
Apron · London
ABOUT APRON Apron is building something game-changing. Founded in 2021, Apron set out to help SMBs win. Small businesses are the backbone of the economy, yet ...
Apron is building something game-changing.
Founded in 2021, Apron set out to help SMBs win. Small businesses are the backbone of the economy, yet the systems they rely on —
particularly around payments — are slow, manual and not built for them. The biggest threat to a small business is cash flow, often
stemming from a gap between the demands payments put on owners and their ability to make those payments effectively.
Apron changes that. We're closing the gap by digitising and simplifying the payments process: capturing invoices, issuing expense
cards, paying and getting paid, all in one place.
We've grown fast over the past few years, expanding our team to circa 100 people across the UK, Germany, Spain and beyond. We're
backed by Index Ventures, Bessemer Venture Partners, Zinal Growth and Tony Fadell, having raised $50m to date.
The ambition from here isn't incremental. Apron is building a category-defining, global fintech business with a clear path to
significant revenue scale and international expansion. Getting there takes more than a great product — it takes a world-class
team, and that starts with how we hire.
We're looking for a mid level Tech Recruiter to join our Talent team on a full-time basis and help power Apron's next stage of
growth. Apron was named the #1 fastest growing fintech (Sifted 100) across the UK & Ireland in 2026, and as we scale further, we
need a sharp, sourcing-led recruiter who can take real ownership of our hiring.
This is a great role for someone who's already comfortable running full-cycle technical recruitment and wants more autonomy, more
variety, and a seat closer to the business — without the need of managing a team.
You'll work closely with our hiring managers across Engineering, Product and Data, owning searches end-to-end and helping shape
how we find, engage and close great people in a competitive market.
Engineers, Product Managers, Product Designers and Data Analysts.
candidate sources.
managers and the wider Talent team.
isn't right.
team.
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get replies.
norm.
while taking real ownership.
Nice to have: experience hiring in a regulated or payments-adjacent business, or exposure to recruiting for AI/ML roles
💷 Competitive salary + meaningful stock options
📈 Pension plan with Nest
🏥 Health insurance (including optical and dental cover), life assurance
🚼 Enhanced parental leave
🥗 Weekly Deliveroo allowance
🌴 29 days holiday (on top of bank holidays)
☕ Flexible working hours
📍 Hybrid working — 3 days a week in our London (Liverpool Street) office
🚲 Cycle to Work scheme, Electric Vehicle scheme
Straightforward, transparent, and run at your pace — with feedback within 24 hours at every stage.
1. Intro call with our Recruiter (30 min)
2. Task/case study — a real sourcing or hiring scenario
3. Interview with a future hiring manager (60 min)
4. Final interview with Leadership (45 min)
5. Offer 🔥
About Modo Energy The energy transition is the biggest infrastructure buildout in human history. Modo Energy is the data platform at the centre of it. We build the benchmarking, forecasting, and valuation tools that the world's most serious energy investors, developers, and operators depend on to make decisions. If a battery gets financed, built, or traded anywhere in the world, there's a good chance Modo data was in the room. Founded in 2019, we're 80+ people across London, New York, Sydney, and Madrid; $30M Series B, AI-native, and moving fast. This is a rare chance to join a category-defining company at the moment it's scaling globally. From the Founder "I care deeply about talent. I will never compromise on the bar. Every bad hire costs us money, time, and reputation. I need a recruiter who feels the same way — who can spot A-players instantly, say 'no' to mediocrity, and help us scale without lowering our standards." The Role We're a small People team, and we're hiring a Recruiter to help us scale through the next phase. This is a full-cycle generalist role: you'll own searches across both technical and commercial functions, from sourcing to close. You'll report to and work directly with the Head of Operations, partnering with hiring managers across engineering, product, pre and post-sales. This is a real seat at the table: you'll advise on what good looks like, push back when a role isn't ready, and hold the bar. What You'll Do * Own full-cycle hiring for technical and commercial roles across London and New York * Partner with hiring managers to define role scope, success criteria, and sourcing strategy — shape briefs, don't just execute them * Run structured, consistent processes that move fast without compromising quality * Use data to understand what's working: pipeline health, conversion rates, and quality of hire * Deliver a candidate experience that reflects Modo — clear, honest, and fast * Help develop how the recruiting function operates as we grow What You Bring * A couple years of full-cycle recruiting experience, with a mix of technical and commercial hiring * A startup or scaleup background - you know how to hire well without much infrastructure behind you * Experience in or genuine enthusiasm for the energy and cleantech sector - this is the market we care about, and it helps to care too * Strong instincts for what