Senior Data Engineer - Azure Data - Burton-on-Trent - Permanent - Hybrid Salary - £60,000 - £67,000 per annum This role requires 1 day / week in Burton-on-Trent, with hybrid working arrangements. Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer will come on board to support the Strategic Data Manager in establishing and managing an efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current with Azure technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy Crimson is acting as an employment agency regarding this vacancy
06/12/2025
Full time
Senior Data Engineer - Azure Data - Burton-on-Trent - Permanent - Hybrid Salary - £60,000 - £67,000 per annum This role requires 1 day / week in Burton-on-Trent, with hybrid working arrangements. Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer will come on board to support the Strategic Data Manager in establishing and managing an efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current with Azure technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy Crimson is acting as an employment agency regarding this vacancy
Senior Azure Data Engineer Hybrid - Work From Home and West London Circ £70,000 - £80,000 + Range of benefits A well-known and prestigious business is looking to add a Senior Azure Data Engineer to their data team. This is an exciting opportunity for a Data Engineer that's not just technical, but also enjoys directly engaging and collaborating with stakeholders from across business functions such as finance, operations, planning, manufacturing, retail, e-commerce etc. Having nearly completed the process of migrating data from their existing on-prem databases to an Azure Cloud based platform, the Senior Data Engineer will play a key role in helping make best use of the data by gathering and agreeing requirements with the business to build data solutions that align accordingly. Working with diverse data sets from multiple systems and overseeing their integration and optimisation will require raw development, management and optimisation of data pipelines using tools in the Azure Cloud. Our client has expanded rapidly and been transformed in recent years, they're an iconic business with a special work environment that's manifested a strong and positive culture amongst the whole workforce. This is a hybrid role where the postholder can work from home 2 or 3 days per week, the other days will be based onsite in West London just a few minutes walk from a Central Line tube station. The key responsibilities for the post include; Develop, construct, test and maintain data architectures within large scale data processing systems. Develop and manage data pipelines using Azure Data Factory, Delta Lake and Spark. Utilise Azure Cloud architecture knowledge to design and implement scalable data solutions. Utilise Spark, SQL, Python, R, and other data frameworks to manipulate data and gain a thorough understanding of the dataset's characteristics. Interact with API systems to query and retrieve data for analysis. Collaborate with business users / stakeholders to gather and agree requirements. To be considered for the post you'll need at least 5 years experience ideally with 1 or 2 years at a senior / lead level. You'll need to be goal driven and able to take ownership of work tasks without the need for constant supervision. You'll be engaging with multiple business areas so the ability to communicate effectively to understand requirements and build trusted relationships is a must. It's likely you'll have most, if not all the following: Experience as a Senior Data Engineer or similar Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Knowledge of querying API systems. Experience building and optimising ETL pipelines using Databricks. Strong problem-solving skills and attention to detail. Understanding of data governance and data quality principles. A degree in computer science, engineering, or equivalent experience. Salary will be dependent on experience and likely to be in the region of £70,000 - £80,000 although client may consider higher for outstanding candidate. Our client can also provide a vibrant, rewarding, and diverse work environment that supports career development. Candidates must be authorised to work in the UK and not require sponsoring either now or in the future. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. Young's Employment Services acts in the capacity of both an Employment Agent and Employment Business.
05/12/2025
Full time
Senior Azure Data Engineer Hybrid - Work From Home and West London Circ £70,000 - £80,000 + Range of benefits A well-known and prestigious business is looking to add a Senior Azure Data Engineer to their data team. This is an exciting opportunity for a Data Engineer that's not just technical, but also enjoys directly engaging and collaborating with stakeholders from across business functions such as finance, operations, planning, manufacturing, retail, e-commerce etc. Having nearly completed the process of migrating data from their existing on-prem databases to an Azure Cloud based platform, the Senior Data Engineer will play a key role in helping make best use of the data by gathering and agreeing requirements with the business to build data solutions that align accordingly. Working with diverse data sets from multiple systems and overseeing their integration and optimisation will require raw development, management and optimisation of data pipelines using tools in the Azure Cloud. Our client has expanded rapidly and been transformed in recent years, they're an iconic business with a special work environment that's manifested a strong and positive culture amongst the whole workforce. This is a hybrid role where the postholder can work from home 2 or 3 days per week, the other days will be based onsite in West London just a few minutes walk from a Central Line tube station. The key responsibilities for the post include; Develop, construct, test and maintain data architectures within large scale data processing systems. Develop and manage data pipelines using Azure Data Factory, Delta Lake and Spark. Utilise Azure Cloud architecture knowledge to design and implement scalable data solutions. Utilise Spark, SQL, Python, R, and other data frameworks to manipulate data and gain a thorough understanding of the dataset's characteristics. Interact with API systems to query and retrieve data for analysis. Collaborate with business users / stakeholders to gather and agree requirements. To be considered for the post you'll need at least 5 years experience ideally with 1 or 2 years at a senior / lead level. You'll need to be goal driven and able to take ownership of work tasks without the need for constant supervision. You'll be engaging with multiple business areas so the ability to communicate effectively to understand requirements and build trusted relationships is a must. It's likely you'll have most, if not all the following: Experience as a Senior Data Engineer or similar Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Knowledge of querying API systems. Experience building and optimising ETL pipelines using Databricks. Strong problem-solving skills and attention to detail. Understanding of data governance and data quality principles. A degree in computer science, engineering, or equivalent experience. Salary will be dependent on experience and likely to be in the region of £70,000 - £80,000 although client may consider higher for outstanding candidate. Our client can also provide a vibrant, rewarding, and diverse work environment that supports career development. Candidates must be authorised to work in the UK and not require sponsoring either now or in the future. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. Young's Employment Services acts in the capacity of both an Employment Agent and Employment Business.
Role: BI Manager Salary: £70,000 - £80,000 PA Plus Bonus and Benefits Location: Central Birmingham, West Midlands (Hybrid Working - 2 days per week onsite) We are currently working with a leading Midlands based services provider who require a technically strong Senior BI Manager with a good understanding of Azure Data and Data Engineering tools. Working as a key member of a newly formed Data Engineering team, the successful candidate will lead the design, development, and ongoing enhancement of the client's data and reporting infrastructure. You will be the strategic owner of the Azure Data Platform, overseeing services such as Azure Data Lake, Data Warehouse, Data Factory, Databricks, and Power BI. The technical focus is all Microsoft, primarily Azure so any Fabric experience would be very beneficial. Our client is looking for someone who is going to lead the function, and has previous experience doing this. Someone who really understands data and what it can be used for and challenge the business on what they need from the data and challenge the teams to produce the most effective data outputs for the business need so that it can improve and become a first-class function. You will need to be able to drive the direction of how data works for the organisation and the overall Data/BI strategy, design solutions that fit, and demonstrate what value data can bring to the company if it is used effectively. A technical background is essential to be able understand and bridge the gap between the Data Team and the Business environment so that the two collaborate effectively and are challenged both ways. Someone who can understand and appreciate both the technical side and the business strategy side. Our client offers a good, supportive environment which is going through a major transformation being driven by technology. Skills & experience required: Experience leading a BI function Expertise in Azure BI architecture and Cloud services Hands-on experience with Azure Fabric, SQL warehousing, DataLakes, Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities Experience in leading a BI team and a business through the development and transition to a Data Lake / Factory / Warehouse Technical BI development/architect background Benefits: Achievable bonus scheme 4% Pension Life Insurance 3 x salary 25 days annual leave plus statutory - 1 x extra day every year for the first 3 years Blue Light Card Medicash - includes discounted gym memberships etc. If your profile demonstrates strong and recent experience in the above areas - please submit your application ASAP to Jackie Dean at TXP for consideration. TXP takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.
05/12/2025
Full time
Role: BI Manager Salary: £70,000 - £80,000 PA Plus Bonus and Benefits Location: Central Birmingham, West Midlands (Hybrid Working - 2 days per week onsite) We are currently working with a leading Midlands based services provider who require a technically strong Senior BI Manager with a good understanding of Azure Data and Data Engineering tools. Working as a key member of a newly formed Data Engineering team, the successful candidate will lead the design, development, and ongoing enhancement of the client's data and reporting infrastructure. You will be the strategic owner of the Azure Data Platform, overseeing services such as Azure Data Lake, Data Warehouse, Data Factory, Databricks, and Power BI. The technical focus is all Microsoft, primarily Azure so any Fabric experience would be very beneficial. Our client is looking for someone who is going to lead the function, and has previous experience doing this. Someone who really understands data and what it can be used for and challenge the business on what they need from the data and challenge the teams to produce the most effective data outputs for the business need so that it can improve and become a first-class function. You will need to be able to drive the direction of how data works for the organisation and the overall Data/BI strategy, design solutions that fit, and demonstrate what value data can bring to the company if it is used effectively. A technical background is essential to be able understand and bridge the gap between the Data Team and the Business environment so that the two collaborate effectively and are challenged both ways. Someone who can understand and appreciate both the technical side and the business strategy side. Our client offers a good, supportive environment which is going through a major transformation being driven by technology. Skills & experience required: Experience leading a BI function Expertise in Azure BI architecture and Cloud services Hands-on experience with Azure Fabric, SQL warehousing, DataLakes, Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities Experience in leading a BI team and a business through the development and transition to a Data Lake / Factory / Warehouse Technical BI development/architect background Benefits: Achievable bonus scheme 4% Pension Life Insurance 3 x salary 25 days annual leave plus statutory - 1 x extra day every year for the first 3 years Blue Light Card Medicash - includes discounted gym memberships etc. If your profile demonstrates strong and recent experience in the above areas - please submit your application ASAP to Jackie Dean at TXP for consideration. TXP takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.
