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Nordnet is redefining the landscape of savings and investments, guiding over 2.4 million customers in their financial lives. We have spent the last years building a modern data platform and fostering a culture where actionable insights and rapid product refinement are part of our DNA. In our fast-paced environment, this remains a competitive edge - allowing us to ship, learn, and iterate faster than the market Now we are seeking to engage a passionate Data Analyst to join our team. As a Data Analyst at Nordnet, you will be a part of Data & Insights, where you have the opportunity to work alongside Data analysts, Data Scientists, Analytics Engineers and Data Engineers. You will be embedded in our Product development teams, where you will be an integral component, working with designers, product leads and developers. You will deep-dive into our users and our products, and turn data into actionable insights. Our efforts are focused on continuous improvements, experimentation and engaging our customers. We would love it if you feel excited about at least some of these statements. Going beyond a simple questions, defining a problem and understanding the right analytical approach Conduct statistical analyses on our customer -, financial -, and company data to identify patterns of behaviour Design experiments to evaluate various hypotheses and design choices Utilize AI and advanced modeling to scale your impact Craft and present compelling stories that will impact our decision makers Help improve our existing methodologies This is you You are passionate about data and learning new things, and you want to contribute with your experience and ideas. In your work, you are organised, methodical and agile in a way that benefits the team’s working climate and ability to deliver solutions. To thrive in this role, we believe that most of these criteria describes you: Proactive person with self-drive and strong sense of ownership A strong communicator with the ability to engage both technical and non-technical stakeholders Experience of using SQL, Python, R and dbt Hands-on experience with A/B testing Degree in economics, data science, statistics, engineering, mathematics, or similar We think that you have 3+ years experience working as a Data Analyst at a product oriented organisation. We offer Nordnet started from a passionate belief that changing the hierarchical financial world was possible. We became part of redefining the industry when we gave the customers power over their own savings. You will become part of a journey that has only yet started towards the vision of making our customers the best investors they can be. To be leading in Tech is pivotal for that journey and you will work with colleagues who have a great passion for that goal. We have 900+ employees in Stockholm, Oslo, Helsinki and Copenhagen. We cooperate, exchange ideas and use our core competencies in order to continuously improve the way we meet our customers. Open communication, creativity and engagement are important parts of our everyday life at the office. Visit us on www.nordnetab.com,www.nordnet.se, www.nordnet.no, www.nordnet.dk and www.nordnet.fi. Application We will start interviewing immediately. Please note that we do only accept applications through our recruitment system, hence no email applications will be considered. We want to inform you that Nordnet conducts credit and background checks on the final candidate. We look forward to receiving your application!
På Trice vill vi göra skillnad på riktigt och skapa något som håller över tid. Hos de flesta konsultbolag blir du en resurs. Hos oss blir du en problemlösare som faktiskt påverkar. Vi är ett nyfiket och kompetent team som bygger något annorlunda, där teknik möter affär och ledarskap. Just nu växer efterfrågan på data engineering i flera av våra projekt, därför söker vi fler nyfikna problemlösare som vill växa med oss! Om rollen Som Data Engineer hos Trice bygger och underhåller du inte bara data pipelines och data-plattformar i molnet, du bidrar med helhetslösningar som löser våra kunders behov av relevant data av hög kvalitet, redo att användas av både människor och AI-system. Du dyker djupt in i datan, hittar mönster och hjälper användarna att se saker de inte såg förut. Du jobbar nära projektledare, utvecklare och arkitekter för att utveckla våra lösningar, håller dig uppdaterad på ny teknik och nya verktyg och bidrar till att höja den tekniska nivån i projekten. Om dig Du har 5 år+ erfarenhet av data engineering och dataanalys, med fokus på att leverera relevanta, högkvalitativa dataprodukter som stöd för både mänskligt beslutsfattande och automatiserade flöden Du har arbetat med moderna dataplattformar i molnmiljöer (t.ex. data lakehouses, data meshes eller liknande) Du har god förståelse för både batch- och strömbaserad databehandling Du har erfarenhet av att klassificera data och hantera åtkomstkontroll och informationssäkerhet Du är bekväm med att använda AI-assisterade verktyg (t.ex. Cursor, Claude Code, GitHub Copilot) där det är relevant – och att granska kod och arkitektur Det är meriterande om du har erfarenhet från flera molnplattformar (AWS, GCP, Azure) och verktyg som Snowflake, Databricks och dbt Flytande svenska och engelska i tal och skrift Om oss på Trice Välkommen till ett konsultbolag som kombinerar digital spetskompetens med ett långsiktigt värdeskapande för kunder som också bryr sig om meningsfull utveckling. Vi är ett lyhört och snabbrörligt bolag med ca 12 medarbetare på en rolig expansionsresa. Grundade av erfarna ledare med bakgrund från växande scale-up-företag, är vår mission att driva positiv förändring i stor skala. Vi tar oss an komplexa utmaningar med innovativa lösningar och jobbar för en bättre framtid för organisationer i den digitala eran. START: Enligt överenskommelse PLATS: Göteborg OMFATTNING: Heltid LÖN: Fast lön KONTAKT: Senior Recruiter, Mikaela Ehk mikaela.ehk@oddwork.se (för frågor om tjänsten, ej ansökningar) SISTA ANSÖKNINGSDATUM: Urval sker löpande Som ledande byrå inom employer branding och rekrytering är vi här för att revolutionera vår bransch, matcha talanger med företagskulturer och stärka organisationers arbetsgivarvarumärken. Nyfiken på att veta mer? Välkommen in i Oddworks värld genom att klicka här eller hitta fler karriärmöjligheter här.
