Job Description: Data Engineer Location: London/Hybrid Office two+ days per week We re hiring data engineers who want to take ownership in a fast-scaling startup About Clariti AI Clariti AI is a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages and savings. Our pricing software guides clients to price recommendations that are worth millions of Pounds or Euros in additional revenue. This is an exciting time to join the company, with a growing set of clients in the UK and Ireland. After recent successes, Clariti AI has built a very promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable. Data Engineer This data engineer role will play a key role in helping us improve the production quality of our software as we scale. Our software offering has a significant financial impact for our clients and needs to be outstanding for our clients to get value. As an early joiner, the Data Engineer role is key, and provides multiple opportunities for the right person to grow significantly. There are many things to focus on depending on experience and interests. The role is all about pro-active "building and improving", whether that is scaling our infrastructure as we take on more clients and larger clients, streamlining and automating data refresh processes, improving our data security, building and deploying machine learning models, or getting involved with client pitches. What you'll be working on Building, optimising, and deploying price optimization machine learning ETL/ELT pipelines and data processes. Improving and adapting our data infrastructure and code base as we scale including collaboration, security, scalability, efficiency, automation and auditability. Interacting with new clients on client pitches, and working with existing clients to onboard our software, offering engineering and pricing expertise. Essentials : Strong academic background with a minimum bachelor s or master s degree in a STEM subject (Computer Science, Mathematics or Engineering) At least 2 years experience working as a data engineer (ideally consulting / financial services) salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS / GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding of DAG (Directed Acyclic Graphs) and their role in pipeline orchestration It would be nice if you could bring (desirables): Professional experience with PySpark, MySQL, Docker, Kubernetes Experience with best-practice pipeline orchestration software (Airflow, Dagster). Experience migrating code from prototype notebooks to .py, while maintaining logic and transparency of underlying code Owned a project across a whole software product lifecycle, from data infrastructure, to model development and deployment, to front-end integration Experience of pricing analytics and/or optimization ideally in retail banking Experience in producing PowerPoint presentations / reports and presenting to clients or colleagues Willingness to get involved in all parts of the business we are a small company so we all wear many hats An entrepreneurial spirit and drive to work in an early-stage start-up that directly rewards impact Tech stack: Platform: We build everything in Azure (but sometimes need to work in other cloud providers like AWS depending on client s needs). Backend We develop all our code in Python Front-end MySQL and jQuery/React What we offer A highly competitive salary A genuinely compelling profit share scheme, with the potential to own a significant stake in the business Equity options that deliver significant gains if the company is acquired Flexible working hours Work anywhere for up to two months a year A significant opportunity to grow quickly with regular performance-based promotions and pay increases 25 days per year holiday allowance, increasing by one day per year after two years service to 30 days Other We cannot sponsor visas, so only applicants with the permanent right to work in the UK will be considered Successful applicants should be willing to work in London up to two days a week and should be willing to travel to clients occasionally
21/09/2026
Full time
Job Description: Data Engineer Location: London/Hybrid Office two+ days per week We re hiring data engineers who want to take ownership in a fast-scaling startup About Clariti AI Clariti AI is a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages and savings. Our pricing software guides clients to price recommendations that are worth millions of Pounds or Euros in additional revenue. This is an exciting time to join the company, with a growing set of clients in the UK and Ireland. After recent successes, Clariti AI has built a very promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable. Data Engineer This data engineer role will play a key role in helping us improve the production quality of our software as we scale. Our software offering has a significant financial impact for our clients and needs to be outstanding for our clients to get value. As an early joiner, the Data Engineer role is key, and provides multiple opportunities for the right person to grow significantly. There are many things to focus on depending on experience and interests. The role is all about pro-active "building and improving", whether that is scaling our infrastructure as we take on more clients and larger clients, streamlining and automating data refresh processes, improving our data