About Us: We're not your typical MSP. As a second-generation Managed Service Provider (MSP) born from the expertise of industry veterans, we're crafting a new narrative in the UK tech scene. Our team, akin to the Navy SEALs of the tech world, consists of elite operators who've excelled in larger MSP environments but yearned for something more. At Synextra, we've spent 10+ transformative years building a company that's small by design but colossal in impact, guided by a technical leader whose vision is always client-first. We are currently looking for a skilled and enthusiastic Senior Cloud Infrastructure Engineer to join our dynamic technical team. You can expect to work with the latest technology and leading brands in a team where everyone has a passion for technology. This will be a hands-on, fast-paced role where there will be endless opportunities to develop new skills and get involved in projects across the business. About you: A highly ambitious, energetic and hands-on Azure cloud-native engineer, who works as well in a team as you can alone. Thrives in a fast-paced, loosely structured start-up environment where extra effort and a high quality of work won't go unrecognised. Eager to work fast, iterate quickly and with a drive for excellence in everything they do. Excited to be able to constantly work with and learn new technologies. About the role: At least 90% of BAU will operate across the full Azure suite (see essential skills for key areas of interest). The remaining BAU will cover a multitude of enterprise-level MSP and ISP technologies (Such as Windows Server, Active Directory, M365 etc.) No two days will be the same; different technologies, challenges and opportunities will always be present. Occasional project-based work. Help lead the 5 support provided by the Cloud Infrastructure team as one of a few key senior team members. Mentor the junior team members to continue their technical development and provide feedback to help shape their growth and progression. Out of hours work is involved (on-call, overtime). Working from our modern office workplace on-site in Warrington, 8.5h/day, Mon-Fri What you gain: A rare chance to help an Expertise-driven MSP continue to grow and provide excellence under the technical vision of the founding team. Exposure to an extreme amount of core and cutting-edge cloud native technologies across dozens of SMEs. Mentorship for your own development from the Lead Engineers with the Cloud Infrastructure, Cloud Platform and Cloud Consultancy teams. Collaboration with an ambitious team of industry experts who are always trying to push the company, and each other to deliver the best solutions possible. Essential skills required: Expert with Azure IaaS services including but not limited to; Virtual Machines, Azure Networking (VNETs, VWAN, Azure Firewall), relevant backup and DR services (Azure Backup, Azure Site Recovery, Veeam). Experienced with Azure PaaS services such as App Services, Azure Front Door, Azure Data Factory, Azure SQL and more. Exposure to IAC (Terraform, Bicep) would be advantageous. Exposure to Azure's development and data services; Azure DevOps, Azure APIM, Azure Fabric, Azure Databricks, etc. Expert understanding of Active Directory & Windows Server. Strong understanding of core cybersecurity principles including least privilege access, zero-trust networking and defence in depth. Solid understanding of virtual desktop infrastructure and direct experience working with Azure Virtual Desktop and FSLogix. Experience in a customer-facing technical role dealing with both technical and non-technical stakeholders. Perks & Benefits: Great office location, free parking, plenty of on-campus amenities. Stylish breakout spaces, pool table, games console, premium coffee, fruit, snacks and soft drinks. Comprehensive benefits including private healthcare, dental cover, and more. A Garmin smartwatch to prioritise health and fitness. Perkbox employee benefits platform A culture that celebrates success, encourages innovation, and supports your professional and personal growth Are you the game changer we are looking for? If this sounds like the challenge you've been waiting for, we're excited to hear from you. Reach out to us, and schedule your chat with our team.
05/12/2025
Full time
About Us: We're not your typical MSP. As a second-generation Managed Service Provider (MSP) born from the expertise of industry veterans, we're crafting a new narrative in the UK tech scene. Our team, akin to the Navy SEALs of the tech world, consists of elite operators who've excelled in larger MSP environments but yearned for something more. At Synextra, we've spent 10+ transformative years building a company that's small by design but colossal in impact, guided by a technical leader whose vision is always client-first. We are currently looking for a skilled and enthusiastic Senior Cloud Infrastructure Engineer to join our dynamic technical team. You can expect to work with the latest technology and leading brands in a team where everyone has a passion for technology. This will be a hands-on, fast-paced role where there will be endless opportunities to develop new skills and get involved in projects across the business. About you: A highly ambitious, energetic and hands-on Azure cloud-native engineer, who works as well in a team as you can alone. Thrives in a fast-paced, loosely structured start-up environment where extra effort and a high quality of work won't go unrecognised. Eager to work fast, iterate quickly and with a drive for excellence in everything they do. Excited to be able to constantly work with and learn new technologies. About the role: At least 90% of BAU will operate across the full Azure suite (see essential skills for key areas of interest). The remaining BAU will cover a multitude of enterprise-level MSP and ISP technologies (Such as Windows Server, Active Directory, M365 etc.) No two days will be the same; different technologies, challenges and opportunities will always be present. Occasional project-based work. Help lead the 5 support provided by the Cloud Infrastructure team as one of a few key senior team members. Mentor the junior team members to continue their technical development and provide feedback to help shape their growth and progression. Out of hours work is involved (on-call, overtime). Working from our modern office workplace on-site in Warrington, 8.5h/day, Mon-Fri What you gain: A rare chance to help an Expertise-driven MSP continue to grow and provide excellence under the technical vision of the founding team. Exposure to an extreme amount of core and cutting-edge cloud native technologies across dozens of SMEs. Mentorship for your own development from the Lead Engineers with the Cloud Infrastructure, Cloud Platform and Cloud Consultancy teams. Collaboration with an ambitious team of industry experts who are always trying to push the company, and each other to deliver the best solutions possible. Essential skills required: Expert with Azure IaaS services including but not limited to; Virtual Machines, Azure Networking (VNETs, VWAN, Azure Firewall), relevant backup and DR services (Azure Backup, Azure Site Recovery, Veeam). Experienced with Azure PaaS services such as App Services, Azure Front Door, Azure Data Factory, Azure SQL and more. Exposure to IAC (Terraform, Bicep) would be advantageous. Exposure to Azure's development and data services; Azure DevOps, Azure APIM, Azure Fabric, Azure Databricks, etc. Expert understanding of Active Directory & Windows Server. Strong understanding of core cybersecurity principles including least privilege access, zero-trust networking and defence in depth. Solid understanding of virtual desktop infrastructure and direct experience working with Azure Virtual Desktop and FSLogix. Experience in a customer-facing technical role dealing with both technical and non-technical stakeholders. Perks & Benefits: Great office location, free parking, plenty of on-campus amenities. Stylish breakout spaces, pool table, games console, premium coffee, fruit, snacks and soft drinks. Comprehensive benefits including private healthcare, dental cover, and more. A Garmin smartwatch to prioritise health and fitness. Perkbox employee benefits platform A culture that celebrates success, encourages innovation, and supports your professional and personal growth Are you the game changer we are looking for? If this sounds like the challenge you've been waiting for, we're excited to hear from you. Reach out to us, and schedule your chat with our team.
Following the acquisition of Brookson by People2.0, the responsibilities of the Data and Analytics team have significantly expanded. We are now seeking a skilled Data Engineer to join our dynamic team. As a Data Engineer within the Data and Analytics team, you will play a pivotal role in designing, maintaining, and optimising the data architecture for People2.0 Group. This architecture ensures the seamless flow of data from source systems to the Data Warehouse, providing a robust foundation of aggregated analytical base tables and operational sources. Our data architecture is critical in enabling People2.0 Group to become a data-driven organisation. Your responsibilities will include maintaining existing data pipelines, developing new branches within the architecture, and collaborating closely with stakeholders across the business. You will engage with stakeholders from various regions, including EMEA, US, and APAC, ensuring that the architecture aligns with regional and global requirements. Reporting directly to the Senior Data Engineer within the Data and Analytics team, you will work alongside internal and external stakeholders, depending on project requirements. Your ability to communicate effectively and adapt to different regions and business needs will be key to your success. This role offers an exciting opportunity to be part of a team that directly contributes to the data-driven evolution of People2.0 Group. Our Warrington office (WA1) is easily accessible by car and a 10-minute walk from the nearest train station. We offer hybrid working, with a minimum requirement of 2 days in the office and the flexibility to work from home the rest of the week. What will you be doing as Data Engineer: ETL Maintenance: Collaborating with the Senior Data Engineer to ensure that the ETL process between source systems and the Data Warehouse remains fully operational, with minimal downtime and blockages. Implementing new systems: Working with key stakeholders to integrate new systems and acquisitions into the People2.0 Data Architecture. This includes mapping fields to existing systems, evaluating master data management (MDM) opportunities, and building core data sources for end-user consumption. Building Data Marts: Working with analytical operations and business analyst to develop key data sources for business end users. This includes analytical base tables for MI, operational metrics for data integrity, Develop Native Databases: Working with the business and/or the Analytics team to build bespoke and native applications that require database structures. This includes designing, optimising and promoting it through the Development process. Improve Data Literacy: Work with the Senior Data Engineer to improve data literacy on end point architecture. Improving engagement, business buy-in and understanding of the data, thus promoting a self-serve analytical culture. What are the qualities that can help you thrive as a Data Engineer? Essential Experience and Qualifications: Strong SQL skills - Tables, Stored Procedures, performance tuning etc. Experience with Azure ETL tools - Azure data Factory / Synapse Strong experience in Data movement methodologies and standards, ELT & ETL. A self-motivated, enthusiastic problem solver, with the ability to work under pressure and prioritise workload in order to meet deadlines. Educated to degree level BSc in - for example - Computer Science, Mathematics, Engineering or other STEM A strong team player with empathy, humility and dedication to joint success and shared development. Desirable Experience and Qualifications: Experience with Databricks or Delta Lake architecture. Experience building architecture and Data Warehousing within the Microsoft Stack Experience in development Source control (e.g. Bit Bucket, Github) Experience in Low Code Analytical Tools (e.g. Alteryx) Experience in Power Platform Stack (Power BI, Power Automate) In Return for joining us as a Senior Data Engineer: Salary of £34,000 - £38,000, depending on experience 23 days annual leave, plus bank holidays Your birthday off 2 Press Pause Days (An opportunity to step back, breathe, and focus on your wellness - whatever that may look like) Hybrid working 5% company pension contribution after 3 months Access to free Financial Advice including Mortgages, and Savings Cyle2Work scheme Perkbox employee discounts Next Steps If you are interested in being considered for this opportunity, please apply with your CV highlighting your relevant skills in relation to the above criteria. Regardless of the outcome of your application, all candidates will be contacted, and we aim to do this within 3 working days.
