
EQT · London
ABOUT THE TEAM EQT Digital is a specialist team of ~25 people globally embedded within EQT's Deal Services function, working across the full investment lifecyc...
EQT Digital is a specialist team of ~25 people globally embedded within EQT's Deal Services function, working across the full
investment lifecycle to drive digital and AI-enabled value creation within EQT's portfolio. We focus on the larger companies in
EQT's private equity and infrastructure buy-out funds, partnering closely with deal teams, portfolio company leadership and
external advisors to translate technology capability into commercial outcomes.
As a team, we operate at the intersection of data, technology and value creation, and we are building the internal infrastructure
to make our collective knowledge compound over time. This internship would be a direct contribution to that effort.
EQT Digital has started defining a target architecture for its internal knowledge and intelligence layer: a structured, queryable
data asset that captures technology, AI and digital project intelligence across EQT's portfolio. The goal is a data layer that
every team member can access and continuously enrich, and that can be selectively surfaced to the broader EQT organisation and
portfolio companies to generate insight from unique knowledge from our (mostly) unstructured data.
As an AI Engineer Intern, you will own the data pipelines to ingest unstructured data, parse and extract information, and design a
data model that ensures the system is appropriately set up for users to consume on different interfaces.
documents, slides, and internal correspondence (email, messaging platforms), applying prompt engineering techniques to maximize
accuracy and consistency across document types and formats
checks
extended
You are a Master's student with hands-on AI engineering experience and a strong instinct for building things that solve users’
problems and can be productized. You are comfortable with ambiguity, ask questions before writing any code, and can reason about
how solutions or features bring value to the team (in order to arbitrate & prioritize requests).
process of completing your Master), with practical AI engineering experience beyond coursework
evaluate output quality, and how to iterate when results are inconsistent
informed decisions
tools such as Dust
about what we do is important
We aim to work in sprints, defining which data sources are priority to ingest as part of our knowledge base and then working from
raw ingestion through to a working consumption interface, with a data model designed, pipeline automated, and output queryable by
the team. A successful internship means several of those data sources are ingested in the knowledge base and in active use by the
accessible via at least one interface. Extraction quality is measurable and documented: the team can see what confidence looks
like and trust the output
The order of data sources and the scope of each iteration will be agreed at the start and re-evaluated regularly. We stay agile:
if an earlier source surfaces unexpected complexity, we adapt rather than push through
Duration: 6 months (flexible depending on availability and academic calendar)
Location: London
Start date: September or October 2026, Visa Sponsorship available
Inclusion at EQT
Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment
where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just
about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a
business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and
team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment
outcomes.
About EQT
EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global
mindset, EQT has a track record of over three decades of developing companies across multiple geographies, sectors and strategies.
EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has EUR 270 billion
in total assets under management (EUR 141 billion in fee-generating assets under management), within two business segments –
Private Capital and Real Assets.
With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of
strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the
mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. EQT has
offices in more than 25 countries across Europe, Asia and the Americas and has more than 1,900 employees.
More info: www.eqtgroup.com
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ABOUT THIS ROLE The Pub/Sub team owns the core backend that underpins Ably's entire edge messaging platform. This is a rare opportunity to work on genuinely hard distributed systems problems at planet scale; designing and improving the infrastructure that developers and their users depend on in production every day. You'll be hands-on, driving the development of new functionality and initiatives to scale and improve Ably's core Pub/Sub platform. We work in an AI-first engineering culture: AI tools are part of how we plan, prototype, and iterate - but engineers own every technical decision, and human judgment is the quality bar that everything is measured against. You can read more about the core concepts of working on a truly distributed system in our blog post here. DAY TO DAY YOU WILL * Deliver key platform