security, building and deploying machine learning models, or getting involved with client pitches. What you'll be working on Building, optimising, and deploying price optimization machine learning ETL/ELT pipelines and data processes. Improving and adapting our data infrastructure and code base as we scale including collaboration, security, scalability, efficiency, automation and auditability. Interacting with new clients on client pitches, and working with existing clients to onboard our software, offering engineering and pricing expertise. Essentials : Strong academic background with a minimum bachelor s or master s degree in a STEM subject (Computer Science, Mathematics or Engineering) At least 2 years experience working as a data engineer (ideally consulting / financial services) salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS / GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding of DAG (Directed Acyclic Graphs) and their role in pipeline orchestration It would be nice if you could bring (desirables): Professional experience with PySpark, MySQL, Docker, Kubernetes Experience with best-practice pipeline orchestration software (Airflow, Dagster). Experience migrating code from prototype notebooks to .py, while maintaining logic and transparency of underlying code Owned a project across a whole software product lifecycle, from data infrastructure, to model development and deployment, to front-end integration Experience of pricing analytics and/or optimization ideally in retail banking Experience in producing PowerPoint presentations / reports and presenting to clients or colleagues Willingness to get involved in all parts of the business we are a small company so we all wear many hats An entrepreneurial spirit and drive to work in an early-stage start-up that directly rewards impact Tech stack: Platform: We build everything in Azure (but sometimes need to work in other cloud providers like AWS depending on client s needs). Backend We develop all our code in Python Front-end MySQL and jQuery/React What we offer A highly competitive salary A genuinely compelling profit share scheme, with the potential to own a significant stake in the business Equity options that deliver significant gains if the company is acquired Flexible working hours Work anywhere for up to two months a year A significant opportunity to grow quickly with regular performance-based promotions and pay increases 25 days per year holiday allowance, increasing by one day per year after two years service to 30 days Other We cannot sponsor visas, so only applicants with the permanent right to work in the UK will be considered Successful applicants should be willing to work in London up to two days a week and should be willing to travel to clients occasionally
Job Description: Data Engineer Location: London/Hybrid - Office two+ days per week We're hiring data engineers who want to take ownership in a fast-scaling startup About Clariti AI Clariti AI is a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages and savings. Our pricing software guides clients to price recommendations that are worth millions of Pounds or Euros in additional revenue. This is an exciting time to join the company, with a growing set of clients in the UK and Ireland. After recent successes, Clariti AI has built a very promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable. Data Engineer This data engineer role will play a key role in helping us improve the production quality of our software as we scale. Our software offering has a significant financial impact for our clients and needs to be outstanding for our clients to get value. As an early joiner, the Data Engineer role is key, and provides multiple opportunities for the right person to grow significantly. There are many things to focus on depending on experience and interests. The role is all about pro-active "building and improving", whether that is scaling our infrastructure as we take on more clients and larger clients, streamlining and automating data refresh processes, improving our data security, building and deploying machine learning models, or getting involved with client pitches. What you'll be working on Building, optimising, and deploying price optimization machine learning ETL/ELT pipelines and data processes. Improving and adapting our data infrastructure and code base as we scale - including collaboration, security, scalability, efficiency, automation and auditability. Interacting with new clients on client pitches, and working with existing clients to onboard our software, offering engineering and pricing expertise. Essentials: Strong academic background with a minimum bachelor's or master's degree in a STEM subject (Computer Science, Mathematics or Engineering) At least 2 years' experience working as a data engineer (ideally consulting / financial services) - salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS / GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding of DAG (Directed Acyclic Graphs) and their role in pipeline orchestration It would be nice if you could bring (desirables): Professional experience with PySpark, MySQL, Docker, Kubernetes Experience with best-practice pipeline orchestration software (Airflow, Dagster). Experience migrating code from prototype notebooks to .py, while maintaining logic and transparency of underlying code Owned a