HeadFirst Group
Data Engineer London, Greater London, United Kingdom €4,000-8,500 32 - 40 hours Tech & Digital, UK Apply Now Build the global data backbone for AI and workforce intelligence as a Data Engineer at HeadFirst Group Do you want to build scalable data platforms that power AI, analytics, and intelligent workforce solutions on a global scale? Are you excited by modern Databricks environments, cloud-native engineering, and the opportunity to help shape the future of AI-enabled platforms? As a Data Engineer on the Global Data & AI Team at HeadFirst Group & Impellam Group, you will play a key role in building and scaling the data infrastructure that underpins our international Workforce-as-a-Service (WaaS) strategy. You will work on our internally developed Headless Data Architecture (HDA): a scalable, API-first lakehouse platform built on Azure Databricks, Delta Lake, and Unity Catalog. This platform supports analytics, AI workloads, and intelligent workforce solutions across Europe, North America, and APAC. What makes this role unique? You won't be joining a traditional data team focused solely on reporting or ETL. You'll help build a modern global data platform where data engineering, AI enablement, and platform scalability come together. You'll work with modern technologies, AI assisted development tools, and an international engineering team that is actively shaping the next generation of workforce intelligence. Your impact at HeadFirst Group As a Data Engineer, you are responsible for designing, building, and optimizing scalable, production ready data pipelines within our global lakehouse ecosystem. You help create scalable and reusable data products that power analytics, AI, and operational intelligence. You will contribute directly to the further development of our Headless Data Architecture (HDA), where governance and scalability are embedded into every layer of the platform. In this role, you will work closely with ML/AI Engineers, Platform Engineers, Cloud Engineers, and stakeholders across Europe, the UK, the US, and APAC. Together, you will help shape a modern cloud data platform that enables teams to exchange, govern, and leverage data efficiently. You will join a growing international engineering team with significant influence over platform decisions, engineering standards, and the future direction of the platform. What will you do? Design, build, and maintain Bronze Silver Gold medallion pipelines in Azure Databricks. Develop scalable ETL/ELT pipelines using PySpark, Delta Lake, and Databricks-native tools. Build deployable data products using Lakeflow, Spark Declarative Pipelines, and Databricks Asset Bundles (DABs). Implement reusable data contracts and scalable data product patterns. Manage Unity Catalog governance, lineage, and access management. Contribute to vector search, semantic search, and AI enabled retrieval capabilities. Work within a global multi lakehouse architecture, including Delta Sharing across regions. Collaborate with international engineering teams on platform scalability and data exchange. Participate in Git based development, CI/CD workflows, and code reviews. Monitor platform health, observability, and DataOps reliability. Work with AI assisted development tools such as Claude Code and the Databricks AI Dev Kit. About HeadFirst Group HeadFirst Group is a leading international provider of workforce solutions and the largest Managed Service Provider in the Netherlands. Every day, we connect thousands of professionals with organizations such as Rabobank, Vattenfall, government agencies, and many other public and private sector clients. Through technology, data driven insights, and specialized expertise, we help organizations navigate an increasingly complex and rapidly changing labor market. Within our Global Data & AI Team, we are laying the groundwork for a truly AI enabled and data driven organization. You will join an ambitious international engineering environment where innovation, ownership, and collaboration are central. We combine enterprise scale operations with modern engineering practices and continuously invest in cloud native technologies, AI capabilities, and platform maturity. This is an opportunity to work on a modern Databricks ecosystem that makes a real global impact, while helping to shape the future of data and AI within a global organization. What's on offer Salary that matches your experience. 8.33% vacation pay and 27 vacation days per year based on full time employment. Hybrid working: 60/40 split; three days in the office and two days working from home. Premium free pension: we pay your entire pension premium. Performance bonus: may receive an annual bonus of one or two months' salary, depending on performance. Monthly extras: allowance for internet, vitality budget, contribution towards lunch, and support for setting up a home office. What we expect from you We believe that talent can't always be captured in a checklist. Are you excited about the role, but don't meet every single requirement? We'd still love to hear from you. Our recruitment process welcomes diverse backgrounds, experiences, and ways of working. Feel free to let us know what you need to perform at your best. 3+ years of hands on experience with Databricks in production environments. Extensive experience with Medallion Architecture, Apache Spark, PySpark, and Delta Lake. Experience with Databricks SQL, Unity Catalog, and large scale data engineering workloads. Familiarity with Lakeflow, Spark Declarative Pipelines, and Databricks Asset Bundles (DABs). Strong SQL and Python skills. Experience with Git workflows, CI/CD, and DataOps practices. Understanding of data contracts and scalable data product design. Experience with vector search, semantic search, or AI oriented data workloads is a plus. Experience with global or multi lakehouse Databricks environments is a strong plus. Familiarity with Azure Synapse Analytics and SnapLogic. Strong communication skills and a pragmatic engineering mindset. An interest in AI native engineering and modern platform development. Ready to help shape the future of AI driven workforce intelligence? Apply today and join the Global Data & AI Team at HeadFirst Group & Impellam Group. Together, we are building the global data platform that powers the next generation of workforce solutions.
