Senior Business Intelligence Developer Location: Birmingham - hybrid, one day per week in the office Salary: 55,000 to 65,000 depending on experience Ref: J13034 A growing organisation investing heavily in its data strategy is seeking a Senior Business Intelligence Developer to help shape modern, scalable data and reporting solutions. You will be central to delivering trusted insight, improving data flows and supporting an environment that makes decisions through clear and accurate information. Responsibilities: Building and maintaining data pipelines in Azure Data Factory Developing and optimising Azure SQL environments Designing meaningful Power BI dashboards and reports for business use Working closely with stakeholders to understand needs and translate them into BI solutions Improving data quality, modelling, automation and governance Supporting and guiding junior colleagues within the BI function Experience: Strong hands on experience with Azure Data Factory Confident delivery using Azure SQL Proven ability in Power BI visualisation and report development Understanding of data warehouse design principles Knowledge or experience of Fabric is advantageous Ability to work with non-technical and technical stakeholders Supporting and guiding junior colleagues within the BI function Experience working in Agile teams Additional Information You must already have the right to work in the United Kingdom as sponsorship is not available. This is a great opportunity to take a key role in shaping modern BI and data solutions within the Azure ecosystem, contributing directly to the organisation's data maturity and future growth. Apply today to find out more.
Dec 10, 2025
Full time
Senior Business Intelligence Developer Location: Birmingham - hybrid, one day per week in the office Salary: 55,000 to 65,000 depending on experience Ref: J13034 A growing organisation investing heavily in its data strategy is seeking a Senior Business Intelligence Developer to help shape modern, scalable data and reporting solutions. You will be central to delivering trusted insight, improving data flows and supporting an environment that makes decisions through clear and accurate information. Responsibilities: Building and maintaining data pipelines in Azure Data Factory Developing and optimising Azure SQL environments Designing meaningful Power BI dashboards and reports for business use Working closely with stakeholders to understand needs and translate them into BI solutions Improving data quality, modelling, automation and governance Supporting and guiding junior colleagues within the BI function Experience: Strong hands on experience with Azure Data Factory Confident delivery using Azure SQL Proven ability in Power BI visualisation and report development Understanding of data warehouse design principles Knowledge or experience of Fabric is advantageous Ability to work with non-technical and technical stakeholders Supporting and guiding junior colleagues within the BI function Experience working in Agile teams Additional Information You must already have the right to work in the United Kingdom as sponsorship is not available. This is a great opportunity to take a key role in shaping modern BI and data solutions within the Azure ecosystem, contributing directly to the organisation's data maturity and future growth. Apply today to find out more.
Senior Business Intelligence Developer Salary: Up to 70,000 Join a dynamic organisation that is enhancing its reporting and analytics capabilities to deliver accurate, actionable insights across the business. With a strong commitment to Microsoft Azure technologies and a cloud-first approach, this is an exciting opportunity to shape how data is transformed into meaningful information for decision-making. As a Senior Business Intelligence Developer, you will work across the full BI stack, designing and implementing robust reporting solutions and ETL processes that ensure data accuracy and reliability. You will collaborate with architects, analysts and stakeholders to deliver high-quality insights that support strategic growth. In this role, you will be responsible for: Developing and maintaining Power BI dashboards and reports to provide actionable insights. Designing and developing robust ETL solutions using Azure Data Factory and related services. Managing integrations between internal systems and external partners. Supporting data migration from legacy systems into the new platform. Collaborating with technical and non-technical stakeholders to deliver clear, actionable solutions. To be successful in this role, you will have: Experience building and optimising Power BI reports and dashboards. Advanced SQL skills and experience with large datasets and data warehouse modelling. Proven experience with Azure SQL Databases, Data Lakes, and scalable ETL development. Excellent communication skills and the ability to translate technical concepts for non-technical audiences. Some of the package/role details include: Salary up to 65,000 Hybrid working model twice per week in Portsmouth Pension scheme and private healthcare options Opportunities for training and development This is just a brief overview of the role. For the full details, simply apply with your CV and I'll be in touch to discuss it further.