project across a whole software product lifecycle, from data infrastructure, to model development and deployment, to front-end integration Experience of pricing analytics and/or optimization ideally in retail banking Experience in producing PowerPoint presentations / reports and presenting to clients or colleagues Willingness to get involved in all parts of the business - we are a small company so we all wear many hats An entrepreneurial spirit and drive to work in an early-stage start-up that directly rewards impact Tech stack: Platform: We build everything in Azure (but sometimes need to work in other cloud providers like AWS depending on client's needs). Backend - We develop all our code in Python Front-end - MySQL and jQuery/React What we offer A highly competitive salary A genuinely compelling profit share scheme, with the potential to own a significant stake in the business Equity options that deliver significant gains if the company is acquired Flexible working hours "Work anywhere" for up to two months a year A significant opportunity to grow quickly with regular performance-based promotions and pay increases 25 days per year holiday allowance, increasing by one day per year after two years' service to 30 days Other We cannot sponsor visas, so only applicants with the permanent right to work in the UK will be considered Successful applicants should be willing to work in London up to two days a week and should be willing to travel to clients occasionally
14/09/2026
Full time
Job Description: Data Engineer Location: London/Hybrid - Office two+ days per week We're hiring data engineers who want to take ownership in a fast-scaling startup About Clariti AI Clariti AI is a B2B SaaS company providing price optimisation software to retail banks. We help banks make pricing decisions on products like mortgages and savings. Our pricing software guides clients to price recommendations that are worth millions of Pounds or Euros in additional revenue. This is an exciting time to join the company, with a growing set of clients in the UK and Ireland. After recent successes, Clariti AI has built a very promising pipeline of new clients, with revenues expected to increase significantly in the next year. The company is bootstrapped (no VC or angel investment) and is already very profitable. Data Engineer This data engineer role will play a key role in helping us improve the production quality of our software as we scale. Our software offering has a significant financial impact for our clients and needs to be outstanding for our clients to get value. As an early joiner, the Data Engineer role is key, and provides multiple opportunities for the right person to grow significantly. There are many things to focus on depending on experience and interests. The role is all about pro-active "building and improving", whether that is scaling our infrastructure as we take on more clients and larger clients, streamlining and automating data refresh processes, improving our data security, building and deploying machine learning models, or getting involved with client pitches. What you'll be working on Building, optimising, and deploying price optimization machine learning ETL/ELT pipelines and data processes. Improving and adapting our data infrastructure and code base as we scale - including collaboration, security, scalability, efficiency, automation and auditability. Interacting with new clients on client pitches, and working with existing clients to onboard our software, offering engineering and pricing expertise. Essentials: Strong academic background with a minimum bachelor's or master's degree in a STEM subject (Computer Science, Mathematics or Engineering) At least 2 years' experience working as a data engineer (ideally consulting / financial services) - salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS / GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding of DAG (Directed Acyclic Graphs) and their role in pipeline orchestration It would be nice if you could bring (desirables): Professional experience with PySpark, MySQL, Docker, Kubernetes Experience with best-practice pipeline orchestration software (Airflow, Dagster). Experience migrating code from prototype notebooks to .py, while maintaining logic and transparency of underlying code Owned a project across a whole software product lifecycle, from data infrastructure, to model development and deployment, to front-end integration Experience of pricing analytics and/or optimization ideally in retail banking Experience in producing PowerPoint presentations / reports and presenting to clients or colleagues Willingness to get involved in all parts of the business - we are a small company so we all wear many hats An entrepreneurial spirit and drive to work in an early-stage start-up that directly rewards impact Tech stack: Platform: We build everything in Azure (but sometimes need to work in other cloud providers like AWS depending on client's needs). Backend - We develop all our code in Python Front-end - MySQL and jQuery/React What we offer A highly competitive salary A genuinely compelling profit share scheme, with the potential to own a significant stake in the business Equity options that deliver significant gains if the company is acquired Flexible working hours "Work anywhere" for up to two months a year A significant opportunity to grow quickly with regular performance-based promotions and pay increases 25 days per year holiday allowance, increasing by one day per year after two years' service to 30 days Other We cannot sponsor visas, so only applicants with the permanent right to work in the UK will be considered Successful applicants should be willing to work in London up to two days a week and should be willing to travel to clients occasionally
