Software Engineer - Analytics Hub

Apotea

Tech Innovation at Apotea Apotea is Sweden’s largest online pharmacy. We are rebuilding our core platform on a modern cloud-native architecture and investing in our technology stack. In Tech, our vision is to move toward AI-first, automated and data-driven systems — not by adding AI on top of legacy workflows, but by redesigning how software is built and operated. We focus on scalable, observable systems owned by engineers end-to-end. We are now looking for Senior Full-Stack Software Engineers who want ownership, impact and engineering challenges. The Role As a Senior Full-Stack Software Engineer, you will design, build and operate distributed backend systems and modern frontend applications that power Apotea’s core products and emerging AI-driven experiences. You will own the full software lifecycle: architecture, implementation, deployment, monitoring and improvement — from database design and backend services in Go to frontend experiences for teams and customers. You will work with data engineers, ML engineers, product managers and business stakeholders to turn problems into production systems, including agentic AI applications where software agents interact with data, services and workflows. Key Responsibilities Full-Stack System Design & Implementation: * Design and build backend services in Go for distributed, cloud-native applications. * Build frontend applications that connect users to data, workflows and AI-powered capabilities. * Build APIs and event-driven components across e-commerce, logistics, data and AI platforms. * Design systems with scalability, resilience and observability in mind. Database Design & Data Ownership: * Design application-level data models and database schemas. * Make informed trade-offs between storage approaches. * Understand query patterns and performance implications. * Integrate operational systems with analytics and ML pipelines. Agentic AI Applications: * Build production-grade agentic AI applications that integrate LLMs with real systems and workflows. * Design services that enable AI agents to act safely with business data. * Collaborate with ML and data engineers to operationalize AI in real products — not demos. * Help define guardrails and patterns for reliable AI-driven systems. Engineering Excellence: * Write clean, maintainable, production-quality code across backend and frontend. * Participate in code reviews and architectural discussions. * Build automated tests and CI/CD pipelines. * Take responsibility for production reliability and incident resolution. * Improve engineering standards, tooling and AI-assisted coding workflows. We are looking for someone with: * Strong experience as a Senior Full-Stack Software Engineer building production systems. * Proven experience with Go (Golang) in backend environments. * Solid understanding of distributed systems and modern architectures. * Experience building frontend applications. * Experience with database design and application data modeling. * Strong fundamentals: testing, versioning, CI/CD, documentation and code quality. * Ownership mindset and ability to balance speed and quality. * Excellent communication skills and collaborative attitude. Nice to Have * Experience with A/B testing or experimentation frameworks. * Familiarity with event-driven architectures and streaming systems. * Experience with AWS and cloud-native architectures. * Experience building AI-powered or agentic applications. * Exposure to high-scale e-commerce, logistics or data-heavy environments. * Knowledge of Infrastructure as Code, such as Terraform, CDK or CloudFormation. Why Join Apotea? * A stable, future-focused company with a meaningful mission to improve healthcare accessibility. * Work on AI, ML and automation projects that impact millions of customers. * Work with modern cloud-native, automated and event-driven systems. * Join a flat, agile organization with minimal bureaucracy. * Grow through training, mentorship and industry conferences. * Collaborate in a transparent, cross-functional environment. * Own projects from concept to deployment. About Apotea Apotea.se is Sweden’s largest online pharmacy. We simplify everyday life for customers with fast deliveries, a broad product range and expert advice. In 2024, Apotea reached a turnover of SEK 6.5 billion and employs about 1,000 people across Stockholm, Lidingö and Morgongåva. Apotea is an inclusive employer that values diversity. We welcome all applicants and strive to create a work environment where everyone can thrive and grow. Recruitment Process 1. Apply 2. Interview: Screening 3. Interview: Technical Capabilities 4. Interview: Culture Fit 5. Background Check: As a pharmacy, we always conduct a background check. 6. Offer Presented Application Send in your application today. For more information, visit our career page or contact us at jobb@apotea.se. We do not accept applications via email. Join Us and Make a Difference - We hope you want to be part of our team! Interviews are ongoing, and the position may be filled immediately. Start date by agreement. Location: Sveavägen 168, Stockholm, Sweden (On-site) Open Positions: 4 Welcome to Apotea – where technology meets health and creates magic!