Dec 09, 2025
Full time
Senior Business Intelligence Developer Salary: Up to 70,000 Join a dynamic organisation that is enhancing its reporting and analytics capabilities to deliver accurate, actionable insights across the business. With a strong commitment to Microsoft Azure technologies and a cloud-first approach, this is an exciting opportunity to shape how data is transformed into meaningful information for decision-making. As a Senior Business Intelligence Developer, you will work across the full BI stack, designing and implementing robust reporting solutions and ETL processes that ensure data accuracy and reliability. You will collaborate with architects, analysts and stakeholders to deliver high-quality insights that support strategic growth. In this role, you will be responsible for: Developing and maintaining Power BI dashboards and reports to provide actionable insights. Designing and developing robust ETL solutions using Azure Data Factory and related services. Managing integrations between internal systems and external partners. Supporting data migration from legacy systems into the new platform. Collaborating with technical and non-technical stakeholders to deliver clear, actionable solutions. To be successful in this role, you will have: Experience building and optimising Power BI reports and dashboards. Advanced SQL skills and experience with large datasets and data warehouse modelling. Proven experience with Azure SQL Databases, Data Lakes, and scalable ETL development. Excellent communication skills and the ability to translate technical concepts for non-technical audiences. Some of the package/role details include: Salary up to 65,000 Hybrid working model twice per week in Portsmouth Pension scheme and private healthcare options Opportunities for training and development This is just a brief overview of the role. For the full details, simply apply with your CV and I'll be in touch to discuss it further.
Data Developer - Financial Services -Finance Transformation Overview Our sister company Stellarmann is seeking an experienced Data Developer to support the build of a new data warehouse for a client within Financial Services. This is a high-impact role where you'll work closely with senior stakeholders, run workshops and help shape a core data platform that underpins the Finance function. Key Responsibilities Design, build, and maintain scalable data solutions in Snowflake . Integrate data from various systems into a centralised warehouse. Run workshops and gather technical and business requirements. Partner with finance teams to deliver high-quality solutions. Contribute to data mapping, lineage documentation, and transformation processes. Skills & Experience Strong hands-on experience with Snowflake (essential). Proficiency in DBT and SQL . Familiarity with Azure DevOps for managing development workflows. Proven track record of delivering integrated data solutions. Excellent communication and stakeholder engagement skills. Financial Service industry experience (essential) This role offers hybrid working , with 3 days per week in the client's London office . The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website. We know that the most successful teams have a diversity of background, experience and approach. When we recruit, we welcome the unique contributions you can bring thanks to your sex, ethnicity, race, gender identity, nationality, age, disability and beliefs.
Oct 01, 2025
Contractor
Data Developer - Financial Services -Finance Transformation Overview Our sister company Stellarmann is seeking an experienced Data Developer to support the build of a new data warehouse for a client within Financial Services. This is a high-impact role where you'll work closely with senior stakeholders, run workshops and help shape a core data platform that underpins the Finance function. Key Responsibilities Design, build, and maintain scalable data solutions in Snowflake . Integrate data from various systems into a centralised warehouse. Run workshops and gather technical and business requirements. Partner with finance teams to deliver high-quality solutions. Contribute to data mapping, lineage documentation, and transformation processes. Skills & Experience Strong hands-on experience with Snowflake (essential). Proficiency in DBT and SQL . Familiarity with Azure DevOps for managing development workflows. Proven track record of delivering integrated data solutions. Excellent communication and stakeholder engagement skills. Financial Service industry experience (essential) This role offers hybrid working , with 3 days per week in the client's London office . The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website. We know that the most successful teams have a diversity of background, experience and approach. When we recruit, we welcome the unique contributions you can bring thanks to your sex, ethnicity, race, gender identity, nationality, age, disability and beliefs.
Data Developer - Financial Services - Finance Transformation Overview Our sister company Stellarmann is seeking an experienced Data Developer to support the build of a new data warehouse for a client within Financial Services. This is a high-impact role where you'll work closely with senior stakeholders, run workshops and help shape a core data platform that underpins the Finance function. Key Responsibilities Design, build, and maintain scalable data solutions in Snowflake . Integrate data from various systems into a centralised warehouse. Run workshops and gather technical and business requirements. Partner with finance teams to deliver high-quality solutions. Contribute to data mapping, lineage documentation, and transformation processes. Skills & Experience Strong hands-on experience with Snowflake (essential). Proficiency in DBT and SQL . Familiarity with Azure DevOps for managing development workflows. Proven track record of delivering integrated data solutions. Excellent communication and stakeholder engagement skills. Financial Service industry experience (essential) This role offers hybrid working , with 3 days per week in the client's London office . The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website. We know that the most successful teams have a diversity of background, experience and approach. When we recruit, we welcome the unique contributions you can bring thanks to your sex, ethnicity, race, gender identity, nationality, age, disability and beliefs.