05/12/2025
Full time
Following the acquisition of Brookson by People2.0, the responsibilities of the Data and Analytics team have significantly expanded. We are now seeking a skilled Data Engineer to join our dynamic team. As a Data Engineer within the Data and Analytics team, you will play a pivotal role in designing, maintaining, and optimising the data architecture for People2.0 Group. This architecture ensures the seamless flow of data from source systems to the Data Warehouse, providing a robust foundation of aggregated analytical base tables and operational sources. Our data architecture is critical in enabling People2.0 Group to become a data-driven organisation. Your responsibilities will include maintaining existing data pipelines, developing new branches within the architecture, and collaborating closely with stakeholders across the business. You will engage with stakeholders from various regions, including EMEA, US, and APAC, ensuring that the architecture aligns with regional and global requirements. Reporting directly to the Senior Data Engineer within the Data and Analytics team, you will work alongside internal and external stakeholders, depending on project requirements. Your ability to communicate effectively and adapt to different regions and business needs will be key to your success. This role offers an exciting opportunity to be part of a team that directly contributes to the data-driven evolution of People2.0 Group. Our Warrington office (WA1) is easily accessible by car and a 10-minute walk from the nearest train station. We offer hybrid working, with a minimum requirement of 2 days in the office and the flexibility to work from home the rest of the week. What will you be doing as Data Engineer: ETL Maintenance: Collaborating with the Senior Data Engineer to ensure that the ETL process between source systems and the Data Warehouse remains fully operational, with minimal downtime and blockages. Implementing new systems: Working with key stakeholders to integrate new systems and acquisitions into the People2.0 Data Architecture. This includes mapping fields to existing systems, evaluating master data management (MDM) opportunities, and building core data sources for end-user consumption. Building Data Marts: Working with analytical operations and business analyst to develop key data sources for business end users. This includes analytical base tables for MI, operational metrics for data integrity, Develop Native Databases: Working with the business and/or the Analytics team to build bespoke and native applications that require database structures. This includes designing, optimising and promoting it through the Development process. Improve Data Literacy: Work with the Senior Data Engineer to improve data literacy on end point architecture. Improving engagement, business buy-in and understanding of the data, thus promoting a self-serve analytical culture. What are the qualities that can help you thrive as a Data Engineer? Essential Experience and Qualifications: Strong SQL skills - Tables, Stored Procedures, performance tuning etc. Experience with Azure ETL tools - Azure data Factory / Synapse Strong experience in Data movement methodologies and standards, ELT & ETL. A self-motivated, enthusiastic problem solver, with the ability to work under pressure and prioritise workload in order to meet deadlines. Educated to degree level BSc in - for example - Computer Science, Mathematics, Engineering or other STEM A strong team player with empathy, humility and dedication to joint success and shared development. Desirable Experience and Qualifications: Experience with Databricks or Delta Lake architecture. Experience building architecture and Data Warehousing within the Microsoft Stack Experience in development Source control (e.g. Bit Bucket, Github) Experience in Low Code Analytical Tools (e.g. Alteryx) Experience in Power Platform Stack (Power BI, Power Automate) In Return for joining us as a Senior Data Engineer: Salary of £34,000 - £38,000, depending on experience 23 days annual leave, plus bank holidays Your birthday off 2 Press Pause Days (An opportunity to step back, breathe, and focus on your wellness - whatever that may look like) Hybrid working 5% company pension contribution after 3 months Access to free Financial Advice including Mortgages, and Savings Cyle2Work scheme Perkbox employee discounts Next Steps If you are interested in being considered for this opportunity, please apply with your CV highlighting your relevant skills in relation to the above criteria. Regardless of the outcome of your application, all candidates will be contacted, and we aim to do this within 3 working days.
Role: BI Manager Salary: 70,000 - 80,000 PA Plus Bonus and Benefits Location: Central Birmingham, West Midlands (Hybrid Working - 2 days per week onsite) We are currently working with a leading Midlands based services provider who require a technically strong Senior BI Manager with a good understanding of Azure Data and Data Engineering tools. Working as a key member of a newly formed Data Engineering team, the successful candidate will lead the design, development, and ongoing enhancement of the client's data and reporting infrastructure. You will be the strategic owner of the Azure Data Platform, overseeing services such as Azure Data Lake, Data Warehouse, Data Factory, Databricks, and Power BI. The technical focus is all Microsoft, primarily Azure so any Fabric experience would be very beneficial. Our client is looking for someone who is going to lead the function, and has previous experience doing this. Someone who really understands data and what it can be used for and challenge the business on what they need from the data and challenge the teams to produce the most effective data outputs for the business need so that it can improve and become a first-class function. You will need to be able to drive the direction of how data works for the organisation and the overall Data/BI strategy, design solutions that fit, and demonstrate what value data can bring to the company if it is used effectively. A technical background is essential to be able understand and bridge the gap between the Data Team and the Business environment so that the two collaborate effectively and are challenged both ways. Someone who can understand and appreciate both the technical side and the business strategy side. Our client offers a good, supportive environment which is going through a major transformation being driven by technology. Skills & experience required: Experience leading a BI function Expertise in Azure BI architecture and Cloud services Hands-on experience with Azure Fabric, SQL warehousing, DataLakes, Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities Experience in leading a BI team and a business through the development and transition to a Data Lake / Factory / Warehouse Technical BI development/architect background Benefits: Achievable bonus scheme 4% Pension Life Insurance 3 x salary 25 days annual leave plus statutory - 1 x extra day every year for the first 3 years Blue Light Card Medicash - includes discounted gym memberships etc. If your profile demonstrates strong and recent experience in the above areas - please submit your application ASAP to Jackie Dean at TXP for consideration. TXP takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.
05/12/2025
Full time
Role: BI Manager Salary: 70,000 - 80,000 PA Plus Bonus and Benefits Location: Central Birmingham, West Midlands (Hybrid Working - 2 days per week onsite) We are currently working with a leading Midlands based services provider who require a technically strong Senior BI Manager with a good understanding of Azure Data and Data Engineering tools. Working as a key member of a newly formed Data Engineering team, the successful candidate will lead the design, development, and ongoing enhancement of the client's data and reporting infrastructure. You will be the strategic owner of the Azure Data Platform, overseeing services such as Azure Data Lake, Data Warehouse, Data Factory, Databricks, and Power BI. The technical focus is all Microsoft, primarily Azure so any Fabric experience would be very beneficial. Our client is looking for someone who is going to lead the function, and has previous experience doing this. Someone who really understands data and what it can be used for and challenge the business on what they need from the data and challenge the teams to produce the most effective data outputs for the business need so that it can improve and become a first-class function. You will need to be able to drive the direction of how data works for the organisation and the overall Data/BI strategy, design solutions that fit, and demonstrate what value data can bring to the company if it is used effectively. A technical background is essential to be able understand and bridge the gap between the Data Team and the Business environment so that the two collaborate effectively and are challenged both ways. Someone who can understand and appreciate both the technical side and the business strategy side. Our client offers a good, supportive environment which is going through a major transformation being driven by technology. Skills & experience required: Experience leading a BI function Expertise in Azure BI architecture and Cloud services Hands-on experience with Azure Fabric, SQL warehousing, DataLakes, Databricks Track record in MI/BI product development using Agile and Waterfall methods Experience managing cross-functional teams and sprint activities Experience in leading a BI team and a business through the development and transition to a Data Lake / Factory / Warehouse Technical BI development/architect background Benefits: Achievable bonus scheme 4% Pension Life Insurance 3 x salary 25 days annual leave plus statutory - 1 x extra day every year for the first 3 years Blue Light Card Medicash - includes discounted gym memberships etc. If your profile demonstrates strong and recent experience in the above areas - please submit your application ASAP to Jackie Dean at TXP for consideration. TXP takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.
