Data Strategy & Engieering

Redeploy AB

TL;DR → You guide organisations through technology-driven change, clarifying priorities, shaping direction and making strategy executable. → Consultant role across the Nordics, with clients spanning industries from financial services to manufacturing. → You work alongside platform engineers, data engineers and AI engineers, bridging leadership, product and technical teams. → Certifications without a debate. Colleagues who are obsessed with the craft. Freedom to grow your way. What you'll do You’ll be part of our Strategy team, guiding organisations through technology-driven change with a focus on making strategy executable. Your work centres on clarifying priorities, shaping direction and ensuring that cloud, data and AI initiatives create measurable impact rather than remaining conceptual ambitions. You're involved before the engagement exists. You help shape how projects are scoped and won, contributing in sales and RFP stages where the problem is still being defined. Once work kicks off, you're often the one driving it forward: owning delivery, managing stakeholders and making sure things don't stall. Our teams build and scale platforms on Azure, AWS and Databricks. Your role is to define how those investments land in practice — staying close to both strategic framing and delivery realities, aligning leadership with engineering, and deepening client relationships beyond a single engagement. A few examples of what this looks like in practice: Building cloud and data foundations that enable analytics and AI at scale Modernising enterprise data estates and reducing reliance on legacy platforms Framing governance and roadmaps for responsible AI adoption Designing operating models that align engineering, product and leadership needs The bar for what "done" means here is high: measurable outcomes, not slide decks. 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 strategic challenges in two years here than most consultants see in five. Work that's hard to come by elsewhere. Strategy consultants here stay close to delivery, you won't hand off a roadmap and disappear. You'll shape direction while real engineering is happening around you. And right now, agentic AI in enterprise environments is one of the most technically demanding spaces in the industry. You'll be in the middle of it. Your direction, your call. Go deeper into a domain. AI strategy, data strategy or platform modernisation and become the person clients call when the problem is unclear. Or grow toward leading client relationships, shaping Redeploy's strategy practice and taking on more executive-level advisory. 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 have a technical foundation, and that matters here, because the transformation programmes you lead are technically complex. You pair that background with sharp analytical thinking, the ability to navigate large and messy stakeholder landscapes, and a communication style that creates influence rather than just alignment. You like working close to clients. Where others present recommendations, you stay in the room, adjusting, challenging, earning trust through the quality of your thinking. You're drawn to environments where things are moving fast and direction isn't fully set. AI is reshaping how enterprises operate, and you want to be the one helping shape that trajectory, not watching from the sidelines. What you bring Technical background (e.g. data engineering, cloud, architecture, analytics) with the ability to connect technology choices to business outcomes Experience in consulting or advisory roles, supporting clients through technology-driven change in multi-stakeholder environments Strong analytical and problem-solving ability. You bring structure to ambiguity and clarity to complex decisions Confident communicator who adapts messaging across engineering, product and leadership audiences Strong plus: hands-on experience with AI/ML, LLMs or GenAI strategy; data platform modernisation; cloud platforms (Azure, AWS, GCP), experience in regulated industries, 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.