Oct 01, 2025
Contractor
Data Developer - Financial Services - Finance Transformation Overview Our sister company Stellarmann is seeking an experienced Data Developer to support the build of a new data warehouse for a client within Financial Services. This is a high-impact role where you'll work closely with senior stakeholders, run workshops and help shape a core data platform that underpins the Finance function. Key Responsibilities Design, build, and maintain scalable data solutions in Snowflake . Integrate data from various systems into a centralised warehouse. Run workshops and gather technical and business requirements. Partner with finance teams to deliver high-quality solutions. Contribute to data mapping, lineage documentation, and transformation processes. Skills & Experience Strong hands-on experience with Snowflake (essential). Proficiency in DBT and SQL . Familiarity with Azure DevOps for managing development workflows. Proven track record of delivering integrated data solutions. Excellent communication and stakeholder engagement skills. Financial Service industry experience (essential) This role offers hybrid working , with 3 days per week in the client's London office . The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website. We know that the most successful teams have a diversity of background, experience and approach. When we recruit, we welcome the unique contributions you can bring thanks to your sex, ethnicity, race, gender identity, nationality, age, disability and beliefs.
City & Capital are currently working with one of the UK's most dynamic and fast-growing specialist property finance lenders who are renowned for their innovation and tailored products to suit the needs of a broad range of professional borrowers, such as property developers and investors. Our client currently offers a range of property-backed loans to cover bridging finance, development exits, commercial mortgages and buy to let. Due to success to date, the lender has now doubled the size of their UK loan book and team 6 times in the last 6 years, with plans to achieve this for a 7th time across the coming period. Due to these increasing levels of high activity, they are generating more and more customer and performance data than ever before and are embarking on a key project to best manage & utilise this. An agile and robust data management and utilisation plan will be key to the attainment of this. Our client is therefore seeking an individual who will play an integral role in building & maintaining the businesses core data infrastructure & to deliver on the demands as outlined below. You will work closely with the lenders Chief Mortgage Officer & Senior Data Lead within the role. This is also a role that comes with plenty of progression potential for those that are successful in the role. About the Role As a Data Engineer, you will play a key role in building and maintaining the business's core data infrastructure. Working closely with the Chief Mortgage Officer, Senior Data Lead and Market Analysts you will enable scalable reporting, clean data flows, and analytics-ready datasets that underpin everything from product development and underwriting to compliance and performance tracking. You'll take ownership of automated data pipelines, cloud infrastructure within Microsoft Fabric, and integrations with platforms like Salesforce and core lending systems. Your work will be vital to ensuring data is accurate, structured, and available powering both real-time business intelligence and future advanced analytics. Key Responsibilities Design and develop automated ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient in SQL and Python, with a proven track record of building and maintaining ETL/ELT pipelines. Experience working with Microsoft Fabric, Azure Data Factory, and modern Lakehouse or data warehouse architecture is essential. You'll demonstrate a strong focus on data quality and governance and be adept at integrating third-party APIs and transforming raw data into analytics-ready assets. Prior experience in financial services or lending is preferred, and the ability to communicate data requirements clearly across business teams will be key to success in this role. You'll be a technically strong data professional with hands-on experience in pipeline development, cloud-based data infrastructure, and performance optimisation. You will be at your best when working collaboratively in fast-paced environments and when translating complex business needs into structured, reliable data systems. On?Offer Our client is ideally looking to pay between £50k - £705as a basic salary for the ideal individual, relevant to experience. Higher offers may also be considered for exceptional talent and potential. Salary will be complemented by a favourable bonus scheme too, that will significantly enhance annual earnings. Most notably, due to our clients continued growth & strong and proven promote from within policy, this is also a role that comes with plenty of progression potential, where excellent performance is delivered. In turn, this could see you propel both career standing & salary within, as you make a real impact on the role and business. The?role?will?be?based?in?our?clients?Mayfair?offices,?offering?a?collaborative?and?fast paced working environment. There is a reasonable amount of urgency to fill this position as you might expect, for the reasons outlined. We do not expect this role to be on the market for long! Therefore, if this role does sound like one that you are both qualified for and interested in then we look forward to your application as soon as possible. We do not expect this role to be on the market for long! We will aim to review your application as soon as possible and get back to you with an update following. We look forward to hearing from you. Kind Regards, The City and Capital Team
