TodayTix Group
About TodayTix Group: TodayTix Group (TTG) is the global e-commerce leader for cultural experiences, designing frictionless discovery and purchase journeys through innovative product design and industry-leading technology. Our portfolio of brands-including TodayTix, New York Theatre Guide, London Theatre, Show-Score, Arthouse, Arthouse London, and Secret Cinema-connects millions of customers with the best in live entertainment. Powered by vast data and insights, TTG helps theatres, producers, and cultural institutions reach highly engaged audiences and unlock meaningful revenue, transforming how tickets are sold across the world. In 2025, TTG entered a new chapter as part of MARI, the global events and experiences company powering world-defining live experiences. Together, we're expanding our reach, deepening our impact, and accelerating a shared vision to redefine the event lifecycle through seamless discovery, purchase, and engagement. Life at TodayTix Group We thrive in a nimble, growth-oriented environment where adaptability, curiosity, and a bias toward action help us stay ahead of the curve. We move quickly, iterate often, and expect everyone to take ownership of their impact - because we're building the future of live events, and there's no script for what comes next. New joiners are set up for success with a 90-day onboarding journey, complete with clear goals and measurable milestones. We believe feedback fuels growth, so we hold twice-yearly performance reviews focused on impact and development. Above all, you'll be working alongside a team of collaborative, passionate, and kind humans - people who love theatre and live experiences, and who support each other just as much as they challenge each other to do great work. We are seeking outstanding applicants of all backgrounds to join our team to bring new voices, talent, and perspectives to the table. We encourage all to apply. About the Role: We're looking for a Lead Data Engineer to join TodayTix Group and own how we scale our data platform - the backbone connecting product, growth, finance, and CX to a single source of truth, plus increasingly the substrate AI tooling across the company queries directly. You'll lead the team that owns the project end-to-end - staging, intermediates, and marts - plus the CI/CD pipeline and Snowflake platform underneath it. This is a technical leadership role, not a heads-down modelling one - most of your time goes to architecture, review, technical strategy, and cross-functional leadership, with hands-on modelling a deliberate minority. You lead by setting direction, raising the team's bar, and owning delivery, quality, and stakeholder trust across a high-demand roadmap. The foundation is built - your job is what gets built on top of it as the org scales. TTG is expanding as part of MARI, bringing new portfolio companies' event and ticketing data onto the platform; PxT (our partner-facing product) is growing its surface area; and the business keeps adding markets and brands. You'll design how the platform absorbs that growth - new sources, new consumers, higher stakes - without the architecture buckling. If you thrive in a fast-moving, high-ownership environment, measure your impact by the team's, not just your own, and care as much about business impact as technical craft, we'd love to hear from you - especially if, like the rest of the team, you reach for AI by default. Please note: This full-time position and qualified candidates must be based in the Greater London area. We encourage collaboration by working a minimum of 2 days per week in the office, with flexibility to choose where you work for the rest of the week. What Success Looks Like: The platform scales, it doesn't strain New portfolio events, new surfaces, and new markets onboard onto the existing staging/intermediates/marts pattern without one-off hacks or a rebuild. Data people trust by default Certified marts stay accurate and documented as volume and source count grow; breaking changes get caught by CI and dbt tests, not discovered by a stakeholder in a dashboard. A faster, more autonomous team Engineers ship models confidently without you reviewing every line; your reports are visibly levelling up. Architecture that holds Your design decisions - dynamic tables vs. incremental models, how a new portfolio company's data enters the model, orchestration choices - hold up as sources and consumers multiply, and design flaws get caught in review, not production. Trust through ownership Stakeholders across product, growth, finance, and CX bring you problems, not tickets, because you communicate early and their reporting hasn't broken under them. What You'll Do: Own the data platform end-to-end - the dbt project (staging intermediates marts), CI/CD, and the Snowflake infrastructure it runs on. Design and lead the onboarding of new data sources onto the platform as TTG scales, so growth doesn't mean architectural debt. Partner with data consumers - product, growth, finance, CX, and incoming portfolio teams - to model new sources cleanly rather than bolt them on under deadline pressure. Run intake and prioritisation across a high-demand roadmap where reporting, growth analytics, and AI-tooling initiatives compete for the same team's time - sequence against business objectives, and say no well. Protect data quality systematically - dbt tests, contract-enforced schemas, and CI that catches breaking changes before they reach a dashboard or an AI agent. Set technical direction for the warehouse and give the kind of code review that makes data engineers better - spotting model design flaws before they ship. Lead and grow the team - 1:1s, feedback, and career development. Build the factory, not just the models: keep pushing AI into how the team works, and support the org's growing use of AI agents as direct consumers of the warehouse you build. We're Looking for Someone With: A track record of leading engineers. 