Job Description About Us: HiBob helps modern, mid-size businesses transform the way they manage people, giving HR and managers all they need to connect, engage, develop, and retain top talent. Since 2015, we've achieved consecutive triple-digit year-over-year growth, all backed by our amazing team of Bobbers from across the globe, making us the choice HRIS of over ~5500 midsize and multinational companies. Our HR platform is intuitive, data-driven, and built for the way people work today: globally, remotely, and collaboratively. Fast-growing companies across the globe such as Monzo, Happy Socks, Fiverr, and VaynerMedia rely upon Bob to help them create the best work experiences for their people. Come and be you with us Being a Bobber is all about being you. We want you to bring all parts of yourself to work, giving you the freedom and confidence to be the best you and do your best work. If that's bubbly, shy, precise, funny, bold, kind, honest, brilliant, or anything in between, we're waiting with open arms. Come join us. We are seeking a Data Infrastructure Team Lead to join our Platform group. In this role, you will build and lead the team responsible for HiBob's data infrastructure foundation - the systems that power our product experiences, trusted analytics, AI capabilities, and enterprise-scale operations. Data infrastructure at HiBob is not just about moving data from one place to another. It is about building reliable, scalable, and secure infrastructure that helps product and engineering teams move faster, enables smarter customer-facing experiences, supports trusted business decisions, and creates the foundation for safe AI adoption across the company. This is a leadership role for someone who stays close to the technology: setting direction, guiding architecture, reviewing designs, contributing to critical decisions, and working with the team through complex production and scaling challenges. You will design and evolve scalable, reliable, secure, and AI-ready data systems, including orchestration, streaming, distributed storage, analytical infrastructure, metadata and governance capabilities, and permission-aware data access for sensitive HR data. About the Platform group: The Platform Group accelerates HiBob's productivity by providing developers with tools, frameworks, and infrastructure services. We design, build, and operate critical systems that allow our platform to scale reliably, securely, and efficiently. As part of this group, the Data Infrastructure team owns foundational capabilities that enable product teams, analytics teams, and AI-driven initiatives to use data safely and effectively. We focus on building reusable infrastructure, strong engineering practices, and scalable platforms that help the entire engineering organization move faster. As the Data Infra Team Lead, you will help shape the technical foundation for HiBob's next stage of growth, including enterprise-scale data systems, trusted analytics, and AI-ready infrastructure. Job Requirements - Proven experience designing, building, and operating large-scale data infrastructure in production environments. - Strong engineering fundamentals in databases, distributed systems, concurrency, storage, and reliability. - Strong knowledge of analytical engines, columnar databases, and data warehouse/lakehouse architectures. - Experience with data orchestration tools and distributed storage solutions. - Understanding of data security, privacy, governance, lineage, auditability, and access control. - Ability to make pragmatic architecture decisions, balance maitenance-vs-delivery tradeoffs, and optimize for scalability, reliability, simplicity, and cost. - Proven ability to lead a team, mentor engineers, communicate clearly, and work effectively with cross-functional stakeholders. - Experience building infrastructure for data pipelines, orchestration, streaming, analytical workloads, and large-scale data processing. - Experience with observability, monitoring, alerting, incident management, SLOs, and production operations for data systems. - Strong understanding of AI-ready data platforms, including metadata, semantic layers, retrieval patterns, data quality, governance, and permission-aware access to data. - Expertise with relational databases; PostgreSQL experience is a plus. - Hands-on experience with streaming systems such as Apache Kafka or equivalent technologies. Bonus Skills - Experience with cloud-based data infrastructure solutions, such as AWS or GCP. - Familiarity with Kubernetes. - Experience with modern lakehouse technologies, open table formats, metadata catalogs, or data governance platforms. - Experience supporting AI, ML, LLM, semantic search, or agentic product use cases on top of production data. - Experience building multi-tenant SaaS infrastructure, especially with sensitive or permission-heavy data. - Experience with cost