IT & Software Engineer

ASSA ABLOY Group is a global leader in access solutions, powering secure identities for millions worldwide. Our brands deliver innovative products and services for physical and logical access control, secure authentication, and identity management. We foster a collaborative, inclusive, and dynamic work environment where creativity, learning, and career growth are encouraged. We value leadership at every level, encouraging our team members to take initiative, inspire others, and contribute to a culture of continuous improvement and shared success. We are looking for an AI/ML Engineer to drive the adoption of artificial intelligence across our products and internal engineering workflows. Join our skilled, international team of developers based in Stockholm (Sweden) or Krakow (Poland), dedicated to building next-generation products and access control systems. In this role, you will design, build, and deploy AI-powered product features while also enabling developers to work more efficiently through AI-assisted coding, agent-based systems, and automated workflows. You will work at the intersection of machine learning, software engineering, and product development, turning cutting-edge AI capabilities into practical, scalable solutions that deliver real business value. What you will do as our AI/ML Engineer: Take a proactive leadership role in coordinating AI/ML activities, mentoring junior team members, and sharing expertise to elevate team performance. Introduce AI tools and workflows that improve developer productivity and code quality. Design and implement AI/ML features embedded directly into our products Select, fine-tune, and integrate models (LLMs, classical ML, or hybrid approaches) into production systems. Ensure AI solutions are scalable, reliable, secure, and cost-efficient Build and maintain AI agents to assist with tasks such as Code generation and refactoring, Test creation, Code reviews and static analysis Help to iterate and improve on best practices for AI usage, governance, and responsible AI implementation. The skills and experience you need Minimum 5 years of experience in software engineering role. Solid understanding of ML fundamentals (training, evaluation, deployment) Experience working with large language models (LLMs) and AI APIs Programming experience (Python, Java, Go, or similar). Familiarity with cloud platforms and MLOps practices. Understanding of data pipelines, feature stores, and monitoring Familiarity with Agile development workflows (Scrum, Kanban, XP). Ability to work effectively in international teams, complete tasks with minimal supervision, and demonstrate creativity and a passion for learning. Degree in Computer Science, Software Engineering, or a related field. Strong command of written and spoken English. Nice to have: Experience building multi-agent or tool-using AI systems Knowledge of security evaluation methodologies, cryptography, Secure Elements, secure access control, identification, authentication, and PKI. What we offer: Opportunities to develop leadership skills – including mentoring, project ownership, and participation in strategic initiatives. Competitive salary and annual bonus. Private medical care, life insurance, and MyBenefit cafeteria system. In-house English classes, training budget, and broad learning and career development opportunities. Additional perks: weekly fresh fruit delivery, meal allowance, and discounts on company products. We review applications regularly, so don’t wait We are building diverse, inclusive teams, and encourage applications from everyone who can see themselves working with us. Just set up your profile and apply here. To make sure your personal data is safe, we don’t look at any applications sent by email or post. If you have any questions about the role or the process, email Elżbieta Łątka-Likh, Talent Acquisition Business Partner, at elzbieta.latka-likh@assaabloy.com Let’s create a safer and more open world - together! To find out more about us, visit www.assaabloy.com We are the ASSA ABLOY Group Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 63,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces – physical and virtual – safer, more secure, and easier to access. As an employer, we value results – not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally. As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.

TL;DR → You own the data layer, ingestion, transformation, and modeling that makes analytics, reporting and AI possible. → Consultant role across the Nordics, with clients spanning industries from financial services to manufacturing. → You work in cross functional delivery teams alongside Platform, Analytics and GenAI Developers, each owning a distinct layer of the stack. → Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way. What you'll do As a Data Engineer, you’ll be building the data platforms that everything else depends on. From raw source systems to production-ready models consumed by analysts, ML pipelines, and business users. You own the path data takes to become useful. The work is hands-on Python and SQL, heavy on PySpark, and grounded in Kimball modeling and lakehouse architecture. You come in before the solution is defined. Together with the client, you shape what gets built, then you build it. You'll work in cross-functional delivery teams alongside platform engineers and AI developers, each owning a distinct layer of the stack. A few examples of what this looks like in practice: Building a Kafka-based ingestion framework for a major insurance group, onboarding several thousand tables at scale so multiple downstream teams can actually use the data they need. Lifting an on-prem data warehouse into a cloud-based Databricks lakehouse for a Nordic logistics company, standing up CI/CD, integration, modeling, and quality assurance, then scaling for new use cases. Auditing a manufacturing company's data platform against best practices, delivering a migration plan, then staying on to bring in new sources, optimize workflows, and build out analytics models. The bar for what "done" means here is high: production-grade, observable, secure and used. What you get Assignments that accelerate you. Every 6–18 months you're in a new engagement. New industry, new architecture decisions, new stakeholders to earn trust from. You'll face more distinct technical challenges in two years here than most engineers see in five. Work that's hard to come by elsewhere. Modern data platforms underpinning enterprise AI is one of the most technically demanding spaces right now. The problems here aren't solved yet, and you'll be among the people solving them. Your direction, your call. Want to go deep technically, specialise in Databricks and Spark engineering, platform foundations or analytics engineering? Go for it. Want to grow toward Tech Lead or Solution Architect, steering delivery and building long-term client relationships? Also go for it. Both paths are real and equally valued. People who make you better. The people here are genuinely passionate about technology, not as a job, but as something they care about. Engineers who go deep because they want to, follow the space obsessively, and get restless when things stop moving. That's what keeps Redeploy consistently ahead, and it's what you'll feel from day one. The Perks. 30 days vacation · hybrid work and flexible hours · private medical insurance · pension (ITP1) · wellness allowance 5,000 SEK · free choice of tools and tech · free breakfast, soda and snacks · yearly gatherings and AW's · a team with genuine interests outside work — gaming, food, running, padel, golf, football, cycling Who you are You take ownership, hold yourself to a high standard, and bring real opinions to the table. You communicate clearly with both technical and non-technical stakeholders, and you're energised by the consulting pace, new challenges, new contexts, and the pressure to deliver. We care more about how you think, build and collaborate than whether your background ticks every box. Maybe you come from software development and want to move closer to data. Maybe you've never worked in consulting but you're curious about the variety it brings. Humble enough to play for the team, sharp enough to push back when it matters. What you bring A background in Computer Science, IT, Engineering or equivalent university degree Strong programming skills in Python, with solid experience in SQL and Spark, and a sound understanding of software engineering principles Experience with cloud-based data solutions (Azure preferred, but AWS is also highly relevant) Solid understanding of data structures, modeling and processing Familiarity with data architectures like Lakehouse and Medallion AI-assisted development (you actively use tools like Claude Code, Codex, or similar in your daily work) Strong plus: Databricks or Microsoft Fabric, CI/CD pipelines for data, data governance, graph databases, prior consulting experience, Swedish language skills About Redeploy Redeploy is where cloud, data, and AI come together in production. We help Nordic enterprises design, build, and operate modern tech platforms and AI solutions that are secure, scalable, and production-ready. Engineers at heart, we work hands-on across Azure, AWS, and Databricks from strategy to operations.