8+ years in data engineering (or software engineering with a heavy data bent), including leading a team - formally or informally - and growing the engineers around you. This is the core of the role. Deep SQL and dbt expertise. You've built and scaled a dbt project in production - models, tests, macros, contracts - and reason about warehouse cost and performance, not just correctness. Cloud data warehouse depth. Hands-on experience with Snowflake or a comparable MPP warehouse (Redshift, BigQuery). Experience scaling a data platform through growth - onboarding new business units, acquisitions, or data sources onto an existing model without rearchitecting from scratch. (M&A / multi-entity data integration experience is directly relevant given the evolving company structure.) Full-stack data platform judgement. Comfortable across ingestion (CDC/replication from operational databases, event pipelines), transformation (dbt), and consumption (BI tools, reverse ETL, AI/agent access) - even where you're not the one writing every layer. Strong architecture and code review. You set technical direction through sound data-model design and give review that makes engineers better. Stakeholder management. You partner with product, finance, growth, and CX - translating messy source data into models people trust, and setting expectations as priorities shift. A product and business mindset. You measure success by the decisions your data enabled, not rows modelled. AI fluency. You already reach for AI to write and review data models, and you're comfortable with AI agents as first-class consumers of the warehouse you build. You don't need to tick every box. If most of this sounds like you, we'd love to hear from you. Nice to Have: Experience with a customer data platform (CDP) and identity resolution across multiple event sources - directly relevant to unifying data across our portfolio companies. Experience with AWS DMS or another CDC/replication tool feeding a warehouse from an operational database (MySQL, Postgres). Experience with Looker/LookML or another BI semantic layer. Experience in e-commerce, ticketing, or a marketplace business with high-cardinality partner/catalogue data. Experience building or supporting AI/LLM-facing data products - a chatbot, a RAG pipeline, an agent with database access. Experience with GitHub Actions-based CI/CD for data pipelines. Good To Know: TodayTix Group takes care of our team. We're proud to offer a generous suite of benefits. Here are some of our favourites: Hybrid work environment (blend of in-office and at-home days) Up to 4 weeks per year of flexible work from anywhere Generous pension match Access to a bespoke Pension scheme Complimentary tickets to shows and events Employee Assistance Programme Access to a corporate rate Vitality PMI plan Healthcare cash plan Season Ticket loans Birthday off Three months of fully paid Parental Leave Employee Charity Donation Matching Annual Professional Development Budget Cycle to work scheme Employee Referral Bonus TodayTix Group is proud to be an equal opportunity employer, committed to fostering a workplace that celebrates diversity and inclusion. We welcome candidates of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital or veteran status, pregnancy, disability . click apply for full job details
About TodayTix Group: TodayTix Group (TTG) is the global e-commerce leader for cultural experiences, designing frictionless discovery and purchase journeys through innovative product design and industry-leading technology. Our portfolio of brands-including TodayTix, New York Theatre Guide, London Theatre, Show-Score, Arthouse, Arthouse London, and Secret Cinema-connects millions of customers with the best in live entertainment. Powered by vast data and insights, TTG helps theatres, producers, and cultural institutions reach highly engaged audiences and unlock meaningful revenue, transforming how tickets are sold across the world. In 2025, TTG entered a new chapter as part of MARI, the global events and experiences company powering world-defining live experiences. Together, we're expanding our reach, deepening our impact, and accelerating a shared vision to redefine the event lifecycle through seamless discovery, purchase, and engagement. Life at TodayTix Group We thrive in a nimble, growth-oriented environment where adaptability, curiosity, and a bias toward action help us stay ahead of the curve. We move quickly, iterate often, and expect everyone to take ownership of their impact - because we're building the future of live events, and there's no script for what comes next. New joiners are set up for success with a 90-day onboarding journey, complete with clear goals and measurable milestones. We believe feedback fuels growth, so we hold twice-yearly performance reviews focused on impact and development. Above all, you'll be working alongside a