Are you a passionate Test Automation Engineer and willing to join our team, developing next-generation autonomous vehicle technologies? In this role, you will be responsible for building robust automation frameworks and creating data-driven dashboards to ensure the quality, reliability, and safety of our vehicle functions. If you are excited about autonomous driving, test automation, and transforming complex test data into actionable, real-time insights using tools like Grafana, we'd love to hear from you. Responsibilities Design, develop, and maintain highly scalable automated test scripts and test frameworks for safety-critical vehicle functions. Create and manage Grafana dashboards to visualize test results, system health, and quality KPIs for cross-functional teams. Integrate automated testing pipelines with data visualization and monitoring tools to provide real-time feedback during the development lifecycle. Analyze system and software requirements to define and implement effective automated test strategies. Execute automated tests in simulation and target environments (CI/CD integration). Perform detailed log analysis and evaluate test results, utilizing dashboards to quickly identify defects, anomalies, and root causes. Collaborate with system engineers, developers, and safety engineers to ensure comprehensive automated test coverage and clear reporting. Drive continuous improvement of testing methodologies, automation processes, and telemetry/reporting infrastructure. Qualifications Required Bachelor's or Master's degree in Software Engineering, Computer Science, Electrical Engineering, Mechatronics, or a related field.
PostNord is making a significant investment in strengthening its sustainability and ESG reporting capabilities towards customers as part of our data‑driven transformation. To support this journey, we are building a new ESG data foundation – and we are looking for an ESG Data Analyst to help shape how ESG data is analysed, validated and made usable across the organisation. This is a foundational role where you will analyse, validate and visualise ESG data to support reliable reporting and follow‑up. You will help turn ESG data into clear reports, dashboards and insights that support customer reporting and internal decision‑making. The role sits within the ESG Controlling Team, which is part of Group Finance, but works closely with data engineering and architecture roles. This position is ideal for someone who wants to work close to sustainability and data, take ownership of data quality and analysis, and turn ESG data into clear, trusted reports and dashboards in a purpose‑driven domain. Your role As an ESG Data Analyst, you will: Analyse, validate and interpret ESG and sustainability data for reporting and performance follow up. Develop and maintain ESG reports, dashboards and visualisations, e.g. in Power BI. Ensure traceability and consistency between source data, calculations and reported figures. Design and apply data driven and automatised internal controls to detect anomalies, inconsistencies and reporting risks in ESG data. Identify data quality issues, gaps and inconsistencies, analyse root causes, and drive resolution and problem‑solving together with data and ESG colleagues. Develop and implement automation solutions to improve operational efficiency. Continuously improve ESG reporting, analysis, dashboards and controls in line with evolving requirements and stakeholder needs. Support manual ESG reporting and ad-hoc customer reporting for key customers. Your Team You will be part of the ESG Controlling Team, responsible for internal, external and customer ESG data reporting for PostNord. The team is part of Record to Report within Group Finance, and the role reports to Monica Erichsen, Head of Record to Report. You will also work closely with data engineers, architects, and business stakeholders. Degree in Data Analytics, Statistics or a similar field. Several years of experience working with big data in roles such as Data Analyst, BI Analyst, Reporting Analyst or similar. Experience working with large and complex datasets, preferably in data lake–based environments. Proficiency in data analysis tools such as Excel, Power BI and SQL; Python is a plus. Experience building and maintaining reports and dashboards. Strong analytical skills, with the ability to structure, validate, and analyse large and complex data sets. Experience with data quality checks, internal controls and handling of data uncertainties. Comfortable working in complex and evolving data and regulatory environments, with a pragmatic and structured approach. Strong collaboration skills and experience working cross‑functionally. Fluency in English with strong communication skills; a Nordic language is a plus but not a requirement. Experience working within the sustainability or logistics field is an advantage, but not a requirement. Your profile You are detail‑oriented and have a strong ability to break down complex datasets into clear, actionable insights. You are curious and eager to learn, with a genuine interest in understanding both the data and the business context behind it. You demonstrate a high level of accountability, take initiative, and are comfortable working independently. When you don’t have the answer, you proactively investigate, ask questions and find solutions. You