Oct 01, 2025
Full time
City & Capital are currently working with one of the UK's most dynamic and fast-growing specialist property finance lenders who are renowned for their innovation and tailored products to suit the needs of a broad range of professional borrowers, such as property developers and investors. Our client currently offers a range of property-backed loans to cover bridging finance, development exits, commercial mortgages and buy to let. Due to success to date, the lender has now doubled the size of their UK loan book and team 6 times in the last 6 years, with plans to achieve this for a 7th time across the coming period. Due to these increasing levels of high activity, they are generating more and more customer and performance data than ever before and are embarking on a key project to best manage & utilise this. An agile and robust data management and utilisation plan will be key to the attainment of this. Our client is therefore seeking an individual who will play an integral role in building & maintaining the businesses core data infrastructure & to deliver on the demands as outlined below. You will work closely with the lenders Chief Mortgage Officer & Senior Data Lead within the role. This is also a role that comes with plenty of progression potential for those that are successful in the role. About the Role As a Data Engineer, you will play a key role in building and maintaining the business's core data infrastructure. Working closely with the Chief Mortgage Officer, Senior Data Lead and Market Analysts you will enable scalable reporting, clean data flows, and analytics-ready datasets that underpin everything from product development and underwriting to compliance and performance tracking. You'll take ownership of automated data pipelines, cloud infrastructure within Microsoft Fabric, and integrations with platforms like Salesforce and core lending systems. Your work will be vital to ensuring data is accurate, structured, and available powering both real-time business intelligence and future advanced analytics. Key Responsibilities Design and develop automated ETL/ELT pipelines using SQL and Python Integrate internal/external data sources via APIs and platform connectors Model and structure data for scalable analytics (e.g., star/snowflake schemas) Administer Microsoft Fabric Lakehouse and Azure services Optimise performance across queries, datasets, and pipelines Apply data validation, cleansing, and standardisation rules Document pipeline logic and contribute to business-wide metadata catalogues Collaborate with BI, Change, and Product teams to align data outputs to needs Support groundwork for future data science and machine learning initiatives The successful applicant will be proficient in SQL and Python, with a proven track record of building and maintaining ETL/ELT pipelines. Experience working with Microsoft Fabric, Azure Data Factory, and modern Lakehouse or data warehouse architecture is essential. You'll demonstrate a strong focus on data quality and governance and be adept at integrating third-party APIs and transforming raw data into analytics-ready assets. Prior experience in financial services or lending is preferred, and the ability to communicate data requirements clearly across business teams will be key to success in this role. You'll be a technically strong data professional with hands-on experience in pipeline development, cloud-based data infrastructure, and performance optimisation. You will be at your best when working collaboratively in fast-paced environments and when translating complex business needs into structured, reliable data systems. On?Offer Our client is ideally looking to pay between £50k - £705as a basic salary for the ideal individual, relevant to experience. Higher offers may also be considered for exceptional talent and potential. Salary will be complemented by a favourable bonus scheme too, that will significantly enhance annual earnings. Most notably, due to our clients continued growth & strong and proven promote from within policy, this is also a role that comes with plenty of progression potential, where excellent performance is delivered. In turn, this could see you propel both career standing & salary within, as you make a real impact on the role and business. The?role?will?be?based?in?our?clients?Mayfair?offices,?offering?a?collaborative?and?fast paced working environment. There is a reasonable amount of urgency to fill this position as you might expect, for the reasons outlined. We do not expect this role to be on the market for long! Therefore, if this role does sound like one that you are both qualified for and interested in then we look forward to your application as soon as possible. We do not expect this role to be on the market for long! We will aim to review your application as soon as possible and get back to you with an update following. We look forward to hearing from you. Kind Regards, The City and Capital Team