Data Engineer London, Greater London, United Kingdom €4,000-8,500 32 - 40 hours Tech & Digital, UK Apply Now Build the global data backbone for AI and workforce intelligence as a Data Engineer at HeadFirst Group Do you want to build scalable data platforms that power AI, analytics, and intelligent workforce solutions on a global scale? Are you excited by modern Databricks environments, cloud-native engineering, and the opportunity to help shape the future of AI-enabled platforms? As a Data Engineer on the Global Data & AI Team at HeadFirst Group & Impellam Group, you will play a key role in building and scaling the data infrastructure that underpins our international Workforce-as-a-Service (WaaS) strategy. You will work on our internally developed Headless Data Architecture (HDA): a scalable, API-first lakehouse platform built on Azure Databricks, Delta Lake, and Unity Catalog. This platform supports analytics, AI workloads, and intelligent workforce solutions across Europe, North America, and APAC. What makes this role unique? You won't be joining a traditional data team focused solely on reporting or ETL. You'll help build a modern global data platform where data engineering, AI enablement, and platform scalability come together. You'll work with modern technologies, AI assisted development tools, and an international engineering team that is actively shaping the next generation of workforce intelligence. Your impact at HeadFirst Group As a Data Engineer, you are responsible for designing, building, and optimizing scalable, production ready data pipelines within our global lakehouse ecosystem. You help create scalable and reusable data products that power analytics, AI, and operational intelligence. You will contribute directly to the further development of our Headless Data Architecture (HDA), where governance and scalability are embedded into every layer of the platform. In this role, you will work closely with ML/AI Engineers, Platform Engineers, Cloud Engineers, and stakeholders across Europe, the UK, the US, and APAC. Together, you will help shape a modern cloud data platform that enables teams to exchange, govern, and leverage data efficiently. You will join a growing international engineering team with significant influence over platform decisions, engineering standards, and the future direction of the platform. What will you do? Design, build, and maintain Bronze Silver Gold medallion pipelines in Azure Databricks. Develop scalable ETL/ELT pipelines using PySpark, Delta Lake, and Databricks-native tools. Build deployable data products using Lakeflow, Spark Declarative Pipelines, and Databricks Asset Bundles (DABs). Implement reusable data contracts and scalable data product patterns. Manage Unity Catalog governance, lineage, and access management. Contribute to vector search, semantic search, and AI enabled retrieval capabilities. Work within a global multi lakehouse architecture, including Delta Sharing across regions. Collaborate with international engineering teams on platform scalability and data exchange. Participate in Git based development, CI/CD workflows, and code reviews. Monitor platform health, observability, and DataOps reliability. Work with AI assisted development tools such as Claude Code and the Databricks AI Dev Kit. About HeadFirst Group HeadFirst Group is a leading international provider of workforce solutions and the largest Managed Service Provider in the Netherlands. Every day, we connect thousands of professionals with organizations such as Rabobank, Vattenfall, government agencies, and many other public and private sector clients. Through technology, data driven insights, and specialized expertise, we help organizations navigate an increasingly complex and rapidly changing labor market. Within our Global Data & AI Team, we are laying the groundwork for a truly AI enabled and data driven organization. You will join an ambitious international engineering environment where innovation, ownership, and collaboration are central. We combine enterprise scale operations with modern engineering practices and continuously invest in cloud native technologies, AI capabilities, and platform maturity. This is an opportunity to work on a modern Databricks ecosystem that makes a real global impact, while helping to shape the future of data and AI within a global organization. What's on offer Salary that matches your experience. 