functionality. You'll work across Ably's realtime products including our low-level Pub/Sub APIs, our LiveObjects state synchronisation layer, and AI Transport, the messaging backbone purpose-built for AI agent communication, focussing on shipping new features, performance improvements, bug fixes and maintenance. * Work fluently with AI tooling. You'll use AI tools for planning, spike work, code generation, and documentation, while taking full ownership of correctness, architectural quality, and what actually ships. Fast iteration is expected; shortcuts in quality are not. * Solve hard distributed systems problems. You'll collaborate with a talented engineering team to work through genuinely interesting and challenging technical problems. * Stay driven by 'Developer First' principles. You'll work closely with other engineers to identify and address the most important problems developers face when building on Ably. * Push to see your work in customers' hands. You'll move with urgency to ship, because you care about the impact your work has on the developers and companies building on our platform. WE'D LOVE TO TALK IF YOU HAVE * A strong interest in, or direct experience with, distributed systems and large-scale infrastructure. * Experience working with or building messaging queues, pub/sub systems, or streaming systems at scale. * Extensive experience with a high-level server-side language (Node.js or Go preferred). * The ability to self-start, work through ambiguity, and make good decisions without a lot of hand-holding. * A practical relationship with AI tooling. You use it to go faster and think more clearly, and you know where to apply rigour that AI alone can't provide. * A transparent, collaborative 'build in the open' mindset. You're comfortable sharing your work publicly, whether that's writing about what you're building, talking about technical decisions, or contributing to the broader developer conversation around the problems Ably solves. * Experience in dynamic, early-stage environments where adaptability and resourcefulness are core skills. BONUS POINTS IF YOU HAVE * Experience building developer-first products. * Experience with products brought to market through a product-led growth approach. WHAT’S IT LIKE TO WORK AT ABLY? We’re tackling planet-scale problems and our ambitions are a testament to that. You’ll join a successful, deeply motivated and collaborative team that thrives on innovation, experimentation and autonomy. To get a sense of life at Ably, visit our careers page. You can also read about the origins of Ably's core values on our blog. We believe in fostering a culture that's built on inclusivity and mutual respect among all team members, and we recognise that each individual is different and will want to be supported in their role in different ways. We provide a range of perks and benefits to aid folks' development and wellbeing, allowing them to be their best selves and do great work. * A remote-first and flexible work environment. UK-based teams come together in person once per month in our London hub (next to Old Street) and we get together as a company twice per year. Aside from that, you’re welcome to work wherever suits best for you. * Equity. We’re a growing start-up and we want all team to members to share in the success of the company through our EMI share options programme. * Enhanced holiday allowance. Our policy provides Ablyans with 28 days of paid annual leave (27 regular days, plus a day off to enjoy your birthday). * Enhanced parental leave package, so that you can take the time you need to get to know your new family member, rest and recover. * Home workstation budget of £500 on joining (and £150 p/a thereafter), so that your home office is set up to serve you well and that you have everything you need to work comfortably. * Personal learning and development budget of £1000 annually, and 5% L&D time during working hours to focus on improving your skillset. * Private healthcare with BUPA. * Medical cash plan to cover a range medical and dental costs. * Mental wellbeing coaching and counselling from Self Space. * Monthly wellbeing budget via Juno. * Life assurance and income protection. * Access to Tech & Cycle to Work schemes. * Weekly snack allowance for our end-of-week “Need To Know” meeting. * A fully-paid one-month sabbatical after five years with Ably. DIVERSITY, INCLUSION & BELONGING AT ABLY We believe our differences as individuals is what makes us great. Our people are at the heart of what we do, and we encourage everyone to be their most authentic self at Ably: we see inclusivity and openness as fundamental to creating long-term success as an organization. We encourage applications from all backgrounds regardless of age, disability, gender, sexual orientation, parental status, race, religion, educational background or neurodiversity. Ably has an amazing opportunity ahead of us, and we want anyone to be able to contribute to that opportunity. If you enjoy working as part of a technology company, value open source, and love solving hard problems - then we’d love to hear from you, regardless of whether you fit the job description exactly or not. If in doubt, drop us an email; we’d be more than happy to give you some advice on your application.