Senior Azure Data Engineer Hybrid - Work From Home and West London Circ £70,000 - £80,000 + Range of benefits A well-known and prestigious business is looking to add a Senior Azure Data Engineer to their data team. This is an exciting opportunity for a Data Engineer that's not just technical, but also enjoys directly engaging and collaborating with stakeholders from across business functions such as finance, operations, planning, manufacturing, retail, e-commerce etc. Having nearly completed the process of migrating data from their existing on-prem databases to an Azure Cloud based platform, the Senior Data Engineer will play a key role in helping make best use of the data by gathering and agreeing requirements with the business to build data solutions that align accordingly. Working with diverse data sets from multiple systems and overseeing their integration and optimisation will require raw development, management and optimisation of data pipelines using tools in the Azure Cloud. Our client has expanded rapidly and been transformed in recent years, they're an iconic business with a special work environment that's manifested a strong and positive culture amongst the whole workforce. This is a hybrid role where the postholder can work from home 2 or 3 days per week, the other days will be based onsite in West London just a few minutes walk from a Central Line tube station. The key responsibilities for the post include; Develop, construct, test and maintain data architectures within large scale data processing systems. Develop and manage data pipelines using Azure Data Factory, Delta Lake and Spark. Utilise Azure Cloud architecture knowledge to design and implement scalable data solutions. Utilise Spark, SQL, Python, R, and other data frameworks to manipulate data and gain a thorough understanding of the dataset's characteristics. Interact with API systems to query and retrieve data for analysis. Collaborate with business users / stakeholders to gather and agree requirements. To be considered for the post you'll need at least 5 years experience ideally with 1 or 2 years at a senior / lead level. You'll need to be goal driven and able to take ownership of work tasks without the need for constant supervision. You'll be engaging with multiple business areas so the ability to communicate effectively to understand requirements and build trusted relationships is a must. It's likely you'll have most, if not all the following: Experience as a Senior Data Engineer or similar Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Knowledge of querying API systems. Experience building and optimising ETL pipelines using Databricks. Strong problem-solving skills and attention to detail. Understanding of data governance and data quality principles. A degree in computer science, engineering, or equivalent experience. Salary will be dependent on experience and likely to be in the region of £70,000 - £80,000 although client may consider higher for outstanding candidate. Our client can also provide a vibrant, rewarding, and diverse work environment that supports career development. Candidates must be authorised to work in the UK and not require sponsoring either now or in the future. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. Young's Employment Services acts in the capacity of both an Employment Agent and Employment Business.
05/12/2025
Full time
Senior Azure Data Engineer Hybrid - Work From Home and West London Circ £70,000 - £80,000 + Range of benefits A well-known and prestigious business is looking to add a Senior Azure Data Engineer to their data team. This is an exciting opportunity for a Data Engineer that's not just technical, but also enjoys directly engaging and collaborating with stakeholders from across business functions such as finance, operations, planning, manufacturing, retail, e-commerce etc. Having nearly completed the process of migrating data from their existing on-prem databases to an Azure Cloud based platform, the Senior Data Engineer will play a key role in helping make best use of the data by gathering and agreeing requirements with the business to build data solutions that align accordingly. Working with diverse data sets from multiple systems and overseeing their integration and optimisation will require raw development, management and optimisation of data pipelines using tools in the Azure Cloud. Our client has expanded rapidly and been transformed in recent years, they're an iconic business with a special work environment that's manifested a strong and positive culture amongst the whole workforce. This is a hybrid role where the postholder can work from home 2 or 3 days per week, the other days will be based onsite in West London just a few minutes walk from a Central Line tube station. The key responsibilities for the post include; Develop, construct, test and maintain data architectures within large scale data processing systems. Develop and manage data pipelines using Azure Data Factory, Delta Lake and Spark. Utilise Azure Cloud architecture knowledge to design and implement scalable data solutions. Utilise Spark, SQL, Python, R, and other data frameworks to manipulate data and gain a thorough understanding of the dataset's characteristics. Interact with API systems to query and retrieve data for analysis. Collaborate with business users / stakeholders to gather and agree requirements. To be considered for the post you'll need at least 5 years experience ideally with 1 or 2 years at a senior / lead level. You'll need to be goal driven and able to take ownership of work tasks without the need for constant supervision. You'll be engaging with multiple business areas so the ability to communicate effectively to understand requirements and build trusted relationships is a must. It's likely you'll have most, if not all the following: Experience as a Senior Data Engineer or similar Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD. Experience with PySpark, Python, SQL and other data engineering development tools. Experience with metadata driven pipelines and SQL serverless data warehouses. Knowledge of querying API systems. Experience building and optimising ETL pipelines using Databricks. Strong problem-solving skills and attention to detail. Understanding of data governance and data quality principles. A degree in computer science, engineering, or equivalent experience. Salary will be dependent on experience and likely to be in the region of £70,000 - £80,000 although client may consider higher for outstanding candidate. Our client can also provide a vibrant, rewarding, and diverse work environment that supports career development. Candidates must be authorised to work in the UK and not require sponsoring either now or in the future. For further information, please send your CV to Wayne Young at Young's Employment Services Ltd. Young's Employment Services acts in the capacity of both an Employment Agent and Employment Business.
Head of Data Engineering Hybrid - Kent (3 Days per Week) Up to £130,000 + 30% Bonus + Benefits Are you an experienced data leader ready to take ownership of a large-scale data transformation? We're working with a leading UK financial services group that's on a major journey to modernise its data estate - and they're looking for a Head of Data Engineering to lead the migration from on-premise to a modern, Azure-based cloud platform. This is a high-impact leadership role, ideal for someone who combines strategic vision with hands-on technical credibility and thrives on building, scaling, and delivering enterprise-grade data solutions. Why this role? Lead the migration of legacy on-premise systems to Azure , driving one of the organisation's most strategic technology programmes. Shape and execute the data engineering roadmap , delivering scalable, secure, and compliant data solutions. Build and mentor a high-performing engineering team , embedding modern cloud-first practices. Hybrid flexibility: 3 days per week in the Kent office , with the rest remote. Excellent package: up to £130,000 + 30% bonus and comprehensive benefits. ? What you'll be doing: Leading the end-to-end migration from on-prem to Azure , defining architecture, governance, and delivery best practices. Designing, developing, and optimising data pipelines, integration frameworks, and ETL processes in Azure. Building and maintaining scalable solutions using Azure Data Lake, Synapse, Data Factory, and Databricks . Establishing robust data governance, quality, and lineage frameworks across all environments. Collaborating closely with data architecture, analytics, and IT to ensure a seamless transition and platform stability. Managing delivery across multiple workstreams, ensuring projects are on time, within budget, and high quality. Developing team capability - coaching engineers and fostering a culture of innovation and ownership. Presenting updates and strategic insights to senior leadership and executive stakeholders . ? What we're looking for: Proven track record leading data engineering teams through large-scale transformations. Strong, hands-on understanding of Azure data services - e.g. Synapse, Data Factory, Data Lake, Databricks, Purview . Direct experience migrating from on-premise environments to Azure , ideally within a regulated or financial services context. Deep technical knowledge of data architecture, ETL/ELT, and data modelling . Excellent coding skills in SQL and Python , with experience implementing DevOps for data and CI/CD. Strong leadership and stakeholder engagement - able to translate technical progress into business outcomes. Strategic thinker with a delivery mindset and the ability to influence at senior levels. ? Nice-to-haves: Experience with Snowflake or hybrid multi-cloud data solutions. Familiarity with banking or financial data frameworks such as BCBS239 or IRB. Background in agile delivery and infrastructure automation using Terraform or similar. Package & Benefits: Salary up to £130,000 + 30% annual bonus . Hybrid working - 3 days per week in Kent office . Private medical insurance, life assurance, and pension scheme.
05/12/2025
Full time
Head of Data Engineering Hybrid - Kent (3 Days per Week) Up to £130,000 + 30% Bonus + Benefits Are you an experienced data leader ready to take ownership of a large-scale data transformation? We're working with a leading UK financial services group that's on a major journey to modernise its data estate - and they're looking for a Head of Data Engineering to lead the migration from on-premise to a modern, Azure-based cloud platform. This is a high-impact leadership role, ideal for someone who combines strategic vision with hands-on technical credibility and thrives on building, scaling, and delivering enterprise-grade data solutions. Why this role? Lead the migration of legacy on-premise systems to Azure , driving one of the organisation's most strategic technology programmes. Shape and execute the data engineering roadmap , delivering scalable, secure, and compliant data solutions. Build and mentor a high-performing engineering team , embedding modern cloud-first practices. Hybrid flexibility: 3 days per week in the Kent office , with the rest remote. Excellent package: up to £130,000 + 30% bonus and comprehensive benefits. ? What you'll be doing: Leading the end-to-end migration from on-prem to Azure , defining architecture, governance, and delivery best practices. Designing, developing, and optimising data pipelines, integration frameworks, and ETL processes in Azure. Building and maintaining scalable solutions using Azure Data Lake, Synapse, Data Factory, and Databricks . Establishing robust data governance, quality, and lineage frameworks across all environments. Collaborating closely with data architecture, analytics, and IT to ensure a seamless transition and platform stability. Managing delivery across multiple workstreams, ensuring projects are on time, within budget, and high quality. Developing team capability - coaching engineers and fostering a culture of innovation and ownership. Presenting updates and strategic insights to senior leadership and executive stakeholders . ? What we're looking for: Proven track record leading data engineering teams through large-scale transformations. Strong, hands-on understanding of Azure data services - e.g. Synapse, Data Factory, Data Lake, Databricks, Purview . Direct experience migrating from on-premise environments to Azure , ideally within a regulated or financial services context. Deep technical knowledge of data architecture, ETL/ELT, and data modelling . Excellent coding skills in SQL and Python , with experience implementing DevOps for data and CI/CD. Strong leadership and stakeholder engagement - able to translate technical progress into business outcomes. Strategic thinker with a delivery mindset and the ability to influence at senior levels. ? Nice-to-haves: Experience with Snowflake or hybrid multi-cloud data solutions. Familiarity with banking or financial data frameworks such as BCBS239 or IRB. Background in agile delivery and infrastructure automation using Terraform or similar. Package & Benefits: Salary up to £130,000 + 30% annual bonus . Hybrid working - 3 days per week in Kent office . Private medical insurance, life assurance, and pension scheme.