Quartr

Quartr is a software company serving the world of finance. Every day, leading companies and financial institutions worldwide use our products to research faster and understand deeper. For too long, markets have been obsessed with numbers. Everyone has access to the same quantitative data, while qualitative insights – the words, the signals, the nuance – have remained mostly in the shadows. We make those insights accessible, searchable, and actionable. Our products are used daily by some of the most sophisticated teams in finance and tech, including major hedge funds and Magnificent 7 companies, and over a million finance professionals have downloaded our mobile app. We're backed by some of the smartest minds in our industry and growing fast at a global scale, and we're still at the very beginning of what we expect to be a multi-decade journey. Now, we are looking for a Data Engineer to join our new Data Catalog team and play a key role in building the data backbone that powers Quartr's financial intelligence. You'll own the systems that keep our data consistent, queryable, and discoverable across an evolving landscape of storage and indexing technologies. WHAT YOU'LL DO * Design, build, and operate production database systems with a focus on reliability, performance, and correctness at scale. * Architect and maintain real-time sync pipelines between primary databases and secondary query stores (e.g., search, vector, graph, analytics). * Own schema versioning and distribution. Packaging, publishing, and evolving database and event schemas across teams. * Evaluate and integrate secondary indexing technologies as the needs of our AI-powered products change. * Collaborate with product, data, and infrastructure teams to ensure data is accurate, consistent, and accessible in near real time. WHO YOU ARE * A deep generalist on the data infrastructure side with genuine expertise in how databases behave under real production conditions. * Self-driven and confident, taking full ownership of your work. * Pragmatic but quality-conscious, knowing when to move fast and when to build for the long term. * Based in Sweden with a valid work permit. REQUIRED SKILLS * Hands-on relational database experience: query optimization, schema design, scaling, and operational concerns. Strong SQL experience is also required. * Proven experience syncing databases in near real time, database-to-database or database-to-query-store (e.g., Typesense, Elasticsearch) * Experience with at least one secondary indexing category: search, vector, graph, or analytics. * Cloud infrastructure experience, preferably AWS. A plus, but not required * Experience with CDC and event streaming technologies such as Kafka or NATS. * Familiarity with data catalog or data platform tooling, e.g., Confluent, Databricks, Redpanda, or similar. * Python or TypeScript proficiency. WHAT WE OFFER  * Do your life's work: The world's leading finance professionals use Quartr daily. We do fewer things better and hold a very high bar for quality. * Join the foundational team: We're still at the very beginning of a multi-decade journey. You'll have a big influence on product, culture, and how we win. * Meritocracy over hierarchy: You'll join a culture where the best idea wins. We value clear thinking, leave ego at the door, and obsess over the details. * Office culture with flexibility: Join us in one of our offices. We value being together, while also offering the flexibility to work from home when needed. * Compensation & well-being: We offer competitive salaries, benefits, and a generous wellness allowance to support your physical and mental health. We include occupational pension for all employees in Sweden.

Schibsted

JOIN THE DATA & AI JOURNEY AT SCHIBSTED MEDIA Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We're looking for a Data Engineer to join our Data Infrastructure team and help build the shared data platform that powers analytics and AI across Schibsted Media. Our team enables data teams to build trusted, scalable, and well-governed data products. In this role, you will work at the intersection of data engineering and platform engineering. You'll help improve our data platform while also contributing to trusted data models, modern data pipelines, and engineering practices used across the organization. You will join the Data & AI organization, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. ABOUT THE ROLE We're looking for someone with 4+ years of experience who enjoys building solid data solutions while improving the shared data platform that enables teams across Schibsted Media. You'll work with technologies such as Snowflake, dbt, Airflow, and Python to develop shared tooling, maintain platform capabilities, and contribute to modern data engineering practices. You'll also help deploy and manage cloud infrastructure, automate operational tasks, and continuously improve the reliability and scalability of our platform. While prior infrastructure experience is a plus, we're looking for someone who is eager to learn and grow in this area. WHAT YOU'LL DO * Collaborate with Data & AI teams to understand platform needs and deliver scalable data solutions * Design, build, and improve shared data platform capabilities, developer tooling, data pipelines, and automation using technologies such as Snowflake, dbt, Airflow, and Python * Support and evolve our Privacy Compliance Platform, helping enable secure, compliant, and governed access to data across Schibsted Media * Deploy, maintain, and improve cloud infrastructure using Infrastructure as Code and modern automation practices * Improve reliability, observability, performance, cost-efficiency, and scalability of our data platform * Develop reusable templates, tooling, and documentation that enable self-service across Data & AI teams * Develop maintainable data models that support analytics, reporting, and AI use cases * Contribute to good practices for data modeling, transformation, testing, documentation, and governance * Participate in code reviews, technical discussions, and continuous improvement of our ways of working * Contribute to a culture of ownership, learning, and collaboration WHAT WE'RE LOOKING FOR MUST HAVE * 4+ years of experience as a Data Engineer or similar role * Strong SQL skills and a good understanding of modern data warehousing concepts * Experience building data pipelines and working with orchestration tools such as Airflow or similar * Hands-on experience with dbt and modern data transformation practices * Experience with Python for data engineering or automation * Experience with Git and modern software engineering practices * Ability to take ownership of tasks and deliver maintainable solutions * Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. * Collaborative mindset and willingness to learn from and contribute to the team NICE TO HAVE * Experience with software engineering practices such as automated testing, CI/CD, and code review workflows * Experience with Snowflake or similar cloud data platforms * Experience with Infrastructure as Code (Terraform or similar) * Experience with AWS, GCP, or Azure * Interest in data quality, observability, governance, or platform engineering WHY JOIN US? * Build the platform that enables data and AI across Schibsted Media * Work with modern technologies and experienced engineers across multiple teams * Flexible working hours and hybrid work options with strong trust and autonomy * International environment with offices in Oslo, Stockholm, and Krakow * Strong learning culture with learning budget and active engineering & AI communities * Access to Schibsted's premium media products, including news and podcasts ABOUT YOU You enjoy turning technical challenges into simple, maintainable solutions. You're passionate about improving the developer experience and building reusable solutions that help other engineers move faster. You care about building reliable systems, but also understand that great engineering is about collaboration, continuous improvement, and enabling others to succeed. You're curious, take ownership of your work, and enjoy helping build the platform that supports trusted data products across Schibsted Media.