optimization and FinOps practices for data platforms. - Experience creating internal developer platforms, self-service data tooling, or paved-road infrastructure for engineering teams. Job Responsibilities - Develop, mentor, and lead a high-performing Data Infrastructure team, combining people leadership with deep technical involvement in architecture, design, delivery, and production operations. - Own and evolve the data infrastructure foundation that powers HiBob's product experiences, trusted analytics, AI capabilities, and enterprise-scale operations. - Design, implement, and operate scalable, reliable, and secure data systems across orchestration, distributed storage, streaming infrastructure, analytical engines, metadata/catalog capabilities, and data serving layers. - Build reusable, AI-ready data platform capabilities that enable teams to safely work with trusted company data, including sensitive HR data, permission-aware access, data quality, lineage, auditability, and clear ownership models. - Partner with product, engineering, security, analytics, and AI-focused teams to turn business needs into pragmatic platform capabilities that improve product velocity, customer experience, enterprise readiness, and operational efficiency. Benefits HiBob is a village filled with amazing people and we're especially proud of that. It's a place where Bobbers can be themselves. We're about fun, dreams, hopes and ambition, just as much as we are about precision, growth, and top performance. Becoming a Bobber means you'll receive competitive Total Reward offer including: Financial & Equity Incentives Equity Plan: Participation in the Company Share Options Plan Social Contributions and Keren Hishtalmut Employee Referral Program: $2,500 for each successful hire Wolt Benefit (meal card): ₪1,000 per month Health, Wellness Private Health Insurance: Comprehensive premium medical coverage Sick Leave: Full payment from the first day of illness Wellness Benefits: Annual Headspace subscription and dedicated wellness programs Preventive Screening: Health screenings for employees aged 40+ Work-Life Balance & Leave ⚖️ Paid Time Off: Competitive paid time off policy HiBaby: 3 weeks of additional fully paid bounding time for new parents Bob Balance Days: 4 additional company-wide "long weekend" days (one per quarter) Social Impact: 2 paid days per year for volunteering and social contribution Work from Anywhere: Temporary remote work option for up to 2 months (available after 6 months of tenure). Birthday Day Off: Enjoy a day off during your birthday month Hybrid Work & Office Environment Hybrid Model: A flexible balance between office and home-based work Home Office Allowance: One-time stipend to ensure an ergonomic and productive home setup Transportation: Monthly travel allowance or parking arrangements Pet-Friendly: Dog-friendly office environment to support a stress-free workplace Culture & Growth Social Events: Regular team-building and company-wide events, both local and global Professional Growth: A culture built on precision, performance, and ambitious career scaling If this sounds like something you've been looking for, we'd love to have you. Come on, join our village

• Develop new ETL scripts using python to gather and validate data from a variety of sources e.g. APIs, web scraping. • Work with our data engineering team to deploy ETL scripts within our orchestrated data platform based on Dagster and BigQuery. • Help run, maintain, and improve existing data pipelines • Help ensure that our pipelines are written using best coding and data practices • Help ensure Ember’s data and output are of the highest standard

Role Description Use your coding and data skills to work on the most important challenge of our time: shifting the world to clean energy. Ember publishes the best-in-class dataset on global electricity generation and the data team is growing as we expand our datasets to new areas such as installed renewable capacity, price, battery storage, grids and flexibility, EV and heat pump deployment. We are looking for someone to use their data and coding skills to ensure we can quickly gather and curate data from new sources, as well as helping to run, maintain and document existing data pipelines. This role offers an exciting opportunity to learn from a knowledgeable and passionate team of engineers and analysts while applying your development skills towards the clean energy transition. Key Responsibilities - Develop new ETL scripts using Python to gather and validate data from a variety of sources e.g. APIs, web scraping. - Work with our data engineering team to deploy ETL scripts within our orchestrated data platform based on Dagster and BigQuery. - Help run, maintain, and improve existing data pipelines. - Help ensure that our pipelines are written using best coding and data practices. - Help ensure Ember’s data and output