We are a global recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: Credit Risk Architect Location: Knutsford (only candidates no more than one hour away from the area or willing to relocate) Duration: 31/12/2025 Days on site: 2-3 days onsite (non-consecutive) Pay Rate: £492 per day inside IR35 Role Description Looking for aCredit Risk Decisioning and Affordability the architect designs and develops the technology strategy and systems used to assess the creditworthiness and financial capacity of loan applicants. This role focuses on building the overall architecture for the lending process, combining data, advanced analytics, and regulatory knowledge to create automated, efficient, and compliant decision-making platforms. Key responsibilities A credit risk decisioning and affordability architect has a wide range of responsibilities, including: Architecting decision platforms: Design, build, and implement the technical architecture for end-to-end credit risk decisioning and affordability solutions. This includes integrating various data sources (internal and external), analytical models, and rule-based engines. Developing credit strategy: Translate business objectives and credit policy into technical requirements and system rules. This includes defining risk appetite, decision flows, and the criteria for approving, denying, or referring credit applications. Overseeing model development: Work closely with data scientists and credit risk model developers to integrate statistical and machine learning models into the decisioning architecture. This includes models for credit scoring, loss forecasting, and affordability assessments. Ensuring regulatory compliance: Incorporate all relevant regulatory requirements (eg, responsible lending obligations) into the decisioning framework. The architect must ensure the system provides a robust audit trail for all lending decisions. Monitoring system performance: Establish monitoring and reporting frameworks to track the performance of the decisioning system and underlying models. This includes tracking key metrics like credit approval rates, default rates, and model accuracy. Driving automation and efficiency: Identify opportunities to increase automation within the credit life cycle, from application processing to portfolio management. This involves leveraging technologies to reduce manual intervention and streamline operations. Managing stakeholder engagement: Serve as a technical subject matter expert for senior management, risk teams, and business units. The architect must communicate technical concepts and strategic direction clearly to both technical and non-technical audiences. Required skills and qualifications The ideal candidate for this role possesses a deep blend of technical, analytical, and financial knowledge. Technical skills Decision engine platforms: Extensive experience with industry-standard decisioning software like FICO Blaze Advisor, Pega, or other rule-based and predictive analytics tools. Data and analytics: Expert knowledge of data analysis tools and programming languages (eg, Python, R, SAS) and proficiency in database and data warehousing technologies. System integration: Experience with enterprise-level system architecture, including integrating decisioning engines with customer-facing applications, credit bureaus, and internal data warehouses. Cloud platforms: Familiarity with cloud services (AWS, Azure, GCP) and how they can be leveraged to scale decisioning platforms. Advanced modelling: Expertise in statistical modelling, machine learning, and stress-testing methodologies. Financial acumen: Deep understanding of financial products, the credit life cycle, and the risks associated with lending. Credit policy knowledge: Strong grasp of credit underwriting principles, affordability metrics, and regulatory compliance standards. If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
Sep 23, 2025
Contractor
We are a global recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you. Role Title: Credit Risk Architect Location: Knutsford (only candidates no more than one hour away from the area or willing to relocate) Duration: 31/12/2025 Days on site: 2-3 days onsite (non-consecutive) Pay Rate: £492 per day inside IR35 Role Description Looking for aCredit Risk Decisioning and Affordability the architect designs and develops the technology strategy and systems used to assess the creditworthiness and financial capacity of loan applicants. This role focuses on building the overall architecture for the lending process, combining data, advanced analytics, and regulatory knowledge to create automated, efficient, and compliant decision-making platforms. Key responsibilities A credit risk decisioning and affordability architect has a wide range of responsibilities, including: Architecting decision platforms: Design, build, and implement the technical architecture for end-to-end credit risk decisioning and affordability solutions. This includes integrating various data sources (internal and external), analytical models, and rule-based engines. Developing credit strategy: Translate business objectives and credit policy into technical requirements and system rules. This includes defining risk appetite, decision flows, and the criteria for approving, denying, or referring credit applications. Overseeing model development: Work closely with data scientists and credit risk model developers to integrate statistical and machine learning models into the decisioning architecture. This includes models for credit scoring, loss forecasting, and affordability assessments. Ensuring regulatory compliance: Incorporate all relevant regulatory requirements (eg, responsible lending obligations) into the decisioning framework. The architect must ensure the system provides a robust audit trail for all lending decisions. Monitoring system performance: Establish monitoring and reporting frameworks to track the performance of the decisioning system and underlying models. This includes tracking key metrics like credit approval rates, default rates, and model accuracy. Driving automation and efficiency: Identify opportunities to increase automation within the credit life cycle, from application processing