are courageous in your thinking, willing to challenge assumptions, and driven by building data‑driven models that create real value and can be trusted. You are a strong collaborator who values teamwork and collective success, consistently putting the team’s outcomes and shared goals ahead of personal achievements. We offer you At PostNord, you will have a varied role in an international environment characterized by fast decision‑making and new challenges. You will have the opportunity to develop creative solutions with a high degree of individual responsibility and work in a non‑hierarchical, collaborative team where we support each other in achieving our goals. PostNord is one of Sweden’s largest employers and offers secure employment conditions and attractive benefits, including: A flexible hybrid workplace with an open and inclusive working culture Strong opportunities for professional development and career growth Competitive insurance coverage and occupational pension benefits Wellness allowance, as well as access to a gym and swimming pool at our office Employee benefits through the PostNord Plus staff foundation Employment in accordance with collective bargaining agreements We make everyday life simplerPostNord is the leading provider of communication and logistics solutions to, from, and within the Nordic region. Our ambition is to make everyday life simpler and more sustainable for everyone who lives and works in the Nordics. We are responsible, courageous, and committed, and we believe in collaboration, openness, and continuous learning. At PostNord, people from diverse backgrounds work together, contributing to better results and an inclusive working environment. Learn more about us at www.postnord.com. Apply We welcome your application! The selection is ongoing. If you have any questions or need further information, please contact the recruiter at emina.delkic@postnord.com. We look forward to receiving your application! PostNord offers communications and logistics solutions to, from and within the Nordic region. With our expertise and a unique distribution network, we are developing the basis for tomorrow’s communication, e-commerce, distribution and logistics.
Are you passionate about building innovative digital solutions that make a real impact in manufacturing and logistics? Do you enjoy turning ideas into working prototypes and collaborating with both technical experts and business stakeholders? If you're curious, adaptable, and excited by solving complex challenges across the full technology stack, this could be the role for you. About the position We at Perido are now looking for an engaged Full-Stack Generalist to build and deploy applications (as PoC or MVP) that improve production and logistics. The client company is an exciting and forward-thinking company in the automotive industry. The position is based in Södertälje. Your daily tasks In this role, you will develop full-stack software solutions while acting as a trusted technical advisor in a fast-paced innovation environment. You will work on a continuous stream of short, high-impact projects, taking ideas from concept to working prototypes. Together with developers, data scientists, automation engineers, project managers, and solution architects, you will turn business needs into scalable digital solutions for production and logistics. You will: Design, develop, and prototype full-stack applications for industrial and manufacturing environments. Build integrations between shop-floor equipment, OT systems (MQTT, OPC UA, PLCs), and modern IT platforms. Develop cloud-native solutions using technologies such as Docker, Kubernetes, and CI/CD. Collaborate closely with Production, Logistics, IT, and other stakeholders to identify and deliver high-value solutions. Explore and prototype new technologies, including industrial AI use cases, and turn successful concepts into scalable solutions. Build dashboards, web applications, and data visualizations to support data-driven decisions. Present solutions, lead workshops, and share knowledge while promoting engineering best practices. Your characteristics To thrive in this role, you are curious, solution-oriented, and self-driven, with a genuine interest in technology and industrial innovation. You enjoy collaborating with both technical and non-technical stakeholders and can translate business needs into practical solutions. You are a strong communicator who can explain complex ideas in a clear and engaging way, while thriving in a fast-paced environment where adaptability, continuous learning, and turning ideas into tangible results are key. Does this sound like an exciting opportunity? We look forward to reading your application! Qualifications: A Master of Science in Computer Science or similar Strong ability to communicate complex concepts to non-technical audiences Experience working with business or process owners to design, develop, and implement IT-solutions end-to-end A genuine interest in production, logistics, and industrial processes (automotive or similar industry is a plus) A proactive mindset and willingness to take ownership and technical leadership when needed Ability to balance experimentation with robustness and operational requirements Good communication skills in English is required Preferred skills Industrial integration technologies, event driven