8.33% vacation pay and 27 vacation days per year based on full time employment. Hybrid working: 60/40 split; three days in the office and two days working from home. Premium free pension: we pay your entire pension premium. Performance bonus: may receive an annual bonus of one or two months' salary, depending on performance. Monthly extras: allowance for internet, vitality budget, contribution towards lunch, and support for setting up a home office. What we expect from you We believe that talent can't always be captured in a checklist. Are you excited about the role, but don't meet every single requirement? We'd still love to hear from you. Our recruitment process welcomes diverse backgrounds, experiences, and ways of working. Feel free to let us know what you need to perform at your best. 3+ years of hands on experience with Databricks in production environments. Extensive experience with Medallion Architecture, Apache Spark, PySpark, and Delta Lake. Experience with Databricks SQL, Unity Catalog, and large scale data engineering workloads. Familiarity with Lakeflow, Spark Declarative Pipelines, and Databricks Asset Bundles (DABs). Strong SQL and Python skills. Experience with Git workflows, CI/CD, and DataOps practices. Understanding of data contracts and scalable data product design. Experience with vector search, semantic search, or AI oriented data workloads is a plus. Experience with global or multi lakehouse Databricks environments is a strong plus. Familiarity with Azure Synapse Analytics and SnapLogic. Strong communication skills and a pragmatic engineering mindset. An interest in AI native engineering and modern platform development. Ready to help shape the future of AI driven workforce intelligence? Apply today and join the Global Data & AI Team at HeadFirst Group & Impellam Group. Together, we are building the global data platform that powers the next generation of workforce solutions.
HeadFirst Group
AI Solutions Engineer Location: London, Greater London, United Kingdom Hours: 32 - 40 per week Department: Tech & Digital, UK Build AI-powered internal applications on our global Databricks platform. Are you an engineer who enjoys solving operational challenges using AI, automation, and modern application development? Do you thrive in environments where speed, pragmatism, and business impact matter more than unnecessary complexity? At HeadFirst x Impellam, we are looking for an AI Solutions Engineer who works closely with business teams to deliver AI-powered applications that improve how work is done across the organization. In this role, you combine strong software engineering skills with an AI-first approach. You leverage AI coding agents as a force multiplier while maintaining ownership of the architecture, quality, scalability, and user adoption. You build practical applications quickly, integrate them into our global data platform, and continuously improve them based on real-world usage. Your impact As an AI Solutions Engineer, you work at the intersection of business operations, application engineering, and AI enablement. You collaborate closely with departments such as Finance, Sales, Marketing, and HR to gain a detailed understanding of workflows, bottlenecks, and operational pain points. You build applications and automations on our Databricks-centric platform, using shared governance, data products, and AI capabilities as core building blocks. Rather than creating isolated solutions, you contribute to a connected ecosystem where internal tools are scalable, secure, and reusable across regions and teams. A key part of your role is simplifying operational complexity. You identify where repetitive tasks, fragmented processes, or disconnected tools are holding teams back, and replace them with targeted AI-powered workflows, internal applications, and intelligent automations that employees actually use. You work in a highly pragmatic engineering environment where delivering value quickly is essential. This involves building lightweight applications using technologies such as Databricks Apps, Streamlit, Gradio, or FastAPI, while leveraging AI agents to accelerate development cycles and reduce delivery time from weeks to days. At the same time, you work closely with the Platform, Data, and Reliability teams to ensure that the solutions you build comply with engineering standards regarding governance, observability, scalability, and operational reliability. What you will do Work closely with business teams to understand operational workflows, pain points, and opportunities for automation. Deliver internal tools, AI-powered