are of the highest standard. Qualifications - At least one year experience developing and deploying Python code. - Experience working with SQL databases. - Numerate and data literate, with excellent data extraction and transformation skills. - A thoughtful and selective approach to the use of AI coding tools and the ability to critically evaluate their outputs. - Fluent in spoken and written English. - Passionate about clean energy. - Driven and keen to learn. - Systematic with careful attention to detail. - Ability to work as part of a remote international team. Requirements - Experience developing data pipelines on an orchestration platform such as Dagster (preferred), Airflow, dbt or Prefect. - Experience with version control software such as Git. - Experience working on cloud platforms, such as GCP (preferred), AWS or Azure. - Experience working with business users to turn research questions into specific data requirements, and developing to those requirements. - Other language skills. - Previous experience within the power sector or clean energy sector. Benefits - We operate a nine-day fortnight meaning our full-time staff are given every other Friday off work with no reduction in pay. - 25 days holiday, plus UK bank holidays (unless local statutory minimums are higher) and for each year that you're part of the team at Ember you'll receive an additional day of holiday, up to a maximum of 5 additional days. - Generous paid maternity and paternity leave. - Flexible working conditions, including the opportunity for part-time work and home working. - Access to a local working space can also be arranged for employees. - Free annual eye tests. - Access to a counselling service. - Funding and allocated time for your training and development. - Paid volunteer day. - Four paid days off to enable low carbon travel. - Time off to donate blood. Company Description Ember is an independent, not-for-profit energy think tank that aims to accelerate the clean energy transition with data and policy. We gather, curate and analyse data on the power sector and coal mine methane emissions, and use our findings to improve energy and climate policy. See our work at ember-energy.org and @ember_energy .

Role Description ProArch is seeking an experienced Senior AI Engineer to lead the design and development of AI/Data solutions, services, and reusable accelerators. This role is engineering-first, with approximately 50–75% of time focused on building solutions and 25–50% supporting presales activities including discovery, architecture definition, and client interactions. The ideal candidate will combine strong hands-on engineering expertise with solution architecture capability, with a focus on AI agents and modern data platforms. - Lead development of AI/Data solutions, accelerators, and reusable service offerings - Design and implement production-grade PoCs, MVPs, and scalable frameworks - Architect end-to-end solutions across data pipelines, storage, semantic models, and AI layers - Develop AI agents using Azure AI Foundry including orchestration, tool integration, and grounding - Implement advanced AI patterns including RAG and multi-agent workflows - Ensure solutions are scalable, secure, and governed (RBAC, monitoring, evaluation) - Drive reusable solution patterns and internal IP creation - Collaborate with delivery teams to transition solutions into production - Support pre-sales activities including workshops, proposals, and demos - Communicate solution value to both technical and business stakeholders Qualifications - Strong experience in Data Engineering, AI Engineering, or Full-Stack Engineering - Expertise in Python/.Net, SQL, and distributed systems (Spark preferred) - Experience building large-scale data platforms and pipelines - Hands-on experience with Azure Data + AI ecosystem (Fabric, Synapse, Databricks) - Experience with LLMs, embeddings, vector search, and RAG architecture - Experience with agent orchestration frameworks such as Semantic Kernel or LangChain or similar - Strong solution architecture and design thinking capability - Expertise of observability practices including Application Insights/OpenTelemetry - Ability to communicate clearly in written and verbal form; comfortable presenting technical concepts to technical and non-technical audiences - Ability to translate business problems into scalable technical solutions - Strong analytical and problem-solving abilities - Stakeholder management and collaboration skills - Proactive, self-driven, and customer-focused mindset Requirements - Preferred Qualifications: - Microsoft Fabric experience (Lakehouse, OneLake concepts, semantic models) - Experience with CI/CD for data/AI workloads and basic MLOps/LLMOps practices - Understanding of identity and access management patterns (Entra ID, managed identities, service principals) - Exposure to Agent evaluation frameworks