Carbon Compensate, Scandinavia AB

About the role Carbon Compensate Scandinavia AB is a Stockholm-based technology company. We are hiring a Head of Product and Technology to own the strategy, development, and delivery of our product and technology functions. This role combines product leadership and engineering oversight to build and scale software platforms that leverage state-of-the-art AI technologies and integrate them into real-world applications, enabling businesses to get set up or making existing businesses more efficient. You will set the technical direction of the company's AI initiatives and ensure the product roadmap aligns with business objectives and customer needs. Key responsibilities Define and execute the product vision, strategy, and roadmap across web and mobile platforms Lead the design, architecture, and delivery of the company's technology infrastructure and applications Manage and mentor engineering and product team members, including internal staff and external contractors Oversee the full product development lifecycle from discovery and specification through release and iteration Establish and maintain engineering standards, incident management processes, and operational reliability practices Translate business goals into technical requirements and measurable product outcomes Drive experimentation and data-informed decision-making to improve key performance indicators Own key technical and product metrics and report on performance to the executive team Evaluate and integrate third-party tools, platforms, and vendors to support company operations Collaborate with commercial, operations, and leadership functions to align product delivery with business strategy Manage data security, privacy, and compliance considerations across the technology stack Qualifications University degree in computer science, engineering, or a related technical field, or equivalent professional experience 7+ years of experience leading engineering and product teams Proven track record of building and scaling software products Strong technical foundation across software architecture, application development, and platform systems Demonstrated ability to lead cross-functional teams and manage distributed contributors Experience setting operating cadences, engineering standards, and delivery processes Strategic thinker with the ability to balance long-term vision and hands-on execution Terms Employment type: Permanent, full time Working hours: Full time, in accordance with Swedish labor regulations Location: Stockholm, Sweden How to apply Send your CV and a short introduction to Jonatan.carlsson@gmail.com by 27th July 2026. Please include "Head of Product and Technology" in the subject line. Contact person: Jonatan Carlsson, Hiring Manager, Jonatan.carlsson@gmail.com

Tyche Consulting AB

Location: Stockholm, Sweden (Flexible/Hybrid) Employment Type: Full-time Language: English About Us We are a fast-growing IT consultancy dedicated to delivering cutting-edge expertise to industry-leading clients. Our mission is simple: empower organizations to build scalable, data-driven products that elevate user experience, optimize operations, and unlock business performance through modern AI and advanced analytics. As we scale, we are looking for a seasoned Senior AI & Data Scientist to join our elite team of experts and help shape the future of our AI offerings. The Role & Responsibilities As a Senior AI & Data Scientist, you will own the full AI lifecycle—from initial research and development to deployment and production monitoring. You will collaborate closely with product managers, engineers, and business stakeholders to turn complex data into competitive advantages. Key Responsibilities: Model Development: Design and deploy advanced Machine Learning models for business optimization, predictive analytics (forecasting/classification), and recommendation systems. Generative AI: Build next-generation, LLM-based applications utilizing RAG and Agentic AI architectures. Data & ML Ops: Design scalable ETL/feature engineering pipelines and build production-ready ML pipelines with CI/CD workflows. Deployment: Deploy and manage ML models efficiently using Docker and Kubernetes. Domain Solutions: Develop specialized AI solutions for fraud detection, risk analysis, and customer personalization. Strategic Impact: Analyze large-scale datasets to generate actionable business insights and actively contribute to our clients' long-term AI strategies. Required Qualifications To thrive in this role, you should bring a strong blend of theoretical knowledge and hands-on production experience. Education: Degree in Computer Science, Computer Engineering, Data Science, or a related quantitative field. Experience: 6–8+ years of professional experience in Data Science, Machine Learning, or AI Engineering. Core Tech: Exceptional programming skills in Python and strong proficiency in SQL. ML/Stats: Deep understanding of Machine Learning algorithms, statistical modeling, and predictive analytics. Cloud & Infrastructure: Hands-on experience with cloud platforms (GCP, AWS, or Azure) alongside Docker and Kubernetes. Data Engineering: Experience building production-grade ML pipelines and working with distributed data platforms like Databricks. Best Practices: Strong version control habits (Git) and experience with CI/CD pipelines. Soft Skills: Excellent English communication skills, with the ability to translate complex technical concepts for business stakeholders. Preferred Qualifications (Nice to Have) Experience with any of the following tools and concepts is considered a distinct advantage: GenAI Stack: LangChain, LlamaIndex, RAG architectures, and Agentic AI. MLOps Tools: MLflow, Kubeflow, Airflow, and Feature Stores. Data Tools: DBT, BigQuery, and real-time data processing frameworks. Specialized Analytics: A/B testing, customer analytics, and fraud detection. What We Offer Compensation: Salary plus a very attractive bonus package based on performance. Flexibility: A flexible working environment that supports a healthy work-life balance. Impact: A direct opportunity to shape the AI strategy for major global brands. Culture: A vibrant, collaborative, and international team environment. Growth: Structured professional development opportunities and clear paths for long-term career progression.