applications, and process digitization initiatives with a strong focus on usability and adoption. Build solutions on top of the Databricks ecosystem using notebooks, jobs, Delta tables, Unity Catalog, Lakebase, and Vector Search. Develop lightweight data applications using Streamlit, Gradio, FastAPI, Databricks Apps, or similar Python-native tools. Guide AI coding agents to generate, refine, and validate production-ready code while maintaining engineering quality standards. Translate business requirements into practical technical solutions that can be delivered quickly and refined continuously. Create or customise AI agents, orchestration workflows, and intelligent automation capabilities. Improve operational workflows using automation platforms such as Microsoft Power Automate or similar tools. Implement observability and monitoring capabilities using Grafana and industry-standard telemetry practices. Identify issues in production, resolve them quickly, and continuously improve solutions based on user feedback and adoption patterns. Collaborate with Platform, Data, and Engineering teams to ensure that applications integrate seamlessly with the broader platform architecture. Contribute reusable patterns, workflows, and engineering practices that improve delivery speed across teams. About the role and HeadFirst Group You will be part of a growing AI-focused engineering team at HeadFirst x Impellam, working closely with the Global Platform, Data, and Engineering teams. While embedded within the business domains you support, you will operate within a shared international platform and engineering framework. By working with technologies such as Databricks, AI coding agents, and modern Python-native application tools, you help accelerate the organization's transformation into an AI-enabled and operationally intelligent business. This role offers exposure to a wide range of business domains, modern AI engineering practices, and highly pragmatic application development in a fast-paced international environment. Here's what we offer you Competitive salary commensurate with experience. 8.33% vacation pay and 27 vacation days per year. Hybrid working model with a 60/40 split: three days in the office, two days working from home. Full pension premium coverage. Performance bonus: annual bonus of one or two months' salary based on performance. Monthly allowances for internet, vitality budget, lunch contribution, and support for home office setup. What we expect from you Several years of experience developing internal tools, business automation solutions, or process digitization solutions in enterprise environments. Hands on experience with Databricks, including notebooks, jobs, Delta tables, Unity Catalog, Databricks Apps, Lakebase, or Vector Search. Extensive experience with Python-based application development and lightweight engineering frameworks. Familiarity with Streamlit, Gradio, FastAPI, dbt, or similar tools for rapidly building internal applications. Experience using AI coding agents or AI-assisted development workflows in day-to-day engineering work. Understanding of large language models (LLMs), prompts, orchestration patterns, and AI agent concepts. Familiarity with workflow automation platforms such as Microsoft Power Automate. Experience managing applications from development through to operational support and user adoption. Working knowledge of observability tools such as Grafana and modern monitoring practices. Ability to evaluate, improve, and maintain code across multiple stacks and technologies. Comfortable working closely with non technical stakeholders in embedded business environments. Familiarity with TypeScript, React, Next.js, or Tailwind is a plus for specialized internal application use cases. What you bring as a professional Strong functional empathy and the ability to understand operational challenges before proposing solutions. A pragmatic mindset focused on delivering usable results quickly and iteratively. Ownership from initial concept through to production implementation and continuous improvement. Clear communication with technical, operational, and business audiences. An interest in AI-native engineering and modern application development workflows. A collaborative approach that balances speed, scalability, and engineering quality. Adaptability in fast-paced environments where priorities and opportunities change rapidly. Disclaimer This position is open to all individuals in accordance with equal opportunity employer policies.