to portfolio management. This involves leveraging technologies to reduce manual intervention and streamline operations. Managing stakeholder engagement: Serve as a technical subject matter expert for senior management, risk teams, and business units. The architect must communicate technical concepts and strategic direction clearly to both technical and non-technical audiences. Required skills and qualifications The ideal candidate for this role possesses a deep blend of technical, analytical, and financial knowledge. Technical skills Decision engine platforms: Extensive experience with industry-standard decisioning software like FICO Blaze Advisor, Pega, or other rule-based and predictive analytics tools. Data and analytics: Expert knowledge of data analysis tools and programming languages (eg, Python, R, SAS) and proficiency in database and data warehousing technologies. System integration: Experience with enterprise-level system architecture, including integrating decisioning engines with customer-facing applications, credit bureaus, and internal data warehouses. Cloud platforms: Familiarity with cloud services (AWS, Azure, GCP) and how they can be leveraged to scale decisioning platforms. Advanced modelling: Expertise in statistical modelling, machine learning, and stress-testing methodologies. Financial acumen: Deep understanding of financial products, the credit life cycle, and the risks associated with lending. Credit policy knowledge: Strong grasp of credit underwriting principles, affordability metrics, and regulatory compliance standards. If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
Lead Database Developer - Global Software House - Peterborough/Hybrid (Tech stack: Lead Database Developer, SQL Developer, Database Developer, SQL Server 2017, T-SQL, SSIS, SSRS, SSAS, Business Intelligence, OLTP Systems, BI, OLAP, Performance Optimisation, Distributed Transactions, SaaS, Cloud Platforms (AWS/Azure/GCP), Data Warehouse, SQL Developer) Do you want to work for an internationally recognised brand? Do you want to work on enterprise level software development projects and gain exposure to cutting edge technologies? Do you want to experience a truly sophisticated Agile development environment? Then look no further! Our client is an award-winning software house with a strong presence in over 100 countries. Due to continued growth and expansion, we are seeking a Lead Database Developer to join their dynamic team of high-flying individuals. Lead Database Developer applicants should be experienced in some, if not all, of the following: SQL Server 2017, Business Intelligence (BI), OLTP Systems, OLAP, Data Warehousing and more. Our client can provide you with industry recognised training in: SQL Server 2019, replication, clustering, SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS) and data warehouse technologies. This is a truly fabulous opportunity to join a spectacular organization; one that offers a structured career progression programme, excellent training, exquisite offices and amazing benefits. All positions come with the following benefits: Performance-based Bonus 28 days holiday (plus 8 UK Bank Holidays). Flexible working hours Hybrid Working Policy. Health & Life Insurance Training allowance And much more Location: Peterborough, UK / Hybrid Working Salary: £65,000 - £75,000 + Bonus + Pension + Benefits Please note, applicants must have the right to work in the UK as the employer cannot provide sponsorships. Noir continues to be the leading technology recruitment agency; we can help you make the right career decisions! NOIRUKTECHREC NOIRUKREC
Sep 22, 2025
Full time
Lead Database Developer - Global Software House - Peterborough/Hybrid (Tech stack: Lead Database Developer, SQL Developer, Database Developer, SQL Server 2017, T-SQL, SSIS, SSRS, SSAS, Business Intelligence, OLTP Systems, BI, OLAP, Performance Optimisation, Distributed Transactions, SaaS, Cloud Platforms (AWS/Azure/GCP), Data Warehouse, SQL Developer) Do you want to work for an internationally recognised brand? Do you want to work on enterprise level software development projects and gain exposure to cutting edge technologies? Do you want to experience a truly sophisticated Agile development environment? Then look no further! Our client is an award-winning software house with a strong presence in over 100 countries. Due to continued growth and expansion, we are seeking a Lead Database Developer to join their dynamic team of high-flying individuals. Lead Database Developer applicants should be experienced in some, if not all, of the following: SQL Server 2017, Business Intelligence (BI), OLTP Systems, OLAP, Data Warehousing and more. Our client can provide you with industry recognised training in: SQL Server 2019, replication, clustering, SQL Server Integration Services (SSIS), SQL Server Reporting Services (SSRS), SQL Server Analysis Services (SSAS) and data warehouse technologies. This is a truly fabulous opportunity to join a spectacular organization; one that offers a structured career progression programme, excellent training, exquisite offices and amazing benefits. All positions come with the following benefits: Performance-based Bonus 28 days holiday (plus 8 UK Bank Holidays). Flexible working hours Hybrid Working Policy. Health & Life Insurance Training allowance And much more Location: Peterborough, UK / Hybrid Working Salary: £65,000 - £75,000 + Bonus + Pension + Benefits Please note, applicants must have the right to work in the UK as the employer cannot provide sponsorships. Noir continues to be the leading technology recruitment agency; we can help you make the right career decisions! NOIRUKTECHREC NOIRUKREC