integrations and system integrations (e.g. MQTT) Backend: skills in e.g. Python are required but more important is to have the ability to switch between technologies Frontend: React, Angular, Vue (or similar) SQL and/or NoSQL databases Cloud environments (AWS, Azure); cloud technologies (Docker, Kubernetes, managing Linux) CI/CD pipelines, Git, and DevOps practices Meritorious Experience with MES, IoT platforms, sensor data, or automation systems Additional language skills such as Swedish is a plus Contract type and hours Full-time consulting assignment for 6-12 months. Start as soon as possible. Contact: charlotte.crowley@perido.se Let us help you take the next step in your career Our vision is to ensure that everyone thrives and feels engaged at work. With us, you will find a wide variety of assignments, where you can either be employed directly by a company or work as a consultant through Perido. We are one of Sweden’s largest consulting firms for professionals, which gives you many opportunities. As a consultant, you become an important part of our organization and contribute your expertise within our clients’ organizations. Read more about us at Perido: https://perido.se/om-oss/ You can find answers to most questions or concerns at perido.se/vanliga-fragor/. If you still cannot find what you are looking for, you are welcome to contact us at fraga@perido.se. Please always include the position reference number 35818 in the subject line. Please note that we only accept applications through our website and that we are unable to provide updates on your application status or disclose the client company if it is not stated in the job advertisement.
Job Description WHAT YOU’LL DO We are looking for a Data Analyst to join our team for a fixed-term duration of 14 months, covering a parental leave. You’ll bring a solid technical foundation, problem-solving aptitude, and a passion for contributing to a collaborative team environment within sustainability topics. The primary focus is developing high-quality analyses that meet our Resource Use and Circularity sustainability needs and technological standards. You will be contributing to the short- and long-term priorities aligned with the PI roadmap. Some of your responsibilities will include Understanding the added value of product / team’s work. Following up OKRs through setting and following up KPIs. Data discovery, building data products, testing and evaluating model outputs, in collaboration closely with other roles in the product / team, i.e. DE, Business Expert, etc. Solving complex problems by turning vast amounts of data into business insights through advanced analytics and effectively communicating findings to a variety of stakeholders. Framing the problem together with stakeholders, exploring large data sets, preparing data for own analysis. Creating and maintaining documentation related to your work to ensure that stakeholders have the necessary information to understand the data & analysis of input/outputs. Sharing knowledge in Communities of Practice, thereby enriching collective understanding and fostering a culture of continuous learning. WHO YOU’LL WORK WITH You will be part of Tech Sustainability team in Corporate Tech Domain. You will work closely with the data analysts from all sustainability areas and the program manager and data engineer from your scope. WHO YOU ARE We are looking for people with… Academic degree in Statistics, Engineering or related field. Proficiency in Power BI as data visualization and reporting tool. High proficiency in SQL. Proven ability to independently lead data projects, maintain strong relationships with business stakeholders, and design technical solutions that address complex business requirements. Strong experience with data modelling, and different connectors for data solutions (Big Query, SharePoint). Experience with Google Cloud environment, data quality and testing. It is also preferred to have... Working knowledge of Python and/or R for data analysis, automation, and statistical modelling. Experience working with sustainability data or CSRD legal reporting. Experience with BigQuery, Dataform, dbt, or similar cloud-based data transformation frameworks. Knowledge of data governance, data lineage, metadata management, and master data management practices. Understanding of sustainability reporting standards and regulations (e.g., CSRD, ESRS). And people who have… Experience working in agile, iterative product development environments. A Proactive, ownership-driven attitude with the ability to manage ambiguity and adapt quickly to change. Curiosity and a continuous improvement mindset. A collaborative approach, always looking for ways to enhance the product and the team’s ways of working. WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. All our employees are included in our H&M Incentive Program (HIP) All our employees receive a staff discount card, usable on all our H&M Group brands in stores and online. Brands covered by the discount are H&M (Beauty and Move included), COS, Weekday, Monki, H&M HOME, & Other Stories, ARKET, Afound. A dynamic, entrepreneurial environment where your insights directly influence strategic decisions. A collaborative culture that values innovation, continuous learning, and knowledge sharing. JOIN US Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.