Senior Data Engineer - Azure Data - Burton-on-Trent - Permanent - Hybrid Salary - £60,000 - £67,000 per annum This role requires 1 day / week in Burton-on-Trent, with hybrid working arrangements. Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer will come on board to support the Strategic Data Manager in establishing and managing an efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current with Azure technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy Crimson is acting as an employment agency regarding this vacancy JBRP1_UKTJ
05/12/2025
Full time
Senior Data Engineer - Azure Data - Burton-on-Trent - Permanent - Hybrid Salary - £60,000 - £67,000 per annum This role requires 1 day / week in Burton-on-Trent, with hybrid working arrangements. Our client is seeking a highly skilled Senior Data Engineer to join their dynamic IT team, based in Burton-on-Trent. The Senior Data Engineer will come on board to support the Strategic Data Manager in establishing and managing an efficient Business Intelligence technical service. Assisting in the advancement of our cloud-based data platforms, providing options for timely processing and cost-efficient solutions. A strong background in Azure Data Pipeline development is key for this position. Key Skills & Responsibilities: Build and manage pipelines using Azure Data Factory, Databricks, CI/CD, and Terraform. Optimisation of ETL processes for performance and cost-efficiency. Design scalable data models aligned with business needs. Azure data solutions for efficient data storage and retrieval. Ensure compliance with data protection laws (e.g., GDPR), implement encryption and access controls. Work with cross-functional teams and mentor junior engineers. Manage and tune Azure SQL Database instances. Proactively monitor pipelines and infrastructure for performance and reliability. Maintain technical documentation and lead knowledge-sharing initiatives. Deploy advanced analytics and machine learning solutions using Azure. Stay current with Azure technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as a product. Strong communication, empathy, determination, openness to innovation. Strong Microsoft Office 365 experience Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers! Crimson is acting as an employment agency regarding this vacancy Crimson is acting as an employment agency regarding this vacancy JBRP1_UKTJ
About the Organisation Our client is a specialist insurer and reinsurer operating globally, with a focus on complex commercial and industrial risks. The business combines deep sector expertise with advanced use of data, analytics, and modern technology to deliver informed, efficient, and fair underwriting decisions.The company is in a period of significant growth and is committed to maintaining a collaborative, inclusive, and high-performing culture. Employees are encouraged to ask questions, explore new ideas, work openly with others, and operate with clarity and simplicity. The environment is dynamic, supportive, and designed to enable long-term career progression. Role Summary Our client is seeking an experienced Technical Architect with strong expertise in integration architecture, systems design best practice, and API design. The role will take technical ownership of the organisation's enterprise technology landscape.This is a pivotal position within the company's scaling and modernisation programme. The successful candidate will act as the bridge between internally developed underwriting platforms, the data lakehouse and analytics estate, and a range of commercial off-the-shelf (COTS) applications used across operations, finance, and support functions.You will be responsible for defining standards, blueprints, and governance for how core systems interact, ensuring security, performance, scalability, and data quality across the entire ecosystem. Key Responsibilities Integration Architecture Define the enterprise-wide integration strategy, including the governance of integration patterns (such as synchronous APIs, event-driven architecture, asynchronous messaging, and batch ETL). Lead the design and documentation of internal and external APIs, ensuring best practice in RESTful design, versioning, and OpenAPI standards. Work with Engineering and Data teams to standardise the technical approach for messaging, data extraction, transformation, and load (ETL/ELT) processes across underwriting, finance, accounting, and data warehouse systems. Design secure, scalable, and auditable architectures for Generative AI, Agentic AI, and large language model (LLM) technologies. Collaborate with data scientists, engineers, and developers to integrate and deploy AI models from development through to production. Define security standards for all integration points, including OAuth, API key management, encryption, and network segmentation within an Azure environment. Platform Architecture Provide technical input into new platform selections and project implementations, ensuring alignment with architectural principles. Work closely with Engineering leadership on the design and evolution of the .NET and Angular technology stack, focusing on modularity, microservices, performance, and technical debt management. Collaborate with the Data Architecture function to ensure alignment between the enterprise architecture and the organisation's data platform, including optimisation of the Databricks environment. Establish and govern non-functional requirements (NFRs) covering performance, scalability, resilience, and disaster recovery. Technical Design & Governance Translate business strategy into an executable architecture roadmap. Conduct architectural and code reviews to ensure alignment with agreed standards. Present technical recommendations, solution designs, and trade-off considerations to both technical and non-technical stakeholders. Serve as the final escalation point for complex technical design challenges and technology selections. Mentor engineers across software, infrastructure, and data disciplines in architectural best practice and emerging technologies. Essential Experience & Skills At least 10 years in senior technical roles, including 5+ years as an architect specialising in software development, integration, and technical architecture. Advanced knowledge of API implementation, message queues (e.g., Azure Service Bus, Kafka), and event-driven architecture. Deep expertise in RESTful API design, API gateways (ideally Azure API Management), and the OpenAPI specification. Strong understanding of DevOps practices and hands-on experience with CI/CD tooling such as Azure DevOps or GitLab CI. Extensive knowledge of the Microsoft Azure ecosystem, covering IaaS and PaaS, with particular experience in Azure Databricks, Data Factory, and ADLS Gen2. Excellent communication and presentation skills, with the ability to influence diverse technical teams. Desirable Experience Background in the insurance, reinsurance, or wider financial services industry. Strong architectural understanding of the .NET/C# ecosystem and modern front-end frameworks (ideally Angular). Experience with data architecture concepts including relational, NoSQL, and data lake technologies. Knowledge of cloud-based AI architectures, including LLMs, Generative AI, and Agentic AI. Experience integrating proprietary systems with COTS finance or ERP platforms, particularly within general ledger, financial close, or regulatory reporting domains.
04/12/2025
Full time
About the Organisation Our client is a specialist insurer and reinsurer operating globally, with a focus on complex commercial and industrial risks. The business combines deep sector expertise with advanced use of data, analytics, and modern technology to deliver informed, efficient, and fair underwriting decisions.The company is in a period of significant growth and is committed to maintaining a collaborative, inclusive, and high-performing culture. Employees are encouraged to ask questions, explore new ideas, work openly with others, and operate with clarity and simplicity. The environment is dynamic, supportive, and designed to enable long-term career progression. Role Summary Our client is seeking an experienced Technical Architect with strong expertise in integration architecture, systems design best practice, and API design. The role will take technical ownership of the organisation's enterprise technology landscape.This is a pivotal position within the company's scaling and modernisation programme. The successful candidate will act as the bridge between internally developed underwriting platforms, the data lakehouse and analytics estate, and a range of commercial off-the-shelf (COTS) applications used across operations, finance, and support functions.You will be responsible for defining standards, blueprints, and governance for how core systems interact, ensuring security, performance, scalability, and data quality across the entire ecosystem. Key Responsibilities Integration Architecture Define the enterprise-wide integration strategy, including the governance of integration patterns (such as synchronous APIs, event-driven architecture, asynchronous messaging, and batch ETL). Lead the design and documentation of internal and external APIs, ensuring best practice in RESTful design, versioning, and OpenAPI standards. Work with Engineering and Data teams to standardise the technical approach for messaging, data extraction, transformation, and load (ETL/ELT) processes across underwriting, finance, accounting, and data warehouse systems. Design secure, scalable, and auditable architectures for Generative AI, Agentic AI, and large language model (LLM) technologies. Collaborate with data scientists, engineers, and developers to integrate and deploy AI models from development through to production. Define security standards for all integration points, including OAuth, API key management, encryption, and network segmentation within an Azure environment. Platform Architecture Provide technical input into new platform selections and project implementations, ensuring alignment with architectural principles. Work closely with Engineering leadership on the design and evolution of the .NET and Angular technology stack, focusing on modularity, microservices, performance, and technical debt management. Collaborate with the Data Architecture function to ensure alignment between the enterprise architecture and the organisation's data platform, including optimisation of the Databricks environment. Establish and govern non-functional requirements (NFRs) covering performance, scalability, resilience, and disaster recovery. Technical Design & Governance Translate business strategy into an executable architecture roadmap. Conduct architectural and code reviews to ensure alignment with agreed standards. Present technical recommendations, solution designs, and trade-off considerations to both technical and non-technical stakeholders. Serve as the final escalation point for complex technical design challenges and technology selections. Mentor engineers across software, infrastructure, and data disciplines in architectural best practice and emerging technologies. Essential Experience & Skills At least 10 years in senior technical roles, including 5+ years as an architect specialising in software development, integration, and technical architecture. Advanced knowledge of API implementation, message queues (e.g., Azure Service Bus, Kafka), and event-driven architecture. Deep expertise in RESTful API design, API gateways (ideally Azure API Management), and the OpenAPI specification. Strong understanding of DevOps practices and hands-on experience with CI/CD tooling such as Azure DevOps or GitLab CI. Extensive knowledge of the Microsoft Azure ecosystem, covering IaaS and PaaS, with particular experience in Azure Databricks, Data Factory, and ADLS Gen2. Excellent communication and presentation skills, with the ability to influence diverse technical teams. Desirable Experience Background in the insurance, reinsurance, or wider financial services industry. Strong architectural understanding of the .NET/C# ecosystem and modern front-end frameworks (ideally Angular). Experience with data architecture concepts including relational, NoSQL, and data lake technologies. Knowledge of cloud-based AI architectures, including LLMs, Generative AI, and Agentic AI. Experience integrating proprietary systems with COTS finance or ERP platforms, particularly within general ledger, financial close, or regulatory reporting domains.