team of collaborative, passionate, and kind humans - people who love theatre and live experiences, and who support each other just as much as they challenge each other to do great work. We are seeking outstanding applicants of all backgrounds to join our team to bring new voices, talent, and perspectives to the table. We encourage all to apply. About the Role: We're looking for a Lead Data Engineer to join TodayTix Group and own how we scale our data platform - the backbone connecting product, growth, finance, and CX to a single source of truth, plus increasingly the substrate AI tooling across the company queries directly. You'll lead the team that owns the project end-to-end - staging, intermediates, and marts - plus the CI/CD pipeline and Snowflake platform underneath it. This is a technical leadership role, not a heads-down modelling one - most of your time goes to architecture, review, technical strategy, and cross-functional leadership, with hands-on modelling a deliberate minority. You lead by setting direction, raising the team's bar, and owning delivery, quality, and stakeholder trust across a high-demand roadmap. The foundation is built - your job is what gets built on top of it as the org scales. TTG is expanding as part of MARI, bringing new portfolio companies' event and ticketing data onto the platform; PxT (our partner-facing product) is growing its surface area; and the business keeps adding markets and brands. You'll design how the platform absorbs that growth - new sources, new consumers, higher stakes - without the architecture buckling. If you thrive in a fast-moving, high-ownership environment, measure your impact by the team's, not just your own, and care as much about business impact as technical craft, we'd love to hear from you - especially if, like the rest of the team, you reach for AI by default. Please note: This full-time position and qualified candidates must be based in the Greater London area. We encourage collaboration by working a minimum of 2 days per week in the office, with flexibility to choose where you work for the rest of the week. What Success Looks Like: The platform scales, it doesn't strain New portfolio events, new surfaces, and new markets onboard onto the existing staging/intermediates/marts pattern without one-off hacks or a rebuild. Data people trust by default Certified marts stay accurate and documented as volume and source count grow; breaking changes get caught by CI and dbt tests, not discovered by a stakeholder in a dashboard. A faster, more autonomous team Engineers ship models confidently without you reviewing every line; your reports are visibly levelling up. Architecture that holds Your design decisions - dynamic tables vs. incremental models, how a new portfolio company's data enters the model, orchestration choices - hold up as sources and consumers multiply, and design flaws get caught in review, not production. Trust through ownership Stakeholders across product, growth, finance, and CX bring you problems, not tickets, because you communicate early and their reporting hasn't broken under them. What You'll Do: Own the data platform end-to-end - the dbt project (staging intermediates marts), CI/CD, and the Snowflake infrastructure it runs on. Design and lead the onboarding of new data sources onto the platform as TTG scales, so growth doesn't mean architectural debt. Partner with data consumers - product, growth, finance, CX, and incoming portfolio teams - to model new sources cleanly rather than bolt them on under deadline pressure. Run intake and prioritisation across a high-demand roadmap where reporting, growth analytics, and AI-tooling initiatives compete for the same team's time - sequence against business objectives, and say no well. Protect data quality systematically - dbt tests, contract-enforced schemas, and CI that catches breaking changes before they reach a dashboard or an AI agent. Set technical direction for the warehouse and give the kind of code review that makes data engineers better - spotting model design flaws before they ship. Lead and grow the team - 1:1s, feedback, and career development. Build the factory, not just the models: keep pushing AI into how the team works, and support the org's growing use of AI agents as direct consumers of the warehouse you build. We're Looking for Someone With: A track record of leading engineers. 8+ years in data engineering (or software engineering with a heavy data bent), including leading a team - formally or informally - and growing the engineers around you. This is the core of the role. Deep SQL and dbt expertise. You've built and scaled a dbt project in production - models, tests, macros, contracts - and reason about warehouse cost and performance, not just correctness. Cloud data warehouse depth. Hands-on experience with Snowflake or a comparable MPP warehouse (Redshift, BigQuery). Experience scaling a data platform through growth - onboarding new business units, acquisitions, or data sources onto an existing model without rearchitecting from scratch. (M&A / multi-entity data integration experience is directly relevant given the evolving company structure.) Full-stack data platform judgement. Comfortable across ingestion (CDC/replication from operational databases, event pipelines), transformation (dbt), and consumption (BI tools, reverse ETL, AI/agent access) - even where you're not the one writing every layer. Strong