Site Manager

Knowit Group

Build modern Lakehouse solutions with real impact Are you a Data engineer or architect with a passion for Databricks and modern data platforms? Join Knowit in Malmö and help shape scalable, secure, and future ready Lakehouse solutions for leading organizations. Databricks Specialist at Knowit As a Databricks Specialist, you will design and build modern data platforms using Databricks and Lakehouse architecture. You will work across the full data lifecycle, from ingestion to advanced analytics, with a strong focus on performance, governance, and scalability. You will be part of Knowit Solutions Lakehouse, our national initiative across Malmö, Gothenburg, and Stockholm, where we bring together top expertise in Databricks and modern data architecture to deliver strategically important solutions for our clients. Your main responsibilities include: * Designing and implementing Databricks based Lakehouse solutions * Building and optimizing data pipelines for both batch and streaming data * Structuring data for analytics, AI, and ML use cases * Implementing and managing Unity Catalog for data governance * Collaborating with cross functional teams and client stakeholders * Contributing to architecture decisions and best practices in Data engineering Our tech stack, tools and ways of working * Databricks, Azure, AWS * Python, SQL, Apache Spark * Lakehouse, Delta Lake, Unity Catalog * DBT, Airflow * CI and CD, Git, Infrastructure as Code We value continuous learning and encourage you to grow within the Databricks ecosystem. Who are we looking for? We are looking for someone with experience in Data engineering, from mid level Data engineers to senior architects. You have: * Hands on experience with Databricks and cloud platforms * Solid skills in Python and SQL * A curious mindset and a collaborative approach Experience with AI and ML is a plus. What does Knowit Lakehouse offer in Malmö? Knowit is a Databricks partner and we collaborate closely on competence development, initiatives, and client engagements. You will work both in project deliveries and on site with clients, combining long term ownership with hands on experience in complex environments. As part of Knowit Solutions Lakehouse, you will contribute to a growing national capability and work with some of Sweden’s most technology driven organizations. Your closest manager will be COO Emil Raue, an experienced leader in data and consulting, known for his clear and technically grounded leadership and strong employee feedback. We offer a flexible work environment, a strong knowledge sharing culture, and great opportunities to grow within Databricks, Lakehouse, and modern Data engineering. Ready to take the next step? Join Knowit in Malmö and be part of building the next generation of data driven solutions with Databricks and Lakehouse. We look forward to your application!

