Data Engineer to Kreditz

Knowit AB (Publ)

Build modern data platforms with Databricks at the center Do you want to work hands-on with Databricks and deepen your expertise in data engineering? At Knowit, we are looking for a Databricks Specialist / Data Engineer who wants to help build scalable, modern data solutions with Databricks and Python as a central part of the solution. About the role as a Databricks Specialist at Knowit In this role at Knowit Lakehouse in Stockholm, you will help our clients design, build, and orchestrate modern cloud-based data platforms. Databricks will be a key part of these solutions, and you will have the opportunity to explore new features, approaches, and best practices within the platform. You will join a strong competence network within Cloud, Data, and AI, where collaboration, knowledge sharing, and ongoing technical development are part of everyday work. As a Databricks partner, we work closely with the platform and stay up to date with new capabilities. Your main responsibilities will include: Designing and developing scalable data platforms based on Databricks and Lakehouse architecture Building, optimizing, and orchestrating data pipelines using Python and PySpark Working with data governance and management through Unity Catalog Integrating data with BI, AI, and ML solutions to create real business value Supporting clients in establishing secure, robust, and future-proof data engineering solutions Our tech stack / tools and ways of working Data platform: Databricks Programming: Python, PySpark Cloud platforms: Azure, AWS, and Google Cloud Data architecture: Lakehouse, modern data platforms AI & Analytics: integrations with BI, AI, and machine learning We believe in flexibility and continuous learning. You are not expected to know everything from day one your willingness to grow is just as important as your current technical skills. Who are we looking for? We are looking for someone with a solid foundation in data engineering and several years of experience working as a Data Engineer in modern data environments. You have a genuine interest in Databricks and want to continue deepening your expertise within the platform and its ecosystem. As a person, you are curious, solution-oriented, and enjoy tackling complex technical challenges. You have strong skills in Python and PySpark and are comfortable working with cloud-based data platforms. Experience with data governance and orchestration, for example using Unity Catalog, is a plus. Previous experience in a consulting role is also considered an advantage, as well as an interest in or experience with AI and machine learning. You enjoy collaboration, knowledge sharing, and working closely with both colleagues and clients to create solutions that deliver real business value.

RaySearch Laboratories AB (publ)

RaySearch develops innovative software solutions to improve cancer care. About 1000 clinics in more than 40 countries use RaySearch software to improve treatments and quality of life for patients. RaySearch was founded in 2000 and is listed on Nasdaq Stockholm. The headquarters is located in Stockholm, with subsidiaries in the US, Europe and Asia - Pacific. Today we are more than 400 employees with a common vision of improving cancer care with innovative software. Our great staff is crucial for our success and we offer a fantastic working environment in modern offices, flexibility and good opportunities for development. We believe in equal opportunities, value diversity and work actively to prevent discrimination. RaySearch develops software that supports cancer treatment at hospitals and radiotherapy clinics worldwide. We are looking for a Senior Data Engineer to work on RayIntelligence, an oncology analytics platform helping radiotherapy clinics turn data into actionable insights.About RayIntelligence Radiotherapy clinics generate large amounts of clinical and operational data every day, but much of this information remains difficult to access, analyze, and act upon. RayIntelligence is designed specifically for radiotherapy clinics, bringing together data from treatment planning systems, oncology information systems, and other clinical and operational sources. The platform enables clinics to analyze treatment workflows, patient volumes, machine utilization, resource planning, treatment patterns, and long-term outcomes. By making data more accessible and reliable, RayIntelligence helps clinics understand their operations, learn from past treatments, and continuously improve care. For healthcare analytics to create value, clinics need confidence in the data they use. RayIntelligence ensures consistent metrics, understandable insights, and traceable data from source to result. Already deployed at customer sites, the platform is continuously expanding its analytical capabilities and adoption worldwide. About the Role The role spans data ingestion, integration, transformation, analytical data modeling, and the implementation of new analytics use cases. Working in healthcare brings unique engineering challenges. Data quality, traceability, reproducibility, validation, and risk management are key aspects of our software development process. While RayIntelligence is not a medical device, we apply many of the same engineering principles and quality practices used across RaySearch. Unlike internal analytics teams, we are building a product for environments where we do not control the source systems. This requires us to handle limited access to real-world customer data, variations between customer environments, and the challenge of creating analytics that clinics can understand and trust. Today, the platform focuses on analytics and reporting use cases, with future AI and machine learning capabilities building on the foundations being developed. RaySearch supports the use of modern AI-assisted development tools where appropriate, while maintaining the quality standards and engineering rigor required in healthcare software. Responsibilities Capture and integrate data from clinical and operational source systems Design, build, and maintain data ingestion and transformation pipelines Develop analytical data models supporting product capabilities and customer use cases Implement new analytics capabilities using SQL and Python Contribute to architecture and design decisions related to scalability, maintainability, and data quality Improve observability, traceability, and reliability across the platform Ensure that metrics, transformations, and data flows can be understood, tested, and verified Participate in validation, testing, and risk-management activities appropriate for healthcare software environments Technology Stack Our platform includes technologies and programming languages such as: Python & SQL PostgreSQL & SQL Server dbt AWS CDC-based ingestion Apache Superset Your Profile  We believe successful candidates will typically have experience in several of the following areas: SQL development Python development Data engineering and ELT/ETL development Data modeling and data warehousing Experience applying software engineering best practices to data platforms and production systems Translating product and analytical requirements into robust technical solutions Working with data quality, observability, testing, or traceability in production data systems Formal education in Computer Science, Engineering, Mathematics, or a related field is beneficial. Equivalent practical experience is equally valued Seniority is typically demonstrated through several years of professional experience designing, building, and operating production data systems Our Culture At RaySearch, we share a passion for innovation and the fight against cancer. Our team consists of dedicated experts who strive to deliver exceptional results through collaboration, attention to detail, and cutting-edge technology. We take pride in our role as a leader in cancer treatment, developing solutions that truly make a difference for patients worldwide. Our Offer We offer a dynamic and inclusive work environment in Hagastaden, Stockholm’s Life Science Hub. Our modern office space includes an in-house gym, yoga classes, and social activities such as ping pong, table football, and after-work events. We also provide a fantastic lunch buffet, daily fika, and a stunning rooftop terrace with a 360-degree view of Stockholm. This comes with a competitive compensation and benefits package. Application Please apply for the position through the application form below. We do not accept applications via e-mail.