Job Description WHAT YOU’LL DO Join the Supply Chain organization and play a key role in the In-Season Optimisation area. You’ll work with Gen-AI technologies and leverage SQL, programming tools, and BI best practices to deliver actionable insights and optimize product performance. You will: Translate business processes and objectives into data-driven insights, helping the organization understand performance and make strategic decisions throughout the value chain. Support the analysis and optimization of digital fulfilment flows, ensuring efficient inventory utilization, order sourcing, and customer delivery across the value chain. Understand how cross-functional initiatives and programs impact what we do and the decisions we make. Translate large volumes of data into actionable insights that guide strategic decisions across fashion retail and e-commerce. Define, monitor, and visualize key KPIs to drive transparency and measure success. Lead data modelling conversations to ensure optimal data structures and model performance within your product area. Act as the go-to analytics expert within your business and product team, collaborating end-to-end on data-driven business development, value realization and business case validation. WHO YOU’LL WORK WITH You’ll be part of a truly international and cross-functional team, working closely with Business Process Leads, Data Scientists, Business Experts, and Product Managers. Collaboration is at the heart of what we do; our team brings together diverse backgrounds and perspectives to solve complex challenges and create real value for millions of customers across global markets. We work in an agile setup that encourages experimentation, continuous learning, and open dialogue. WHO YOU ARE We are looking for people with… · A degree in Economics, Business, Supply Chain, Mathematics, Engineering, or a related field. · Experience in analytics roles within retail, fashion, or tech-driven companies, ideally linked to product or business development., with the focus on Supply Chain. · Proficient in SQL, Python, or R. Experience using modern data tools such as Git, Dataform and dbt is a plus. · A solid understanding of analytical methods applied to real-world data problems. · Experience using data visualization tools, e.g. Power BI or similar tools. And people who are… · Strategic thinkers with a strong analytical mindset and a passion for solving complex problems. · Clear communicators who can transform data into compelling stories and practical recommendations. · Team players who thrive in collaborative, agile environments and are comfortable working with a range of stakeholders. WHO WE ARE H&M Group is a global company of strong fashion brands and ventures. Our goal is to prove that there is no compromise between exceptional design, affordable prices, and sustainable solutions. We want to liberate fashion for the many, and our customers are at the heart of every decision we make. We are made up of thousands of passionate and talented colleagues united by our shared culture and values. Together, we want to use our power, our scale, and our knowledge to push the fashion industry towards a more inclusive and sustainable future. WHY YOU’LL LOVE WORKING HERE At H&M Group, we are proud to be a vibrant and welcoming company. We offer our employees attractive benefits with extensive development opportunities around the globe. We offer all our employee’s attractive benefits with extensive development opportunities around the globe. All our employees receive a 25% staff discount usable on all our H&M Group brands in stores and online. In addition to our staff discount, all our employees are included in our H&M Incentive Program – HIP. You can read more about our H&M Incentive Program here. · 30 days holiday · We offer a collective agreement which includes pension and life insurance · H&M Incentive Program · Wellness benefit 4000kr/year · Benifex Benefits Portal · Community with activities JOIN US Our uniqueness comes from a combination of many things – our inclusive and collaborative culture, our strong values, and opportunities for growth. But most of all, it’s our people who make us who we are. Take the next step in your career together with us. The journey starts here. *We are committed to a recruitment process that is fair, equitable, and based on competency. We therefore kindly ask you to not attach a cover letter in your application.