AI Solutions Engineer Location: London, Greater London, United Kingdom Hours: 32 - 40 per week Department: Tech & Digital, UK Build AI-powered internal applications on our global Databricks platform. Are you an engineer who enjoys solving operational challenges using AI, automation, and modern application development? Do you thrive in environments where speed, pragmatism, and business impact matter more than unnecessary complexity? At HeadFirst x Impellam, we are looking for an AI Solutions Engineer who works closely with business teams to deliver AI-powered applications that improve how work is done across the organization. In this role, you combine strong software engineering skills with an AI-first approach. You leverage AI coding agents as a force multiplier while maintaining ownership of the architecture, quality, scalability, and user adoption. You build practical applications quickly, integrate them into our global data platform, and continuously improve them based on real-world usage. Your impact As an AI Solutions Engineer, you work at the intersection of business operations, application engineering, and AI enablement. You collaborate closely with departments such as Finance, Sales, Marketing, and HR to gain a detailed understanding of workflows, bottlenecks, and operational pain points. You build applications and automations on our Databricks-centric platform, using shared governance, data products, and AI capabilities as core building blocks. Rather than creating isolated solutions, you contribute to a connected ecosystem where internal tools are scalable, secure, and reusable across regions and teams. A key part of your role is simplifying operational complexity. You identify where repetitive tasks, fragmented processes, or disconnected tools are holding teams back, and replace them with targeted AI-powered workflows, internal applications, and intelligent automations that employees actually use. You work in a highly pragmatic engineering environment where delivering value quickly is essential. This involves building lightweight applications using technologies such as Databricks Apps, Streamlit, Gradio, or FastAPI, while leveraging AI agents to accelerate development cycles and reduce delivery time from weeks to days. At the same time, you work closely with the Platform, Data, and Reliability teams to ensure that the solutions you build comply with engineering standards regarding governance, observability, scalability, and operational reliability. What you will do Work closely with business teams to understand operational workflows, pain points, and opportunities for automation. Deliver internal tools, AI-powered applications, and process digitization initiatives with a strong focus on usability and adoption. Build solutions on top of the Databricks ecosystem using notebooks, jobs, Delta tables, Unity Catalog, Lakebase, and Vector Search. Develop lightweight data applications using Streamlit, Gradio, FastAPI, Databricks Apps, or similar Python-native tools. Guide AI coding agents to generate, refine, and validate production-ready code while maintaining engineering quality standards. Translate business requirements into practical technical solutions that can be delivered quickly and refined continuously. Create or customise AI agents, orchestration workflows, and intelligent automation capabilities. Improve operational workflows using automation platforms such as Microsoft Power Automate or similar tools. Implement observability and monitoring capabilities using Grafana and industry-standard telemetry practices. Identify issues in production, resolve them quickly, and continuously improve solutions based on user feedback and adoption patterns. Collaborate with Platform, Data, and Engineering teams to ensure that applications integrate seamlessly with the broader platform architecture. Contribute reusable patterns, workflows, and engineering practices that improve delivery speed across teams. About the role and HeadFirst Group You will be part of a growing AI-focused engineering team at HeadFirst x Impellam, working closely with the Global Platform, Data, and Engineering teams. While embedded within the business domains you support, you will operate within a shared international platform and engineering framework. By working with technologies such as Databricks, AI coding agents, and modern Python-native application tools, you help accelerate the organization's transformation into an AI-enabled and operationally intelligent business. This role offers exposure to a wide range of business domains, modern AI engineering practices, and highly pragmatic application development in a fast-paced international environment. Here's what we offer you Competitive salary commensurate with experience. 8.33% vacation pay and 27 vacation days per year. Hybrid working model with a 60/40 split: three days in the office, two days working from home. Full pension premium coverage. Performance bonus: annual bonus of one or two months' salary based on performance. Monthly allowances for internet, vitality budget, lunch contribution, and support for home office setup. What we expect from you Several years of experience developing internal tools, business automation solutions, or process digitization solutions in enterprise environments. Hands on experience with Databricks, including notebooks, jobs, Delta tables, Unity Catalog, Databricks Apps, Lakebase, or Vector Search. Extensive experience with Python-based application development and lightweight engineering frameworks. Familiarity with Streamlit, Gradio, FastAPI, dbt, or similar tools for rapidly building internal applications. Experience using AI coding agents or AI-assisted development workflows in day-to-day engineering work. Understanding of large language models (LLMs), prompts, orchestration patterns, and AI agent concepts. Familiarity with workflow automation platforms such as Microsoft Power Automate. Experience managing applications from development through to operational support and user adoption. Working knowledge of observability tools such as Grafana and modern monitoring practices. Ability to evaluate, improve, and maintain code across multiple stacks and technologies. Comfortable working closely with non technical stakeholders in embedded business environments. Familiarity with TypeScript, React, Next.js, or Tailwind is a plus for specialized internal application use cases. What you bring as a professional Strong functional empathy and the ability to understand operational challenges before proposing solutions. A pragmatic mindset focused on delivering usable results quickly and iteratively. Ownership from initial concept through to production implementation and continuous improvement. Clear communication with technical, operational, and business audiences. An interest in AI-native engineering and modern application development workflows. A collaborative approach that balances speed, scalability, and engineering quality. Adaptability in fast-paced environments where priorities and opportunities change rapidly. Disclaimer This position is open to all individuals in accordance with equal opportunity employer policies.