Securitas

Securitas Group Securitas is a world-leading safety and security solutions partner that helps make your world a safer place. By leveraging technology in partnership with our clients, we offer a broad portfolio of value-enhancing services and solutions integrated across the security value chain – from on-site services to advanced monitoring, comprehensive risk prediction and advisory services. With around 322 000 employees in 44 markets, our innovative, holistic approach with local and global expertise makes us a trusted business partner to many of the world’s best-known companies. Benefitting from almost nine decades of deep experience and guided by our values of integrity, vigilance, and helpfulness, we create sustainable value by helping our clients optimize their operations and protect what matters most - their people and assets. AI Team at Securitas At Securitas, our colleagues show up every day to help keep communities and organizations safe. Our job in the AI team is to make sure they're equipped with the best tools and intelligence possible. We are Securitas' Specialized AI Team - the internal center of excellence for advanced, custom AI. We don't work on generic tools or off-the-shelf solutions. We build the AI capabilities that require deep technical and domain expertise, and that directly move the needle on how Securitas operates at scale. ---------------------------------------------------------------------------------------------------------------------------------- About the role You will be a key technical voice in a small, focused team - someone who shapes how we approach problems, not just solves them. You'll lead the design, development, and production deployment of ML and GenAI solutions that turn raw data into actionable intelligence across a range of real-world problems. The stack we work with Python · PyTorch · LLMs (OpenAI, Gemini, Claude, open-source) · RAG pipelines, Hugging Face · Python analytical tools (DuckDB, polars, Pandas, and more) · Streamlit & Dash · Claude Code · GitHub Copilot · React · Databricks · Docker · SQL/NoSQL · Azure/GCP ---------------------------------------------------------------------------------------------------------------------------------- Responsibilities * Owning the architecture of LLM-powered pipelines that extract structure and insight from large volumes of unstructured text, such as incident reports, operational logs, client data. * Designing and stress-testing end-to-end GenAI architectures (e.g. RAG), prompt strategies, and evaluation frameworks - relevance, faithfulness, hallucination rates, latency tradeoffs - and setting the bar for what "good" looks like on the team. * Building and productionizing workforce management models - demand forecasting, shift scheduling optimization, and attrition modeling - that help deploy officers more effectively. * Developing client churn models that give the business early, actionable retention signals. * Driving the end-to-end ML lifecycle: from problem framing and data strategy through to monitored, production-grade systems. * Translating ambiguous business problems into concrete technical roadmaps - and pushing back when the framing is wrong. * Mentoring junior data scientists and setting technical standards across the team. * Presenting findings, model behavior, and tradeoffs to senior stakeholders clearly and credibly. ---------------------------------------------------------------------------------------------------------------------------------- What you'll bring Must-haves * Around 5+ years of professional data science experience, with a clear track record of successes. * Deep Python skills and strong software engineering habits - your code is readable, tested, and maintainable. * Advanced NLP experience and hands-on work with LLMs at a level beyond prompt experimentation - fine-tuning, evaluation, deployment. * A rigorous approach to GenAI evaluation: you've built frameworks to measure output quality, catch failure modes, and make principled tradeoffs with full lifecycle thinking. * Experience with MLOps fundamentals: deployment, serving, and monitoring of models, CI/CD, Docker, application and service logging, and reproducible pipelines. * Using modern AI coding tools to work as a highly productive data scientist - rapidly exploring ideas, writing and refactoring code, and debugging faster while keeping a critical eye on outputs. * Strong analytical instincts - you can tell when a result is too good to be true and you know how to find out why. * Communication skills sharp enough to run a stakeholder presentation and a code review on the same day. Nice-to-haves * Experience with Databricks for large-scale data processing and collaborative workflows. * Familiarity with LLM evaluation frameworks (Ragas, LangSmith, or similar). * Hands-on experience with forecasting and optimization problems - scheduling, demand planning, or similar. * Experience building interactive data tools for end users, including front-end design, authentication layers, and logging. * Background in a domain where decisions have real operational consequences - logistics, healthcare, security, or similar. ---------------------------------------------------------------------------------------------------------------------------------- Working conditions The role is open for candidates based in Malmö or Stockholm (with preference for applicants in Malmö). It's a hybrid working model. ---------------------------------------------------------------------------------------------------------------------------------- What we offer At Securitas we believe in doing the right thing and doing it well. For our customers and our employees. Our employees come from all walks of life and bring with them many talents and perspectives. We aim for diverse representation throughout the company, and we are committed to equal pay, safe working conditions, gender balance and an inclusive work environment with a wide range of skills and development opportunities. If this sounds like the right next step in your professional career, don't hesitate and apply!

Voi Technology

Your mission at Voi The Site Manager is responsible for ensuring our operations run as smoothly, safely and efficiently as possible by leading our fleet operations team. In this role, you will be responsible for our Warehouse in London and you will play an integral part in Voi’s performance by combining people management with process improvement and execution. This will include: * Supervising and ensuring high performance in the teams, fostering a sense of teamwork and belonging across all warehouses.  * Ensuring best in class standards for our scooters by working with the team to make sure we provide the highest service for our end users. * Collaborate with internal stakeholders to plan and structure the workflow in the field and warehouses, including shift planning, following up on performance and implementing standard operating procedures. * Working hands-on with the maintenance and repairs of vehicles to ensure a high-quality standard, extend vehicle lifetime and minimise cost. * Act as a safety role model and work actively to create and maintain a safe work environment. You will be managing all the people in our warehouses.  * Be the point of contact for external parties, e.g., 3PLs, landlords, staffing agencies and local business associations. * Collaborate with our Talent Acquisition in screening and interviewing new team members, owning their onboarding and training them on in-field and warehouse tasks What you'll need to embark We’re looking for a leader with a proactive and strategic mindset who also enjoys working hands-on and has experience working with multiple projects and stakeholders in a fast-paced environment. In addition to being fluent in English, we believe the right person has: * 3+ years of previous work experience within logistics, operations etc, preferably in a high pace environment  * Experience from managing large teams * General knowledge of digital work tools (MS-office, G-suite, ERP systems) and data tools (e.g. Tableau). * Curious about new technology and AI, and confident using digital tools to streamline your daily work. * General understanding of business management, financial and leadership principles. * Excellent communication skills, leadership training and conflict resolution. * A valid driver's license for UK Why Voi? Working at Voi is more than just a job; Our People Promise includes a personal Voiage where you will grow as a professional and be a part of a team and culture that builds something meaningful for society. In addition to this, you’ll have the opportunity to: * Join Europe's #1 micromobility company * Get “skin in the game” through our employee options program and play a crucial part in developing our warehouses * Have a direct impact on our continued success and the development of the micromobility industry in the UK. * Work with inspiring, motivated and fun colleagues towards a common goal