Senior Data Engineering Consultant - £60,000 - Hybrid Key Responsibilities Lead, mentor, and develop a team of Technical Consultants. Manage resource planning, scheduling, and overall delivery workflows. Collaborate with Pre-sales, Commercial, and Project Management teams to scope and deliver projects. Contribute to technical delivery, designing scalable data solutions in Azure/Microsoft environments. Support cloud migrations, data lake builds, and ETL/ELT pipeline development. Ensure delivery follows best practices and internal standards. Skills & Experience Strong leadership and relationship-building skills. Experience guiding or managing technical teams. Deep hands-on experience in Data Engineering using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, and/or SQL Server. Expertise in SQL and Python for ETL/ELT development. Knowledge of data lakes, medallion lakehouse architecture, and large-scale dataset management. Solid understanding of BI, data warehousing, and database optimisation. To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
04/12/2025
Full time
Senior Data Engineering Consultant - £60,000 - Hybrid Key Responsibilities Lead, mentor, and develop a team of Technical Consultants. Manage resource planning, scheduling, and overall delivery workflows. Collaborate with Pre-sales, Commercial, and Project Management teams to scope and deliver projects. Contribute to technical delivery, designing scalable data solutions in Azure/Microsoft environments. Support cloud migrations, data lake builds, and ETL/ELT pipeline development. Ensure delivery follows best practices and internal standards. Skills & Experience Strong leadership and relationship-building skills. Experience guiding or managing technical teams. Deep hands-on experience in Data Engineering using Microsoft Fabric, Azure Databricks, Synapse, Data Factory, and/or SQL Server. Expertise in SQL and Python for ETL/ELT development. Knowledge of data lakes, medallion lakehouse architecture, and large-scale dataset management. Solid understanding of BI, data warehousing, and database optimisation. To apply for this role please submit your CV or contact Dillon Blackburn on or at . Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Senior Data Engineer - Azure Databricks/ SC Clearance - Contract Active SC Clearance is required for this position Hybrid working - 3 days / week on site required Up to £620 / day - Inside IR35 We are currently recruiting for a well experienced Senior Data Engineer, required for a leading global transformation consultancy, based in London. The Senior Data Engineer will be responsible for providing hands-on, technical expertise within an agile team. The ideal candidate will be well experienced in building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets Key skills and responsibilities: Design, build, and maintain scalable ETL pipelines for ingesting, transforming, and loading data from APIs, databases, and financial data sources into Azure Databricks. Optimize pipelines for performance, reliability, and cost, incorporating data quality checks. Develop complex transformations and processing logic using Spark (PySpark/Scala) for cleaning, enrichment, and aggregation, ensuring accuracy and consistency across the data lifecycle. Work extensively with Unity Catalog, Delta Lake, Spark SQL, and related services. Apply best practices for development, deployment, and workload optimization. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from relational databases, APIs, and streaming sources using best-practice patterns. Collaborate with API developers for seamless data exchange. Utilize Azure Purview for governance and quality monitoring. Implement lineage tracking, metadata management, and compliance with governance standards. Partner with data scientists, economists, and technical teams to translate requirements into solutions. Communicate effectively with technical and non-technical audiences. Participate in code reviews and knowledge-sharing sessions. Automate pipeline deployments and implement CI/CD processes in collaboration with DevOps teams. Promote best practices for automation and environment management. Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers!
04/12/2025
Contractor
Senior Data Engineer - Azure Databricks/ SC Clearance - Contract Active SC Clearance is required for this position Hybrid working - 3 days / week on site required Up to £620 / day - Inside IR35 We are currently recruiting for a well experienced Senior Data Engineer, required for a leading global transformation consultancy, based in London. The Senior Data Engineer will be responsible for providing hands-on, technical expertise within an agile team. The ideal candidate will be well experienced in building and optimising data pipelines, implementing data transformations, and ensuring data quality and reliability. This role requires a strong understanding of data engineering principles, big data technologies, cloud computing (specifically Azure), and experience working with large datasets Key skills and responsibilities: Design, build, and maintain scalable ETL pipelines for ingesting, transforming, and loading data from APIs, databases, and financial data sources into Azure Databricks. Optimize pipelines for performance, reliability, and cost, incorporating data quality checks. Develop complex transformations and processing logic using Spark (PySpark/Scala) for cleaning, enrichment, and aggregation, ensuring accuracy and consistency across the data lifecycle. Work extensively with Unity Catalog, Delta Lake, Spark SQL, and related services. Apply best practices for development, deployment, and workload optimization. Program in SQL, Python, R, YAML, and JavaScript. Integrate data from relational databases, APIs, and streaming sources using best-practice patterns. Collaborate with API developers for seamless data exchange. Utilize Azure Purview for governance and quality monitoring. Implement lineage tracking, metadata management, and compliance with governance standards. Partner with data scientists, economists, and technical teams to translate requirements into solutions. Communicate effectively with technical and non-technical audiences. Participate in code reviews and knowledge-sharing sessions. Automate pipeline deployments and implement CI/CD processes in collaboration with DevOps teams. Promote best practices for automation and environment management. Interested? Please submit your updated CV to Lewis Rushton at Crimson for immediate consideration. Not interested? Do you know someone who might be a perfect fit for this role? Refer a friend and earn £250 worth of vouchers!
Join a Microsoft Partner that invests in their people and offers benefits such as unlimited holiday, private healthcare and flexible working Senior Data Engineer £65,0000 Central London (Hybrid) Your new opportunity You'll be responsible for designing and delivering data solutions that help your customers unlock real value from their data. You'll be responsible for: Engaging with customers and understanding their requirements. Build secure, scalable pipelines and platforms. Working with technologies such as Databricks and Fabric to create ETL pipelines. Collaborating closely with clients and internal teams to make sure data systems are scalable, reliable, and aligned with business goals. What you'll bring Strong understanding of Python, Azure, Databricks and SQL. Experience in building and optimising ETL or ELT pipelines. Knowledge of Delta Lake and Spark for data processing and performance tuning. The ability to adapt quickly, as you'll be working across multiple client projects and sectors. Strong communication skills are essential - you'll be the bridge between technical teams and clients, translating complex requirements into actionable solutions. What's in it for you This organisation are bursting at the seams with opportunities and they've seen incredible growth over the last few years. Salary for this role is £65,000 basic and other benefits include: private healthcare, sponsored training, unlimited holidays, flexible working and lots more. This role is hybrid with occasional visits to the office in central London. What's Next? Curious to learn more about the exciting projects you could be involved in? Click apply today and we'll be in touch to discuss your application. Don't worry about how many applicants there are - I personally review every CV.
04/12/2025
Full time
Join a Microsoft Partner that invests in their people and offers benefits such as unlimited holiday, private healthcare and flexible working Senior Data Engineer £65,0000 Central London (Hybrid) Your new opportunity You'll be responsible for designing and delivering data solutions that help your customers unlock real value from their data. You'll be responsible for: Engaging with customers and understanding their requirements. Build secure, scalable pipelines and platforms. Working with technologies such as Databricks and Fabric to create ETL pipelines. Collaborating closely with clients and internal teams to make sure data systems are scalable, reliable, and aligned with business goals. What you'll bring Strong understanding of Python, Azure, Databricks and SQL. Experience in building and optimising ETL or ELT pipelines. Knowledge of Delta Lake and Spark for data processing and performance tuning. The ability to adapt quickly, as you'll be working across multiple client projects and sectors. Strong communication skills are essential - you'll be the bridge between technical teams and clients, translating complex requirements into actionable solutions. What's in it for you This organisation are bursting at the seams with opportunities and they've seen incredible growth over the last few years. Salary for this role is £65,000 basic and other benefits include: private healthcare, sponsored training, unlimited holidays, flexible working and lots more. This role is hybrid with occasional visits to the office in central London. What's Next? Curious to learn more about the exciting projects you could be involved in? Click apply today and we'll be in touch to discuss your application. Don't worry about how many applicants there are - I personally review every CV.