makes a good hire - you advise rather than just execute * Data literacy: you track your pipeline, know your numbers, and use them to improve * Low ego, high ownership, bias to action - you push back when something's off and own it when things don't go right * This is an early hire in a deliberately small team. Spend 6-12 months getting deeply embedded across the People function at Modo, and there’s a chance that this could grow into a People leadership role. Important Details We are an in-person company. Everyone works in the office Tuesday through Thursday, with flexibility on Mondays and Fridays. Modo offers a competitive salary, potentially life-changing equity, and top-of-market benefits. Modo Energy is an equal opportunity employer. Our employment decisions are made on the basis of qualifications, merit, and business need. We do not discriminate based on age, national origin, disability, race, religion, pregnancy, sexual orientation, gender identity, veteran status, or any other characteristic protected by applicable law. If you need assistance with your application or the interview process, please contact us at careers@modoenergy.com. What You Can Expect From Us At Modo Energy, we believe that exceptional work deserves exceptional reward. We're a high-performance team; ambitious, collaborative, and genuinely motivated by the scale of what we're trying to build. You'll have real ownership from day one, work alongside some of the brightest people in the industry, and be part of a company that's defining a new category in the global energy market. We're hybrid: everyone works Tuesday to Thursday in office, with Monday and Friday flexible. We offer top-of-market compensation, equity for every employee, and the space to take your career wherever you want it to go. We're looking for people who want to do the best work of their careers. If that's you, we want to talk.
Req ID - FEQ427R59 Location: London Recruiter: Kanwal Matharu At Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! You will be reporting to the Manager, Field Engineering. The impact you will have: * Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect. * Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications. * Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups. * Become a Big Data Analytics advisor on aspects of architecture and design. * Support your customers by authoring reference architectures, how-tos, and demo applications. * Develop both technically and in pre-sales, with the goal of becoming an independently operating Solutions Architect. What we look for: * Experience, technical customer-facing and with a background in Data Science / Generative AI / Machine Learning / Data Warehousing or Data Engineering. * You will be working in the following any of the following vertical sectors: * Real-money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality. * Manufacturing, Energy, Utilities and Industrials * Travel, Transport and Logistics * Financial Services and Insurance * Public Sector * Consumer Package Goods (CPG) / Retail * Any experience in Pre-sales or post-sales experience working with external clients * Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. * Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset. * Code in a core programming language such as Python, Java, or Scala. * Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform (AWS, GCP, Azure). * Experience diving deeper into solution architecture and design. * The role requires travel to customer sites in the UK. Travelling approx. 20-30% of the time * Nice to have: Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Req ID: FEQ327R439 x 2 New roles Recruiter: Dina Hussain Location: London (or surrounding areas) At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world! You will be reporting to the Manager, Field Engineering. The impact you will have: * Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect. * Gain excitement from clients about Databricks through hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd party applications. * Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet-ups. * Become a Big Data Analytics advisor on aspects of architecture and design. * Support your customers by authoring reference architectures, how-tos, and demo applications. * Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect. What we look for: * Experience, technical customer-facing and with a background ideally in Data Science / Generative AI / Machine Learning, but will also consider Data Warehousing or Data Engineering. * You will be working in the following any of the following vertical sectors: * Entertainment, Media, Telco and/or Hospitality. * Financial Services and Insurance (FSI) * Retail / CPG (Consumer Package Goods) * Any experience in Pre-sales or post-sales experience working with external clients * Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes. * Ability to independently deliver a technical proposition, identify customers' pain points and explain important areas for business value to develop a trusted advisor skillset. * Code in a core programming language such as PySpark, Python, Java, or Scala. * Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform (AWS, GCP, Azure). * Experience diving deeper into solution architecture and design. * The role requires travel to customer sites in the UK. Travelling approx. 20-30% of the time * Nice to have: Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.