Are you a software engineer who enjoys building the platforms that turn AI potential into real-world insights? Do you thrive in a highly collaborative, team-based environment and have a passion for Python and cloud-native automation? Our COT (Custom Object Training) team is looking for two new engineers to help us build the future of smart analytics at Axis. Who is your future team? We are the team behind COT, a cutting-edge service that allows our customers to train cameras to recognize exactly what they need. Our mission is to transform complex AI training into a seamless, self-service experience. We are currently a smaller core team. Now, we are looking for two more stars to join us. Our tech stack is modern and cloud-native: we use Python for our core logic and orchestration, React for our user interface, and modern cloud data services for our data and metadata storage. We believe a positive and highly collaborative culture is the key to our success. To give you a feel for how we operate, here are the principles we live by: We build together. Collaboration is our default mode, not an afterthought. We own our work, from the first line of code to the value it creates for the customer. We are driven by curiosity and encourage asking "why?" and "what if?". We see mistakes as learning opportunities and a natural part of innovation. We support each other to grow, succeed, and have fun while doing it. We value open communication and respectful debate to find the best solutions. We celebrate our achievements, big and small. By following these principles, we create a safe and dynamic environment where we can all learn and build great things. How we work Our focus is on engineering a high-quality, smart software platform. We work in an agile way where all team members collaborate on the design, architecture, and implementation. While we work closely with AI experts, these are pure software development roles; you will be building the "engine" and the "face" of the product, ensuring the system is robust and the data is accessible. Quality is paramount. We develop in a Linux environment for services that empower our customers worldwide. We value a Platform Mindset-building high-quality, consistent APIs and tools that are scalable and easy to automate. What you'll do as a Software Engineer We are looking for two different profiles to complement our team. Depending on your interest and background, your responsibilities will include: Profile A: The Pipeline & Automation Engineer (MLOps focus) Design and develop the automated Self-Service training pipelines using Python. Orchestrate data flows between cloud storage and processing services to ensure high-performance training loops. Build the "Quality Gates" that automatically validate model accuracy and performance. Profile B: The Data Storyteller (Fullstack focus) Build and customize the user interface in React, making complex AI data easy to understand. Design intuitive dashboards that visualize accuracy, precision, and recall for our users. Bridge the gap between raw metadata and a "smart" user experience. Common for both: Participate as a dedicated and collaborative member in the team's everyday work. Communicate with stakeholders (Product Managers, Architects, Specialists) to ensure we deliver true customer value. Who are we looking for? We are looking for committed developers who want to work in a friendly, cross-functional team. Whether you are an experienced professional or a talented recent graduate with a passion for cloud-native engineering, we believe you can contribute to our journey. We'd love to hear that you have: A bachelor's or master's degree in Computer Science or a related field. Experience with, or a strong foundation in, Python. A strong interest in cloud-native data storage and NoSQL databases. Experience with or a strong curiosity for React and data visualization. A true team-player mindset-you are communicative, curious, and driven to find the best solutions together. Familiarity with or an eagerness to learn about MLOps, test automation, and CI/CD. What Axis has to offer We are a world leader in network video, where cutting-edge technology meets global impact. Here, you'll contribute to meaningful projects that shape the future of security and surveillance - developing solutions used worldwide. Our Lund HQ Campus, including the impressive Grenden building, offers a dynamic environment with spaces crafted to encourage collaboration, whether through informal "fika" chats, formal meetings, or after-hours activities. Check it out: Axis HQ Ready to Act? Axis is a company realizing the benefits of a diverse workforce. We know that diversity in groups creates a better working environment and promotes creativity, something that is fundamental for our success. We welcome all applications. We go through applications continuously so don't wait - send in your application today! Vacation is important! At Axis we value work-life balance and that means that during summer many of us are on a well-deserved vacation. During this period of time, you can expect some delay in our response, but we will get back to you as soon as possible! In case of questions, please reach out to recruiting manager Thomas Danielsson at +46 46 272 1800