Senior Data Engineer - Azure & Databricks Lakehouse Glasgow (3/4 days onsite) Exclusive Role with a Leading UK Consumer Business A rapidly scaling UK consumer brand is undertaking a major data modernisation programme-moving away from legacy systems, manual Excel reporting and fragmented data sources into a fully automated Azure Enterprise Landing Zone + Databricks Lakehouse . They are building a modern data platform from the ground up using Lakeflow Declarative Pipelines , Unity Catalog , and Azure Data Factory , and this role sits right at the heart of that transformation. This is a rare opportunity to join early, influence architecture, and help define engineering standards, pipelines, curated layers and best practices that will support Operations, Finance, Sales, Logistics and Customer Care. If you want to build a best-in-class Lakehouse from scratch-this is the one. ? What You'll Be Doing Lakehouse Engineering (Azure + Databricks) Engineer scalable ELT pipelines using Lakeflow Declarative Pipelines , PySpark , and Spark SQL across a full Medallion Architecture (Bronze ? Silver ? Gold) . Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics, operations). Deliver star schemas, harmonisation logic, SCDs and business marts to power high-performance Power BI datasets . Apply governance, lineage and fine-grained permissions via Unity Catalog . Orchestration & Observability Design and optimise orchestration using Lakeflow Workflows and Azure Data Factory . Implement monitoring, alerting, SLAs/SLIs, runbooks and cost-optimisation across the platform. DevOps & Platform Engineering Build CI/CD pipelines in Azure DevOps for notebooks, Lakeflow pipelines, SQL models and ADF artefacts. Ensure secure, enterprise-grade platform operation across Dev ? Prod , using private endpoints, managed identities and Key Vault. Contribute to platform standards, design patterns, code reviews and future roadmap. Collaboration & Delivery Work closely with BI/Analytics teams to deliver curated datasets powering dashboards across the organisation. Influence architecture decisions and uplift engineering maturity within a growing data function. ? Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric ? What We're Looking For Experience 5-8+ years of Data Engineering with 2-3+ years delivering production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines, reprocessing, backfills. Mindset Strong grounding in secure Azure Landing Zone patterns . Comfort with Git, CI/CD, automated deployments and modern engineering standards. Clear communicator who can translate technical decisions into business outcomes. Nice to Have Databricks Certified Data Engineer Associate Streaming ingestion experience (Auto Loader, structured streaming, watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model / Direct Lake optimisation
04/12/2025
Full time
Senior Data Engineer - Azure & Databricks Lakehouse Glasgow (3/4 days onsite) Exclusive Role with a Leading UK Consumer Business A rapidly scaling UK consumer brand is undertaking a major data modernisation programme-moving away from legacy systems, manual Excel reporting and fragmented data sources into a fully automated Azure Enterprise Landing Zone + Databricks Lakehouse . They are building a modern data platform from the ground up using Lakeflow Declarative Pipelines , Unity Catalog , and Azure Data Factory , and this role sits right at the heart of that transformation. This is a rare opportunity to join early, influence architecture, and help define engineering standards, pipelines, curated layers and best practices that will support Operations, Finance, Sales, Logistics and Customer Care. If you want to build a best-in-class Lakehouse from scratch-this is the one. ? What You'll Be Doing Lakehouse Engineering (Azure + Databricks) Engineer scalable ELT pipelines using Lakeflow Declarative Pipelines , PySpark , and Spark SQL across a full Medallion Architecture (Bronze ? Silver ? Gold) . Implement ingestion patterns for files, APIs, SaaS platforms (e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics, operations). Deliver star schemas, harmonisation logic, SCDs and business marts to power high-performance Power BI datasets . Apply governance, lineage and fine-grained permissions via Unity Catalog . Orchestration & Observability Design and optimise orchestration using Lakeflow Workflows and Azure Data Factory . Implement monitoring, alerting, SLAs/SLIs, runbooks and cost-optimisation across the platform. DevOps & Platform Engineering Build CI/CD pipelines in Azure DevOps for notebooks, Lakeflow pipelines, SQL models and ADF artefacts. Ensure secure, enterprise-grade platform operation across Dev ? Prod , using private endpoints, managed identities and Key Vault. Contribute to platform standards, design patterns, code reviews and future roadmap. Collaboration & Delivery Work closely with BI/Analytics teams to deliver curated datasets powering dashboards across the organisation. Influence architecture decisions and uplift engineering maturity within a growing data function. ? Tech Stack You'll Work With Databricks : Lakeflow Declarative Pipelines, Workflows, Unity Catalog, SQL Warehouses Azure : ADLS Gen2, Data Factory, Key Vault, vNets & Private Endpoints Languages : PySpark, Spark SQL, Python, Git DevOps : Azure DevOps Repos, Pipelines, CI/CD Analytics : Power BI, Fabric ? What We're Looking For Experience 5-8+ years of Data Engineering with 2-3+ years delivering production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines, reprocessing, backfills. Mindset Strong grounding in secure Azure Landing Zone patterns . Comfort with Git, CI/CD, automated deployments and modern engineering standards. Clear communicator who can translate technical decisions into business outcomes. Nice to Have Databricks Certified Data Engineer Associate Streaming ingestion experience (Auto Loader, structured streaming, watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model / Direct Lake optimisation
Senior DataBricks Engineer - £70,000 - Hybrid We're looking for a hands-on Senior Databricks Engineer to lead the delivery of scalable data solutions within an Agile environment. Working closely with the Data Product Manager and Data Architect, you will shape and develop our data platform, delivering high-quality pipelines and insights that support strategic decision-making. You will also manage and coach a small team of Data Engineers, driving best practice, consistency, and governance. Key Responsibilities Translate business strategy into data solutions and ensure alignment with product goals. Provide technical leadership, breaking initiatives into Features, Epics, and Stories and setting engineering standards. Collaborate with the Data Architect to design and implement data architecture and build plans. Build and maintain scalable data pipelines, ETL/ELT processes, and large-scale data workflows. Optimise data systems for performance, reliability, and scalability. Implement data quality processes and maintain data models, schemas, and documentation. Operate CI/CD practices in Azure DevOps and contribute to Agile sprint cycles. Troubleshoot and resolve pipeline issues promptly. Stay current with industry trends and recommend improvements. Ensure adherence to governance standards. Line-manage and mentor a small team of Data Engineers. What We're Looking For Extensive Databricks experience, including Unity Catalog. Strong skills in Python, Spark, SQL and experience with SQL databases. Terraform experience for cloud infrastructure as code. Experience with Azure and workflow tools (Airflow, ADF). Excellent problem-solving ability, communication skills, and attention to detail. Experience across Waterfall and Agile methodologies. Curious, inclusive, and committed to continuous learning. To apply for this role please submit your CV or contact Dillon Blackburn (see below) Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
03/12/2025
Full time
Senior DataBricks Engineer - £70,000 - Hybrid We're looking for a hands-on Senior Databricks Engineer to lead the delivery of scalable data solutions within an Agile environment. Working closely with the Data Product Manager and Data Architect, you will shape and develop our data platform, delivering high-quality pipelines and insights that support strategic decision-making. You will also manage and coach a small team of Data Engineers, driving best practice, consistency, and governance. Key Responsibilities Translate business strategy into data solutions and ensure alignment with product goals. Provide technical leadership, breaking initiatives into Features, Epics, and Stories and setting engineering standards. Collaborate with the Data Architect to design and implement data architecture and build plans. Build and maintain scalable data pipelines, ETL/ELT processes, and large-scale data workflows. Optimise data systems for performance, reliability, and scalability. Implement data quality processes and maintain data models, schemas, and documentation. Operate CI/CD practices in Azure DevOps and contribute to Agile sprint cycles. Troubleshoot and resolve pipeline issues promptly. Stay current with industry trends and recommend improvements. Ensure adherence to governance standards. Line-manage and mentor a small team of Data Engineers. What We're Looking For Extensive Databricks experience, including Unity Catalog. Strong skills in Python, Spark, SQL and experience with SQL databases. Terraform experience for cloud infrastructure as code. Experience with Azure and workflow tools (Airflow, ADF). Excellent problem-solving ability, communication skills, and attention to detail. Experience across Waterfall and Agile methodologies. Curious, inclusive, and committed to continuous learning. To apply for this role please submit your CV or contact Dillon Blackburn (see below) Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
Deerfoot Recruitment Solutions Limited
City, London
Data Engineering Technical Lead Global Investment Bank London - Hybrid Permanent - Excellent Package + Benefits We are working with one of the world's leading banking groups, who we have partnered with for 15 years. We are seeking an experienced Data Architect / EDM Developer / Data Engineering Lead to join their International Technology team in London. You will be a key part of the Architecture, Middleware, Data & Enterprise Services (AMD) division, driving data engineering, integration and automation initiatives across our clients EMEA banking and securities entities. This is a hands-on leadership role, combining technical expertise with mentoring and team leadership. Key Responsibilities Architect, design and deliver enterprise-wide EDM and data solutions. Lead and mentor EDM developers, ensuring high-quality, cost-effective delivery. Drive data innovation, automation and best practices across EMEA. Translate business requirements into functional and technical designs. Ensure compliance with SDLC, governance, and risk policies. Skills & Experience - Essential Strong SQL Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering / ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery experience in Financial Services / Banking sector. Deep understanding of SDLC, systems integration, and data warehousing. Ability to gather requirements and liaise effectively with business stakeholders. Desirable Skills Cloud (AWS / Azure), Python, PowerShell, APIs. Data pipelines, lineage, automation. BI tools (Power BI, Tableau, SSRS). Modern data architectures (lakehouse, data mesh). CI/CD, GitHub, Control-M, dbt/Databricks. This is an opportunity to join a global top-5 bank with long-term stability, world-class resources, and clear career progression routes. Enterprise Data Architect, EDM Developer, Data Engineering Lead, Data Architect, ETL Developer, Data Solutions Architect, Senior Data Engineer (Financial Services). Apply today for full details. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
02/12/2025
Full time
Data Engineering Technical Lead Global Investment Bank London - Hybrid Permanent - Excellent Package + Benefits We are working with one of the world's leading banking groups, who we have partnered with for 15 years. We are seeking an experienced Data Architect / EDM Developer / Data Engineering Lead to join their International Technology team in London. You will be a key part of the Architecture, Middleware, Data & Enterprise Services (AMD) division, driving data engineering, integration and automation initiatives across our clients EMEA banking and securities entities. This is a hands-on leadership role, combining technical expertise with mentoring and team leadership. Key Responsibilities Architect, design and deliver enterprise-wide EDM and data solutions. Lead and mentor EDM developers, ensuring high-quality, cost-effective delivery. Drive data innovation, automation and best practices across EMEA. Translate business requirements into functional and technical designs. Ensure compliance with SDLC, governance, and risk policies. Skills & Experience - Essential Strong SQL Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering / ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery experience in Financial Services / Banking sector. Deep understanding of SDLC, systems integration, and data warehousing. Ability to gather requirements and liaise effectively with business stakeholders. Desirable Skills Cloud (AWS / Azure), Python, PowerShell, APIs. Data pipelines, lineage, automation. BI tools (Power BI, Tableau, SSRS). Modern data architectures (lakehouse, data mesh). CI/CD, GitHub, Control-M, dbt/Databricks. This is an opportunity to join a global top-5 bank with long-term stability, world-class resources, and clear career progression routes. Enterprise Data Architect, EDM Developer, Data Engineering Lead, Data Architect, ETL Developer, Data Solutions Architect, Senior Data Engineer (Financial Services). Apply today for full details. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.