Stegra Boden AB

Studies show that women and underrepresented groups often hesitate to apply unless they meet every requirement. At Stegra, we’re building an impact-driven, sustainable company - and we need a diverse, inclusive team to make it happen. If you share our passion but don’t meet every qualification, we encourage you to apply anyway. You might be the perfect fit for this role, or another as we grow. At Stegra, we’re not just building a plant, we’re proving that sustainable industry is possible. And to do that, we need people like you. Join a team where safety comes first. Where we support each other, learn as we go, and make space for everyone to grow and contribute. This is your chance to be part of something big - while being closer to nature and leading a balanced, purposeful life. What you’ll do We are building a next-generation steel plant - and data is a core part of how we operate, optimize, and scale. We believe the best data solutions are created close to the business, by teams who understand both the context and the technology. We are now looking for a Data Engineer to join our Digital Domain supporting Finance and HR. In this role, you will work at the intersection of business and technology - helping shape how data is modeled, shared, and used to drive decisions across the organization. You will be part of a cross-functional team where business experts, analysts, and developers collaborate closely. Together, you will build data products that are reliable, understandable, and designed to be reused across the company - not just for a single use case. At the same time, you will contribute to how we build our data platform and ways of working. We aim to continuously evolve - adapting to new technologies, improving how we design data, and staying aligned with modern best practices. You will also take a leading role in facilitating the data platform roadmap - aligning needs across domains, shaping priorities, and ensuring progress on key initiatives. Responsibilities: Design, build, and maintain data pipelines and products that enable Finance and HR to make reliable, data-driven decisions Work closely with business stakeholders and analysts to translate needs into scalable data models and solutions Help structure and expose data so it is consistent, understandable, and reusable across domains · Take an active role in improving how we work with data across teams - leading and driving improvements to platform capabilities, standards, and patterns Enable self-service use of data by making it accessible and usable beyond engineering teams Make thoughtful trade-offs in how data is designed and delivered - balancing batch vs near-real-time, handling historical data, and shaping metrics and semantics for usability Define and promote best practices for data quality, testing, documentation, and access control Explore how modern tooling, including AI-assisted development, can improve how we build, test, and maintain data products Support and coach colleagues in modern data engineering practices What you’ll bring You enjoy solving real problems and are motivated by building data solutions that are actually used. You are curious about how data platforms should be designed — and how those designs need to evolve as technology and business needs change. We believe you bring many of the following: Several years of experience in data engineering or modern data platform development Experience building end-to-end data solutions (ingestion, storage, transformation, consumption) Interest in contributing beyond your immediate team — shaping shared ways of working, standards, and platform capabilities Strong SQL skills and experience modeling data for analytical use Experience with cloud-based data platforms and infrastructure-as-code Knowledge of engineering practices such as CI/CD, testing, and code review Ability to make sound technical decisions without being tied to specific tools or vendors Interest in areas such as self-service analytics, semantic modeling, temporal data, and data governance Experience working closely with business stakeholders, analysts, or operational teams Strong communication skills and ability to explain technical solutions clearly Nice to have: Experience with, or interest in, industrial/operational (OT) data and how data from physical processes can be used for analytics and optimization Benefits at Stegra At Stegra, you’ll join a company where your work has real impact on the climate, the industry, and future generations. We’re building a culture rooted in safety, trust, and inclusion, where people feel supported to grow and thrive. Here’s what makes this role unique: Breadth, not silos: You’ll work across multiple technical areas - data, architecture, infrastructure and backend - gaining deep understanding of our digital ecosystem. Ownership from day one: You’ll support a specific domain and act as a bridge between operations and tech, and drive solutions all the way from need to implementation and iteration. Close to the action: You’ll collaborate closely with stakeholders, understand their workflows, and ensure your digital solutions create real value in their day-to-day operations. This is Stegra Stegra is on a mission to change the global steel industry by producing green hydrogen, iron, and steel - with the goal of eliminating CO₂ emissions. Instead of coal, we use green hydrogen and fossil-free electricity, meaning our primary emissions will be water and heat. By 2030, our ambition is to produce 5 million tonnes of green steel annually in our fully integrated, digitized, and sustainable plant in Boden, Northern Sweden - currently under construction. But this is just the beginning. Our expertise in green hydrogen will enable us to decarbonize industries beyond steel, paving the way for a cleaner future. Our Stockholm Office Our modern Stockholm office is located on Norra Stationsgatan, close to Karolinska University Hospital in central Stockholm. Here, you’ll find a bright, collaborative workspace where cross-functional teams connect, share ideas, and drive progress. Whether you're visiting regularly or working hybrid, you'll be part of a vibrant office culture with easy access to the city’s energy and amenities.