ABOUT THE OPPORTUNITY Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers. At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent Senior Software Engineer - Machine Learning (f/m/d) who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team. WHAT TO EXPECT? * Measure and ensure the high-quality output of ML workloads for our enterprise customers. * Design, build, and measure production software in the Contentful Platform. * Conduct focused research and testing using tools like Jupyter Notebook. * Optimize generative AI products for accuracy, speed, and scalability. * Integrate ML cloud solutions and adapt them to our large-scale use cases. * Integrate prompt engineering and fine-tuning for customer use cases. * Develop software that scales to meet the demands of high-load customer workloads. * Lead design reviews with peers and stakeholders to decide amongst available technologies. * Drive the ML education in the team and establish a high standard of quality & ownership WHAT YOU NEED TO BE SUCCESSFUL? * Proven experience as a technical leader in a product software development environment * Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads * Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs * Ability to organize and prioritize competing workloads * Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP) * Solid understanding of machine learning principles * Experience with container frameworks such as Docker or Kubernetes * Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth. * Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest Preferred: * Background includes machine learning and AI implementation * You can translate a research paper into a PoC if the code does not exist WHAT’S IN IT FOR YOU? * Join an ambitious tech company reshaping the way people build digital experiences * Full-time employees receive Stock Options for the opportunity to share in the success of our company * Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family. * We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days * Time off to care for and focus on your growing family * Use your personal annual education budget to improve your skills and grow in your career * Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties * An annual wellbeing stipend to care for your physical, financial, or emotional health * A monthly communication phone/internet stipend and phone hardware upgrade reimbursement. * New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best. WHO ARE WE? Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide. EVERYONE IS WELCOME HERE! “Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us! If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know. Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at security-esk@contentful.com with any information you may have. By clicking “Apply for this job,” I acknowledge that I have read the “Contentful’s Candidate Privacy Notice” and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
ANALYTICS ENGINEER ABOUT THE ROLE We’re looking for an experienced Analytics Engineer to help build the next generation of Contentful’s analytics foundation, powering Insight 360, our unified Snowflake-based data platform. In this role, you’ll design and maintain robust, scalable data models that make our business data accessible and actionable across all teams. You’ll collaborate with engineers, analysts, and business stakeholders to deliver high-quality, trusted datasets that enable data-driven decision-making across the company. Your work will sit at the heart of Contentful’s data evolution, helping us move to a modern, governed, and insight-led architecture. KEY RESPONSIBILITIES Data Modeling & Transformation * Design, build, and maintain efficient, scalable analytics models in dbt and Snowflake. * Transform raw data from diverse domains (product, finance, sales, marketing, operations) into analytics-ready structures. * Apply best practices in modularity, documentation, and testing to ensure long-term reliability. Pipeline Ownership * Take ownership of analytics engineering projects end-to-end: from scoping requirements through implementation and monitoring. * Develop reusable, maintainable data transformations that enable self-serve analytics in Tableau and other BI tools. Enablement & Collaboration * Partner with analysts, data scientists, and business teams to define and deliver trusted data assets. * Collaborate with data platform engineers to optimize performance, governance, and cost efficiency in Snowflake. * Contribute to the shared data catalog and drive adoption of best practices across analytics and engineering teams. WHAT YOU’LL NEED REQUIRED * Experience: 3+ years in analytics engineering, data engineering, or BI development in a modern data stack environment. * Data Modeling: Proven expertise with SQL to build modular and well-documented data models in dbt. Understanding of various data modeling techniques. * Warehouse Experience: Deep knowledge of Snowflake (warehouses, roles, virtual warehouses, performance tuning). * Collaboration: Strong ability to work cross-functionally with analysts, engineers, and business stakeholders to translate needs into technical solutions. * Data Ops: Experience applying version control, testing, and observability practices in dbt or similar frameworks. PREFERRED * Visualization: Experience structuring data for BI tools such as Tableau, focusing on scalability and performance. * Ingestion & Orchestration: Familiarity with Airflow, or similar tools for data ingestion and orchestration. * Reverse ETL: Working knowledge of tools like Hightouch for operationalizing insights back into business systems (e.g., Salesforce, Gainsight). * Governance: Understanding of data cataloging, lineage, and documentation using tools like Atlan What’s in it for you * Join an ambitious tech company reshaping the way people build digital experiences * Full-time employees receive Stock Options for the opportunity to share in the success of our company * Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family. * We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days * Time off to care for and focus on your growing family * Use your personal annual education budget to improve your skills and grow in your career * Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties * An annual wellbeing stipend to care for your physical, financial, or emotional health * A monthly communication phone/internet stipend and phone hardware upgrade reimbursement. * New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best. WHO ARE WE? Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide. EVERYONE IS WELCOME HERE! “Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us! If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know. Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at security-esk@contentful.com with any information you may have. By clicking “Apply for this job,” I acknowledge that I have read the “Contentful’s Candidate Privacy Notice” and hereby consent to the collection, processing, use, and storage of my personal information as described therein.