Location: Belfast Working Arrangement: Office-based (3-4 days in the office per week) The Opportunity A growing, technology-focused organisation operating within the water and wastewater sector is looking to appoint a Data Analyst / Wastewater Modeller to join its technical team. The business develops innovative, data-driven solutions that help wastewater organisations identify potential issues within sewer networks, improve operational decision-making and support environmental performance. The role sits within a New Product Development team and combines wastewater hydraulic modelling, data analysis and emerging data-driven technologies. It would suit a Project Engineer, Project Scientist, Urban Drainage Modeller, Wastewater Modeller, Hydraulic Modeller or similar professional who is looking to build on their existing modelling experience while developing their skills in Python and data analytics. You'll work within a collaborative, cross-functional environment, taking ownership of projects and working alongside technical and development teams to deliver solutions for customers. About the Role This is a pragmatic, delivery-focused position involving the use of data, analytics and hydraulic modelling to develop solutions for customers within the wastewater sector. The role will involve: Developing an understanding of the company's technology and data-driven solutions. Supporting the scoping and delivery of customer projects. Analysing, interpreting and visualising wastewater and environmental data. Running hydraulic modelling simulations using InfoWorks ICM, SWMM or similar software. Working alongside software and product development teams to improve existing tools and functionality. Taking ownership of individual projects and delivering work within agreed timescales. Working with customers to understand project requirements and communicate findings. Applying industry knowledge and best practice to help develop effective technical solutions. Contributing to the development of new data-driven approaches within the wastewater sector. The work produced will support wastewater organisations in identifying network issues, reducing environmental impacts and informing future investment decisions. Essential Criteria A relevant third-level qualification. 2+ years' experience working with InfoWorks ICM, SWMM or similar hydraulic modelling software. Experience using QGIS or similar GIS software. Experience with data exploration and visualisation. Strong communication skills, both written and verbal. Ability to work collaboratively within a multidisciplinary team. Strong work ethic and a proactive approach to problem solving. Ability to review work and provide constructive feedback to colleagues. Commitment to producing high-quality work. A practical, problem-solving mindset. Curiosity and willingness to develop new technical skills. Desirable Criteria Relevant Master's or PhD qualification. Experience using Python, particularly libraries such as Pandas and GeoPandas. Experience with scripting or automation within hydraulic modelling software. Experience of software engineering, data science or analytics within the wastewater sector. Familiarity with cloud computing platforms, such as AWS. Experience working within an Agile delivery environment. Experience working with water company clients or engineering contractors. Experience of hydraulic model build and verification, including flow survey scoping and management. Experience developing options to reduce flooding, spills or other wastewater network issues. Key Responsibilities Work collaboratively with product development and engineering teams to deliver customer projects. Take ownership of individual projects, managing priorities, timescales and delivery requirements. Engage with customers to understand project requirements and communicate technical findings. Analyse and interpret data to develop practical solutions. Support the integration of project outputs into wider technical solutions. Identify potential bugs, improvements and changes and communicate these to the wider engineering team. Contribute ideas and technical knowledge to the continued development of the organisation's products and services. Benefits Private medical insurance, including dental and optical cover. Company pension scheme with 5% employer contribution and 5% employee contribution. 24 days' annual leave pro rata, plus 1 day birthday leave and statutory holidays. Enhanced maternity and paternity pay. Additional employee benefits covering areas such as electric vehicles, cycling, technology and home working. Car parking available close to the office. Why This Opportunity? This is an opportunity to combine your existing wastewater hydraulic modelling experience with data analytics and Python, while working on technically interesting projects within a growing technology-led business. The role offers the chance to take ownership of projects, work directly with customers and collaborate with software and product development specialists, with support available to develop your skills in areas where you may have less experience. We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