architecture and code review. You set technical direction through sound data-model design and give review that makes engineers better. Stakeholder management. You partner with product, finance, growth, and CX - translating messy source data into models people trust, and setting expectations as priorities shift. A product and business mindset. You measure success by the decisions your data enabled, not rows modelled. AI fluency. You already reach for AI to write and review data models, and you're comfortable with AI agents as first-class consumers of the warehouse you build. You don't need to tick every box. If most of this sounds like you, we'd love to hear from you. Nice to Have: Experience with a customer data platform (CDP) and identity resolution across multiple event sources - directly relevant to unifying data across our portfolio companies. Experience with AWS DMS or another CDC/replication tool feeding a warehouse from an operational database (MySQL, Postgres). Experience with Looker/LookML or another BI semantic layer. Experience in e-commerce, ticketing, or a marketplace business with high-cardinality partner/catalogue data. Experience building or supporting AI/LLM-facing data products - a chatbot, a RAG pipeline, an agent with database access. Experience with GitHub Actions-based CI/CD for data pipelines. Good To Know: TodayTix Group takes care of our team. We're proud to offer a generous suite of benefits. Here are some of our favourites: Hybrid work environment (blend of in-office and at-home days) Up to 4 weeks per year of flexible work from anywhere Generous pension match Access to a bespoke Pension scheme Complimentary tickets to shows and events Employee Assistance Programme Access to a corporate rate Vitality PMI plan Healthcare cash plan Season Ticket loans Birthday off Three months of fully paid Parental Leave Employee Charity Donation Matching Annual Professional Development Budget Cycle to work scheme Employee Referral Bonus TodayTix Group is proud to be an equal opportunity employer, committed to fostering a workplace that celebrates diversity and inclusion. We welcome candidates of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital or veteran status, pregnancy, disability . click apply for full job details
慨正橡扯
City, Newcastle Upon Tyne
At Sage, innovation starts with our people. With over 13,000 colleagues across 40 locations worldwide and more than 2 million customers, we're united by a shared purpose: to transform the way millions of businesses work. As a global leader in AI, finance and HR software, we harness cutting edge technology to simplify complexity and drive progress. Why join Sage as an Apprentice? This isn't a passive learning programme. From day one, you'll work on real challenges alongside experienced colleagues, with structured development, mentoring, and hands on delivery. What you will be involved in As an AI Automation Specialist Apprentice, you'll work at the heart of how Sage uses AI and automation to improve the way we operate. You'll explore real business problems, help build and test solutions, and support teams in adopting new ways of working, all while developing the skills and knowledge that underpin your Level 4 qualification. Spot inefficiencies and repetitive processes across the business and investigate how AI or automation could address them Use low code tools such as Microsoft Power Automate and Copilot Studio to build and test automation workflows Work with stakeholders to understand business challenges, map processes, and agree how success will be measured Apply AI governance principles in everything you do, including data privacy, security, and responsible use Contribute to the testing, refinement and documentation of live solutions Help measure and communicate the impact of automation, including time saved and efficiency gained Support the rollout of solutions by creating guidance materials and assisting teams through change Collaborate with technical colleagues to understand how prototypes can be scaled into robust, secure solutions What we are looking for We welcome applications from people who are at the start of their career and ready to learn. You don't need a degree or prior experience in AI, what matters most is your curiosity, drive, and genuine interest in technology. To meet the entry requirements for the Level 4 apprenticeship, you'll need: Five GCSEs at grades 9 to 4, including English and Maths. Plus one of the following: an A level (ideally in Computer Science, Maths or Applied Sciences), a Level 3 Apprenticeship or vocational qualification, or an equivalent IT, computing or Engineering certification. Due to funding regulations, to be eligible to apply for the apprenticeship, you must have the right to work in the UK and have been resident in the UK for at least the past three years. Beyond that, you'll stand out if you: Have a genuine interest in AI, automation, and how technology can improve the way people work Think logically and enjoy breaking down problems to find practical solutions Are curious about how processes and systems work, and how they could work better Can communicate confidently with people at all levels, technical and non technical alike Are proactive, self motivated, and comfortable learning new tools and ideas quickly Work well as part of a team and take accountability for your own development Your Level 4 Apprenticeship: AI and