Senior DataBricks Engineer - 70,000 - Hybrid We're looking for a hands-on Senior Databricks Engineer to lead the delivery of scalable data solutions within an Agile environment. Working closely with the Data Product Manager and Data Architect, you will shape and develop our data platform, delivering high-quality pipelines and insights that support strategic decision-making. You will also manage and coach a small team of Data Engineers, driving best practice, consistency, and governance. Key Responsibilities Translate business strategy into data solutions and ensure alignment with product goals. Provide technical leadership, breaking initiatives into Features, Epics, and Stories and setting engineering standards. Collaborate with the Data Architect to design and implement data architecture and build plans. Build and maintain scalable data pipelines, ETL/ELT processes, and large-scale data workflows. Optimise data systems for performance, reliability, and scalability. Implement data quality processes and maintain data models, schemas, and documentation. Operate CI/CD practices in Azure DevOps and contribute to Agile sprint cycles. Troubleshoot and resolve pipeline issues promptly. Stay current with industry trends and recommend improvements. Ensure adherence to governance standards. Line-manage and mentor a small team of Data Engineers. What We're Looking For Extensive Databricks experience, including Unity Catalog. Strong skills in Python, Spark, SQL and experience with SQL databases. Terraform experience for cloud infrastructure as code. Experience with Azure and workflow tools (Airflow, ADF). Excellent problem-solving ability, communication skills, and attention to detail. Experience across Waterfall and Agile methodologies. Curious, inclusive, and committed to continuous learning. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
02/12/2025
Full time
Senior DataBricks Engineer - 70,000 - Hybrid We're looking for a hands-on Senior Databricks Engineer to lead the delivery of scalable data solutions within an Agile environment. Working closely with the Data Product Manager and Data Architect, you will shape and develop our data platform, delivering high-quality pipelines and insights that support strategic decision-making. You will also manage and coach a small team of Data Engineers, driving best practice, consistency, and governance. Key Responsibilities Translate business strategy into data solutions and ensure alignment with product goals. Provide technical leadership, breaking initiatives into Features, Epics, and Stories and setting engineering standards. Collaborate with the Data Architect to design and implement data architecture and build plans. Build and maintain scalable data pipelines, ETL/ELT processes, and large-scale data workflows. Optimise data systems for performance, reliability, and scalability. Implement data quality processes and maintain data models, schemas, and documentation. Operate CI/CD practices in Azure DevOps and contribute to Agile sprint cycles. Troubleshoot and resolve pipeline issues promptly. Stay current with industry trends and recommend improvements. Ensure adherence to governance standards. Line-manage and mentor a small team of Data Engineers. What We're Looking For Extensive Databricks experience, including Unity Catalog. Strong skills in Python, Spark, SQL and experience with SQL databases. Terraform experience for cloud infrastructure as code. Experience with Azure and workflow tools (Airflow, ADF). Excellent problem-solving ability, communication skills, and attention to detail. Experience across Waterfall and Agile methodologies. Curious, inclusive, and committed to continuous learning. To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed). Tenth Revolution Group are the go-to recruiter for Data & AI roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, and the London Fabric User Group. We are the global leaders in Data & AI recruitment.
About Us Makutu designs, builds and supports Microsoft Azure cloud data platforms. We are a Microsoft Solutions Partner (Azure Data & AI) and are busy building a talented team with relevant skills to deliver industry leading data platforms for our customers. The Role The Data Engineer role is key to building and growing the in-house technical team at Makutu. The role will provide the successful applicants with the opportunity for significant career development while working with a range of large businesses to whom data is critical to their success. Working as part of the team and with the customer, you'll require excellent written and verbal English language and communication skills. Big growth plans are in place to build a broader and deeper technical capability with a focus on the Microsoft Azure technology stack. The position of Data Engineer is a key role in the wider capability of our team. Occasional visits to our Head Office and customers sites will be required. Key responsibilities: Identify, design, and implement working practices across data pipelines, data architectures, testing and deployment Understand complex business requirements and providing solutions to business problems Understand modern data architecture approaches and associated cloud focused solutions Defining data engineering best practice and sharing across the organisation Collaborating with the wider team on data strategy Skills and experience: A relevant Bachelors degree in Computing, Mathematics, Data Science or similar (ideal but not essential) A Masters degree in Data Science (ideal but not essential) Experience building data pipelines with modern practices including the use of cloud native technologies, DevOps practices, CI/CD pipelines and agile delivery Experience with data modelling, data warehousing, data lake solutions Able to communicate effectively with senior stakeholders. Successful candidates will likely posses Azure certifications such as DP-600 and/or DP-700. Also, applicants will have experience working with some of the following technologies: Power BI Power Apps Blob storage Synapse Azure Data Factory (ADF) IOT Hub SQL Server Azure Data Lake Storage Azure Databricks Purview Power Platform Python
02/12/2025
Full time
About Us Makutu designs, builds and supports Microsoft Azure cloud data platforms. We are a Microsoft Solutions Partner (Azure Data & AI) and are busy building a talented team with relevant skills to deliver industry leading data platforms for our customers. The Role The Data Engineer role is key to building and growing the in-house technical team at Makutu. The role will provide the successful applicants with the opportunity for significant career development while working with a range of large businesses to whom data is critical to their success. Working as part of the team and with the customer, you'll require excellent written and verbal English language and communication skills. Big growth plans are in place to build a broader and deeper technical capability with a focus on the Microsoft Azure technology stack. The position of Data Engineer is a key role in the wider capability of our team. Occasional visits to our Head Office and customers sites will be required. Key responsibilities: Identify, design, and implement working practices across data pipelines, data architectures, testing and deployment Understand complex business requirements and providing solutions to business problems Understand modern data architecture approaches and associated cloud focused solutions Defining data engineering best practice and sharing across the organisation Collaborating with the wider team on data strategy Skills and experience: A relevant Bachelors degree in Computing, Mathematics, Data Science or similar (ideal but not essential) A Masters degree in Data Science (ideal but not essential) Experience building data pipelines with modern practices including the use of cloud native technologies, DevOps practices, CI/CD pipelines and agile delivery Experience with data modelling, data warehousing, data lake solutions Able to communicate effectively with senior stakeholders. Successful candidates will likely posses Azure certifications such as DP-600 and/or DP-700. Also, applicants will have experience working with some of the following technologies: Power BI Power Apps Blob storage Synapse Azure Data Factory (ADF) IOT Hub SQL Server Azure Data Lake Storage Azure Databricks Purview Power Platform Python
Senior Data Engineer Salary: Up to £70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and cloud-first architecture, they are looking to bring on a Data Engineer to help design and deliver impactful data solutions using Azure. This is a hands-on role where you will work across the full data stack, collaborating with architects, analysts, and stakeholders to build a future-ready platform that drives insight and decision-making. In this role, you will be responsible for: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring data models are optimised for performance and reusability. To be successful in this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse and Data Factory. Reporting experience with Power BI. Strong understanding of SQL, Python, or PySpark. Knowledge of the Azure data platform including Azure Data Lake Storage, Azure SQL Data Warehouse, or Azure Databricks. Some of the package/role details include: Salary up to £70,000 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.
28/11/2025
Full time
Senior Data Engineer Salary: Up to £70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and cloud-first architecture, they are looking to bring on a Data Engineer to help design and deliver impactful data solutions using Azure. This is a hands-on role where you will work across the full data stack, collaborating with architects, analysts, and stakeholders to build a future-ready platform that drives insight and decision-making. In this role, you will be responsible for: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring data models are optimised for performance and reusability. To be successful in this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse and Data Factory. Reporting experience with Power BI. Strong understanding of SQL, Python, or PySpark. Knowledge of the Azure data platform including Azure Data Lake Storage, Azure SQL Data Warehouse, or Azure Databricks. Some of the package/role details include: Salary up to £70,000 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.
Senior Data Engineer Salary: Up to 70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and cloud-first architecture, they are looking to bring on a Data Engineer to help design and deliver impactful data solutions using Azure. This is a hands-on role where you will work across the full data stack, collaborating with architects, analysts, and stakeholders to build a future-ready platform that drives insight and decision-making. In this role, you will be responsible for: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring data models are optimised for performance and reusability. To be successful in this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse and Data Factory. Reporting experience with Power BI. Strong understanding of SQL, Python, or PySpark. Knowledge of the Azure data platform including Azure Data Lake Storage, Azure SQL Data Warehouse, or Azure Databricks. Some of the package/role details include: Salary up to 70,000 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.
28/11/2025
Full time
Senior Data Engineer Salary: Up to 70,000 I am working with a forward-thinking organisation that is modernising its data platform to support scalable analytics and business intelligence across the Group. With a strong focus on Microsoft technologies and cloud-first architecture, they are looking to bring on a Data Engineer to help design and deliver impactful data solutions using Azure. This is a hands-on role where you will work across the full data stack, collaborating with architects, analysts, and stakeholders to build a future-ready platform that drives insight and decision-making. In this role, you will be responsible for: Building and managing data pipelines using Azure Data Factory and related services. Building and maintaining data lakes, data warehouses, and ETL/ELT processes. Designing scalable data solutions and models for reporting in Power BI. Supporting data migration from legacy systems into the new platform. Ensuring data models are optimised for performance and reusability. To be successful in this role, you will have: Hands-on experience creating data pipelines using Azure services such as Synapse and Data Factory. Reporting experience with Power BI. Strong understanding of SQL, Python, or PySpark. Knowledge of the Azure data platform including Azure Data Lake Storage, Azure SQL Data Warehouse, or Azure Databricks. Some of the package/role details include: Salary up to 70,000 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.