01/09/2026
Full time
Location: Belfast Working Arrangement: Office-based (3-4 days in the office per week) The Opportunity A growing, technology-focused organisation operating within the water and wastewater sector is looking to appoint a Data Analyst / Wastewater Modeller to join its technical team. The business develops innovative, data-driven solutions that help wastewater organisations identify potential issues within sewer networks, improve operational decision-making and support environmental performance. The role sits within a New Product Development team and combines wastewater hydraulic modelling, data analysis and emerging data-driven technologies. It would suit a Project Engineer, Project Scientist, Urban Drainage Modeller, Wastewater Modeller, Hydraulic Modeller or similar professional who is looking to build on their existing modelling experience while developing their skills in Python and data analytics. You'll work within a collaborative, cross-functional environment, taking ownership of projects and working alongside technical and development teams to deliver solutions for customers. About the Role This is a pragmatic, delivery-focused position involving the use of data, analytics and hydraulic modelling to develop solutions for customers within the wastewater sector. The role will involve: Developing an understanding of the company's technology and data-driven solutions. Supporting the scoping and delivery of customer projects. Analysing, interpreting and visualising wastewater and environmental data. Running hydraulic modelling simulations using InfoWorks ICM, SWMM or similar software. Working alongside software and product development teams to improve existing tools and functionality. Taking ownership of individual projects and delivering work within agreed timescales. Working with customers to understand project requirements and communicate findings. Applying industry knowledge and best practice to help develop effective technical solutions. Contributing to the development of new data-driven approaches within the wastewater sector. The work produced will support wastewater organisations in identifying network issues, reducing environmental impacts and informing future investment decisions. Essential Criteria A relevant third-level qualification. 2+ years' experience working with InfoWorks ICM, SWMM or similar hydraulic modelling software. Experience using QGIS or similar GIS software. Experience with data exploration and visualisation. Strong communication skills, both written and verbal. Ability to work collaboratively within a multidisciplinary team. Strong work ethic and a proactive approach to problem solving. Ability to review work and provide constructive feedback to colleagues. Commitment to producing high-quality work. A practical, problem-solving mindset. Curiosity and willingness to develop new technical skills. Desirable Criteria Relevant Master's or PhD qualification. Experience using Python, particularly libraries such as Pandas and GeoPandas. Experience with scripting or automation within hydraulic modelling software. Experience of software engineering, data science or analytics within the wastewater sector. Familiarity with cloud computing platforms, such as AWS. Experience working within an Agile delivery environment. Experience working with water company clients or engineering contractors. Experience of hydraulic model build and verification, including flow survey scoping and management. Experience developing options to reduce flooding, spills or other wastewater network issues. Key Responsibilities Work collaboratively with product development and engineering teams to deliver customer projects. Take ownership of individual projects, managing priorities, timescales and delivery requirements. Engage with customers to understand project requirements and communicate technical findings. Analyse and interpret data to develop practical solutions. Support the integration of project outputs into wider technical solutions. Identify potential bugs, improvements and changes and communicate these to the wider engineering team. Contribute ideas and technical knowledge to the continued development of the organisation's products and services. Benefits Private medical insurance, including dental and optical cover. Company pension scheme with 5% employer contribution and 5% employee contribution. 24 days' annual leave pro rata, plus 1 day birthday leave and statutory holidays. Enhanced maternity and paternity pay. Additional employee benefits covering areas such as electric vehicles, cycling, technology and home working. Car parking available close to the office. Why This Opportunity? This is an opportunity to combine your existing wastewater hydraulic modelling experience with data analytics and Python, while working on technically interesting projects within a growing technology-led business. The role offers the chance to take ownership of projects, work directly with customers and collaborate with software and product development specialists, with support available to develop your skills in areas where you may have less experience. We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
