Nexere Consulting Limited
Senior Salesforce Developer - Service Could - Experience Cloud - Marketing Cloud - Apex - LWC Role - Senior Salesforce Developer Salary - up to £90,000 + Benefits Location - London Bridge Working Situation - Hybrid (2x per week in the office) My client who are leaders in their field are looking for a Senior Salesforce Developer who will be responsible for hands-on development, platform optimisation, and delivering scalable solutions across Service Cloud and Marketing Cloud. The role leads Apex development, configuration, and CI/CD processes, while ensuring platform stability, assessing release impacts, resolving BAU issues, and driving continuous improvement. Key Responsibilities Salesforce Development Design and deliver scalable, high-performance Salesforce solutions. Build and configure functionality across Service Cloud and Marketing Cloud. Write clean Apex code and use declarative tools to meet business needs. Complete unit testing, documentation, and support system testing. Collaboration & Stakeholder Engagement Work with Product Owners and Business Analysts to translate requirements into effective solutions. Participate in Agile ceremonies (sprint planning, grooming, retros). Advise teams on Salesforce capabilities, limitations, and best practices. Platform Management & BAU Support ongoing maintenance and optimisation of the Salesforce platform. Troubleshoot, resolve, and document issues for both projects and BAU. Essential Skills & Experience Extensive hands-on Salesforce development experience in complex environments. Strong skills in Apex, LWC, SOQL, REST/SOAP APIs, and Salesforce configuration. Solid understanding of Service Cloud and Experience Cloud (essential); Marketing Cloud and Sales Cloud (desirable). Experience with CI/CD, Git/GitHub, and structured deployment processes. Strong grasp of Salesforce data architecture, platform limits, and security
Senior Salesforce Developer - Service Could - Experience Cloud - Marketing Cloud - Apex - LWC Role - Senior Salesforce Developer Salary - up to £90,000 + Benefits Location - London Bridge Working Situation - Hybrid (2x per week in the office) My client who are leaders in their field are looking for a Senior Salesforce Developer who will be responsible for hands-on development, platform optimisation, and delivering scalable solutions across Service Cloud and Marketing Cloud. The role leads Apex development, configuration, and CI/CD processes, while ensuring platform stability, assessing release impacts, resolving BAU issues, and driving continuous improvement. Key Responsibilities Salesforce Development Design and deliver scalable, high-performance Salesforce solutions. Build and configure functionality across Service Cloud and Marketing Cloud. Write clean Apex code and use declarative tools to meet business needs. Complete unit testing, documentation, and support system testing. Collaboration & Stakeholder Engagement Work with Product Owners and Business Analysts to translate requirements into effective solutions. Participate in Agile ceremonies (sprint planning, grooming, retros). Advise teams on Salesforce capabilities, limitations, and best practices. Platform Management & BAU Support ongoing maintenance and optimisation of the Salesforce platform. Troubleshoot, resolve, and document issues for both projects and BAU. Essential Skills & Experience Extensive hands-on Salesforce development experience in complex environments. Strong skills in Apex, LWC, SOQL, REST/SOAP APIs, and Salesforce configuration. Solid understanding of Service Cloud and Experience Cloud (essential); Marketing Cloud and Sales Cloud (desirable). Experience with CI/CD, Git/GitHub, and structured deployment processes. Strong grasp of Salesforce data architecture, platform limits, and security
Nexere Consulting Limited
Lead Data Platform Engineer - Databricks - IAC - Terraform - Azure Data Factory - Data Lakehouse The Data Platform Engineer designs, develops, automates, and maintains secure, scalable, and compliant data platforms that enable the firm to efficiently manage, analyse, and utilise data. The role ensures that data solutions are robust and reliable while meeting regulatory obligations and safeguarding client confidentiality. Key Responsibilities Design and architect scalable, secure, and compliant data platforms and solutions, producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards. Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services. Develop APIs and write efficient Python, PySpark, and SQL code to support data integration, processing, and automation. Implement and manage CI/CD pipelines and automated deployments using Azure DevOps to enable reliable releases across environments. Develop and maintain infrastructure-as-code (eg, Terraform, ARM) to provision and manage cloud resources, including ADF pipelines, Databricks assets, and Unity Catalog components. Monitor, troubleshoot, and optimise data platform performance, reliability, and costs, identifying bottlenecks and recommending improvements. Create dashboards and observability tools to report on platform performance, usage, incidents, and operational KPIs. Knowledge, Skills & Experience Degree in Computer Science, Data Engineering, or a related field. Proven experience designing and building cloud-based data platforms, ideally within Azure. Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory. Solid understanding of Data Lakehouse architecture and modern data platform design. Proficiency in Python for data engineering, automation, and data processing. Experience developing and integrating REST APIs for data services. Strong DevOps experience, including CI/CD, automated testing, and release management for data platforms. Experience with Infrastructure as Code tools such as Terraform or ARM templates. Knowledge of data modelling, ETL/ELT pipelines, and data warehousing concepts. Familiarity with monitoring, logging, and alerting tools (eg, Azure Monitor). Desirable Experience with additional Azure services (eg, Fabric, Azure Functions, Logic Apps). Knowledge of cloud cost optimisation for data platforms. Understanding of data governance and regulatory compliance (eg, GDPR). Experience working in regulated or professional services environments.
Lead Data Platform Engineer - Databricks - IAC - Terraform - Azure Data Factory - Data Lakehouse The Data Platform Engineer designs, develops, automates, and maintains secure, scalable, and compliant data platforms that enable the firm to efficiently manage, analyse, and utilise data. The role ensures that data solutions are robust and reliable while meeting regulatory obligations and safeguarding client confidentiality. Key Responsibilities Design and architect scalable, secure, and compliant data platforms and solutions, producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards. Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services. Develop APIs and write efficient Python, PySpark, and SQL code to support data integration, processing, and automation. Implement and manage CI/CD pipelines and automated deployments using Azure DevOps to enable reliable releases across environments. Develop and maintain infrastructure-as-code (eg, Terraform, ARM) to provision and manage cloud resources, including ADF pipelines, Databricks assets, and Unity Catalog components. Monitor, troubleshoot, and optimise data platform performance, reliability, and costs, identifying bottlenecks and recommending improvements. Create dashboards and observability tools to report on platform performance, usage, incidents, and operational KPIs. Knowledge, Skills & Experience Degree in Computer Science, Data Engineering, or a related field. Proven experience designing and building cloud-based data platforms, ideally within Azure. Strong hands-on expertise with Databricks, PySpark, Spark SQL, and Azure Data Factory. Solid understanding of Data Lakehouse architecture and modern data platform design. Proficiency in Python for data engineering, automation, and data processing. Experience developing and integrating REST APIs for data services. Strong DevOps experience, including CI/CD, automated testing, and release management for data platforms. Experience with Infrastructure as Code tools such as Terraform or ARM templates. Knowledge of data modelling, ETL/ELT pipelines, and data warehousing concepts. Familiarity with monitoring, logging, and alerting tools (eg, Azure Monitor). Desirable Experience with additional Azure services (eg, Fabric, Azure Functions, Logic Apps). Knowledge of cloud cost optimisation for data platforms. Understanding of data governance and regulatory compliance (eg, GDPR). Experience working in regulated or professional services environments.