Automation Practitioner Alongside your day to day role, you'll study toward the Level 4 AI and Automation Practitioner apprenticeship. The programme runs for 15 months and is designed to give you both the technical grounding and the commercial judgement to make a real difference with AI. By the time you complete the programme, you'll be able to identify automation opportunities, design and test AI enabled solutions, apply governance principles confidently, and demonstrate measurable business impact. You'll also have the opportunity to work toward industry recognised certifications, including: Microsoft PL 900: Power Platform Fundamentals Microsoft AI 900: Azure AI Fundamentals Microsoft PL 200: Power Platform Functional Consultant (intermediate) What to expect from the process Apply online with your CV Complete screening, cognitive testing and a video interview (you'll receive a link within one week of applying) If successful, you'll be invited to an assessment centre Successful candidates will join us in July 2026 We're committed to an inclusive process for everyone. If you need any adjustments at any stage, please get in touch at
At Sage, innovation starts with our people. With over 13,000 colleagues across 40 locations worldwide and more than 2 million customers, we're united by a shared purpose: to transform the way millions of businesses work. As a global leader in AI, finance and HR software, we harness cutting edge technology to simplify complexity and drive progress. Why join Sage as an Apprentice? This isn't a passive learning programme. From day one, you'll work on real challenges alongside experienced colleagues, with structured development, mentoring, and hands on delivery. What you will be involved in As an AI Automation Specialist Apprentice, you'll work at the heart of how Sage uses AI and automation to improve the way we operate. You'll explore real business problems, help build and test solutions, and support teams in adopting new ways of working, all while developing the skills and knowledge that underpin your Level 4 qualification. Spot inefficiencies and repetitive processes across the business and investigate how AI or automation could address them Use low code tools such as Microsoft Power Automate and Copilot Studio to build and test automation workflows Work with stakeholders to understand business challenges, map processes, and agree how success will be measured Apply AI governance principles in everything you do, including data privacy, security, and responsible use Contribute to the testing, refinement and documentation of live solutions Help measure and communicate the impact of automation, including time saved and efficiency gained Support the rollout of solutions by creating guidance materials and assisting teams through change Collaborate with technical colleagues to understand how prototypes can be scaled into robust, secure solutions What we are looking for We welcome applications from people who are at the start of their career and ready to learn. You don't need a degree or prior experience in AI, what matters most is your curiosity, drive, and genuine interest in technology. To meet the entry requirements for the Level 4 apprenticeship, you'll need: Five GCSEs at grades 9 to 4, including English and Maths. Plus one of the following: an A level (ideally in Computer Science, Maths or Applied Sciences), a Level 3 Apprenticeship or vocational qualification, or an equivalent IT, computing or Engineering certification. Due to funding regulations, to be eligible to apply for the apprenticeship, you must have the right to work in the UK and have been resident in the UK for at least the past three years. Beyond that, you'll stand out if you: Have a genuine interest in AI, automation, and how technology can improve the way people work Think logically and enjoy breaking down problems to find practical solutions Are curious about how processes and systems work, and how they could work better Can communicate confidently with people at all levels, technical and non technical alike Are proactive, self motivated, and comfortable learning new tools and ideas quickly Work well as part of a team and take accountability for your own development Your Level 4 Apprenticeship: AI and Automation Practitioner Alongside your day to day role, you'll study toward the Level 4 AI and Automation Practitioner apprenticeship. The programme runs for 15 months and is designed to give you both the technical grounding and the commercial judgement to make a real difference with AI. By the time you complete the programme, you'll be able to identify automation opportunities, design and test AI enabled solutions, apply governance principles confidently, and demonstrate measurable business impact. You'll also have the opportunity to work toward industry recognised certifications, including: Microsoft PL 900: Power Platform Fundamentals Microsoft AI 900: Azure AI Fundamentals Microsoft PL 200: Power Platform Functional Consultant (intermediate) What to expect from the process Apply online with your CV Complete screening, cognitive testing and a video interview (you'll receive a link within one week of applying) If successful, you'll be invited to an assessment centre Successful candidates will join us in July 2026 We're committed to an inclusive process for everyone. If you need any adjustments at any stage, please get in touch at
Themis Solutions Inc.
