross‑team collaboration - work with multi‑cloud engineering teams to drive standards and best practices

Required Skills & Experience

Azure expertise across policies, governance, networking, compute, identity, and platform services

IaC development using Bicep or Terraform (must be able to write code, not just run templates)

CI/CD pipelines using Azure DevOps or GitHub Actions

Git repositories - strong understanding of branching, PRs, code reviews

DevOps mindset - automation‑first, iterative delivery, shift‑left engineering

Strong scripting or development capability (PowerShell, Python, or similar)

Experience working in distributed teams (UK + offshore)

GCS is acting as an Employment Agency 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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Site Reliability Engineer (SRE) - Level 3Job Summary

We are seeking a Site Reliability Engineer (SRE) to build, maintain, and support reliable, scalable, and secure cloud platforms. The ideal candidate will have experience with cloud infrastructure, Kubernetes, automation, monitoring, and production support while working closely with engineering teams to improve platform reliability and operational excellence.

Key ResponsibilitiesManage and support cloud infrastructure and Kubernetes environments.Automate infrastructure using Infrastructure as Code (IaC).Monitor, troubleshoot, and optimize production systems.Support CI/CD pipelines and deployment automation.Participate in incident response, root cause analysis, and reliability improvements.Collaborate with engineering teams on platform enhancements.Develop automation using scripting and DevOps best practices.Participate in production support and on-call rotations.Required SkillsExperience with AWS, Azure, or GCP.Kubernetes and Docker.Terraform or similar IaC tools.Monitoring tools such as Prometheus, Grafana, CloudWatch, or Datadog.CI/CD pipelines and Git.Bash or Python scripting.Qualifications4+ years of experience in SRE, DevOps, Cloud, or Platform Engineering.Strong troubleshooting, automation, and production support skills.Experience with cloud-native technologies and distributed systems.

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

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Site Reliability Engineer III (AI Platform)

Location: Mount Laurel, NJ (Onsite)
Duration: Contract
Experience: 4+ years

About the Role

We are seeking a Site Reliability Engineer (SRE) III to support a cutting-edge AI Platform Engineering team responsible for building and maintaining the infrastructure behind enterprise AI and machine learning applications. This is an exciting opportunity to work on large-scale distributed systems, Kubernetes environments, and cloud-native platforms that power next-generation AI solutions.

The ideal candidate has a strong background in cloud infrastructure, Kubernetes, Infrastructure as Code, observability, and automation. Experience supporting production environments at scale is essential.

Responsibilities

Design, implement, and support highly available, scalable, and secure cloud infrastructure.

Maintain and improve Kubernetes-based production environments.

Deploy and support AI/ML applications across cloud platforms.

Automate infrastructure provisioning and operational processes using Terraform and scripting.

Build and maintain CI/CD pipelines using GitHub Actions.

Monitor system health and performance using Prometheus, Grafana, Datadog, CloudWatch, Elasticsearch, and logging tools.

Troubleshoot production issues across distributed systems, cloud infrastructure, networking, and containerized applications.

Partner with development teams to improve application reliability, scalability, and performance.

Participate in incident response, root cause analysis, and continuous service improvements.

Support large-scale Kubernetes clusters and cloud-native workloads.

Required Qualifications

Bachelor's degree in Computer Science or a related technical field (or equivalent experience).

4+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Cloud Infrastructure.

Strong understanding of distributed systems, software design, algorithms, and system performance.

Experience programming or scripting with one or more of the following:

Python

Bash

Go

Java

C/C++

Strong troubleshooting and problem-solving skills.

Excellent communication and collaboration abilities.

Required Technical SkillsCloud Platforms

AWS (required)

Azure or GCP

Containers & Orchestration

Kubernetes (required)

Docker

Amazon EKS

Google GKE/GKS

Infrastructure as Code

Terraform (required)

CI/CD

GitHub Actions

CI/CD pipeline automation

Monitoring & Observability

Prometheus (required)

Grafana

Datadog

CloudWatch

Elasticsearch

Centralized logging solutions

Additional Technologies

MySQL

Kafka

Preferred Qualifications

Experience supporting AI/ML platforms or machine learning infrastructure.

Experience with GPU-based workloads.

Knowledge of AI model deployment or MLOps.

Experience automating operational processes.

Familiarity with enterprise-scale Kubernetes environments.

Nice to Have

Python or Go development experience.

Experience with ETL workflows.

Exposure to AI/ML technologies, LLMs, or agentic AI platforms.

Keywords

Site Reliability Engineer | SRE | DevOps | Platform Engineer | Kubernetes | AWS | Terraform | Docker | EKS | GKE | GitHub Actions | Prometheus | Grafana | Datadog | CloudWatch | Elasticsearch | Kafka | Python | Bash | Go | Infrastructure as Code | Observability | AI Platform | Machine Learning | Cloud Infrastructure | Distributed Systems

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

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