Manchester, Lancashire
Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. Summary We are seeking an Intermediate Data Engineer in Manchester to join our rapidly growing Data Engineering team. This role is for someone passionate about building innovative solutions, exposed to new challenges, and motivated to make an impact. It is available to existing Clions with suitable skills and interests. What our team does Our Data Engineering team delivers an incredible experience for our customers-Clions and Clio clients. As a Data Engineer, you will build data pipelines from scratch, make data sets accessible to partner teams, and help build the platform and tools for data at Clio by writing production ready code. A day in the life Implement data ingestion (real time and batch) using best practices in data modeling, ETL/ELT processes, and leveraging Azure technologies. Design, build, and maintain data transformation pipelines and notebooks, consolidating various data sources into Data Lakes or Data Warehouses. Collaborate with engineers to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation. Develop prototype or proof of concept implementations where the technical solution is unknown or unproven. Build interactive reports for internal and customer consumption. Skills you may have Experience in software development and data engineering or analytics. Experience with cloud infrastructure (Azure). Proficiency in at least one major language (Python, Spark SQL, or Scala) and SQL, plus a drive to write elegant, maintainable code. Experience with streaming and batch data tools: Spark, Airflow. Data warehousing experience with MS Fabric or similar. Experience using visualization tools (Power BI). Exceptional collaboration and communication skills, and the ability to derive clarity in ambiguous environments. Experience with mirroring or other replication tools. You are a self starter and thrive on feedback. Benefits Compensation is one of the main components of Clio's Total Rewards Program. The expected salary range for this role is £69,700 to £82,000 to £94,300 GBP. There is a separate set of salary bands for other regions based on local currency. Our salary bands reflect the range of skills and experience needed for the position and allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount will depend on geographical region, applicable experience, and skillset of the candidate. Competitive, equitable salary. Clio offers a flexible hybrid work environment. 25 days holiday plus bank holidays. Private healthcare with life insurance and critical illness cover. Pension contribution. Professional development and growth options. Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves and is united by our mission. We are dedicated to diversity, equity, and inclusion, building and fostering an environment where teams feel included, valued, and enabled to do their best work. We believe that different perspectives, skills, backgrounds, and experiences result in higher performing teams and better innovation. We are committed to equal employment and encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. If you require any accommodation, please let us know and we will work with you to meet your needs. Equal Opportunity Employer We are an equal opportunity employer and consider all qualified applicants without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Disclaimer We only communicate with candidates through email addresses.
Clio is the global leader in legal AI technology, empowering legal professionals and law firms of every size to work smarter, faster, and more securely. Summary We are seeking an Intermediate Data Engineer in Manchester to join our rapidly growing Data Engineering team. This role is for someone passionate about building innovative solutions, exposed to new challenges, and motivated to make an impact. It is available to existing Clions with suitable skills and interests. What our team does Our Data Engineering team delivers an incredible experience for our customers-Clions and Clio clients. As a Data Engineer, you will build data pipelines from scratch, make data sets accessible to partner teams, and help build the platform and tools for data at Clio by writing production ready code. A day in the life Implement data ingestion (real time and batch) using best practices in data modeling, ETL/ELT processes, and leveraging Azure technologies. Design, build, and maintain data transformation pipelines and notebooks, consolidating various data sources into Data Lakes or Data Warehouses. Collaborate with engineers to adopt best practices in data system creation, data integrity, test design, analysis, validation, and documentation. Develop prototype or proof of concept implementations where the technical solution is unknown or unproven. Build interactive reports for internal and customer consumption. Skills you may have Experience in software development and data engineering or analytics. Experience with cloud infrastructure (Azure). Proficiency in at least one major language (Python, Spark SQL, or Scala) and SQL, plus a drive to write elegant, maintainable code. Experience with streaming and batch data tools: Spark, Airflow. Data warehousing experience with MS Fabric or similar. Experience using visualization tools (Power BI). Exceptional collaboration and communication skills, and the ability to derive clarity in ambiguous environments. Experience with mirroring or other replication tools. You are a self starter and thrive on feedback. Benefits Compensation is one of the main components of Clio's Total Rewards Program. The expected salary range for this role is £69,700 to £82,000 to £94,300 GBP. There is a separate set of salary bands for other regions based on local currency. Our salary bands reflect the range of skills and experience needed for the position and allow room for growth at Clio. For experienced individuals, we typically hire at or around the midpoint of the band. The top portion of the salary band is reserved for employees who demonstrate sustained high performance and impact at Clio. Those who are new to the role may join below the midpoint and develop their skills over time. The final offer amount will depend on geographical region, applicable experience, and skillset of the candidate. Competitive, equitable salary. Clio offers a flexible hybrid work environment. 25 days holiday plus bank holidays. Private healthcare with life insurance and critical illness cover. Pension contribution. Professional development and growth options. Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves and is united by our mission. We are dedicated to diversity, equity, and inclusion, building and fostering an environment where teams feel included, valued, and enabled to do their best work. We believe that different perspectives, skills, backgrounds, and experiences result in higher performing teams and better innovation. We are committed to equal employment and encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. If you require any accommodation, please let us know and we will work with you to meet your needs. Equal Opportunity Employer We are an equal opportunity employer and consider all qualified applicants without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Disclaimer We only communicate with candidates through email addresses.