Join Truecaller – The place where innovation meets impact! Truecaller's mission is to build trust in communication by making it safer, smarter, and more efficient. Born in Sweden, trusted by the world, and here’s why we stand out: * We are trusted by over 450 million active users every month across 190+ countries * We identify over 15 billion calls daily, helping users avoid spam and scams * We are powered by a team of 450+ employees from 45+ nationalities We always look for people who take initiative, own their work, and keep raising the bar. An entrepreneurial mindset matters here, especially when it turns bold ideas into real actions. We stay collaborative and focused, always searching for smarter paths forward. If you want to make an impact and grow with a team that inspires millions, you’ll fit right in. The role: As a Senior Data Scientist, you will lead high-impact initiatives at the intersection of data science, product, and engineering. The role combines machine learning, statistics, and data engineering to solve meaningful, real-world problems, with strong collaboration at its core, working closely with stakeholders across the organization and within the team to deliver results that no single person could achieve alone. What you will do * Exploring the problem space and finding data science solutions that provide step increases in customer experience * Planning data science work for the team, with an emphasis on collaboration to achieve common goals * Gathering, collating, and understanding the data necessary to create data science products that delight the customers * Collaborating with stakeholders throughout Truecaller to find and build data science products that solve business and customer problems at scale. * Coaching and mentoring junior to senior data scientists to improve their technical skills and productivity What you bring in * Bachelor's or Master's degree in Data Science, Machine Learning, Computer Science, Statistics, Mathematics, or a related field. * At least 5 years of experience in using data science and machine learning to solve real-world problems * Excellent programming skills in Python and SQL * Solid understanding and experience with the tooling for Python - IDEs, unit testing frameworks, and static code checks * Excellent communication and interpersonal skills, with the ability to present complex data and insights to non-technical stakeholders * Strong problem-solving skills and a results-oriented mindset * Customer obsession * Able to own and drive projects and products to production and iteratively improve them over time It would be great if you also have * Understanding how to query very large data efficiently (we use BigQuery) * Experience collaborating with C-suite executives * Experience with data from mobile applications * Experience with data visualization and reporting tools, such as Tableau, Looker, or Power BI (we use Looker) * A solid understanding of the engineering requirements necessary to put machine learning solutions into production and scale them to hundreds of millions of customers What we offer: We support growth through learning resources, leadership programs, mentoring, and real hands-on work. People can move between teams and projects to build new skills and keep things interesting. We offer clear internal mobility and a transparent path for progression, with leaders who stay involved and provide guidance throughout the year. In addition, you will benefit from: * A comprehensive compensation package: We offer a competitive salary, 30 days of paid vacation, private health insurance, parental leave top-up, pension, and wellness contributions. * Modern tools to do your best work: Choose your preferred computer and phone within our budget, so you can work comfortably and efficiently. * A people-focused office culture: We value in-person collaboration and follow an office-first model, with some flexibility. Our offices offer a vibrant environment with opportunities to learn, connect, and recharge, from breakfast, lunch, and well-stocked snack stations and quiet spaces to team activities such as movie nights, tech meetups, and cultural events. There's something for everyone. * Truecaller’s “Lab Days” offer a space for imagination: 5 times per year for 3 days, where everyone steps away from their normal tasks to explore new, bold ideas and build things they’ve always wanted to. It’s a space where curiosity leads the way, and prototypes take shape. Some concepts even make it into production, and a few have grown into real features used by millions today. Lab Days allow you to be creative, learn fast, and help shape Truecaller's future. Come as you are: Truecaller is committed to building a diverse and inclusive team. We believe that a wide range of backgrounds, perspectives, and experiences strengthens our products and our culture. No matter where you're from, what language you speak, or how you identify, we value what makes you unique and would love to get to know you. Check out Life at Truecaller - Behind the code: https://www.instagram.com/lifeattruecaller/ Sounds like a great opportunity? We will fill the position as soon as we find the right candidate, so please send your application as soon as possible. As part of the recruitment process, we will conduct a background check. We only accept applications in English
Professional Galaxy is an IT and technology consulting company that provides highly specialized expertise within IT, software development, SAP, purchasing, electronics and mechanical design. We collaborate with experienced senior experts and deliver strategic value-creating expertise to some of Sweden's most complex and analytically demanding projects. Our focus is always on high quality, professionalism and clear, measurable results. We are now seeking a Data Engineer for one of our clients. About the assignment: Take end-to-end responsibility for building, optimizing, and supporting existing and new data pipelines aligned with the defined target vision in GCP platfrom. Champion a DevOps mindset and principles, managing CI/CD pipelines, Terraform, and Cloud infrastructure—primarily on Google Cloud Platform (GCP). Ensure that data products are designed as independent deployment units and adhere to defined standards for security, scalability, observability, and performance. Collaborate closely with the Product Manager and key stakeholders to define the vision for data products and identify new opportunities to support evolving business needs. Partner with product teams across domains to enable data sharing and integration within a data mesh context. Drive continuous improvement, enhance data engineering practices, and reduce technical debt. Maintain up-to-date expertise in data engineering, analytics, and cloud technologies. Nice to Have Experience with GCP services such as Cloud Run Exposure to large-scale data processing and orchestration frameworks (e.g., Spark, Beam, Hive). Experience with various data formats (e.g., Avro, Parquet,Iceberg,Hudi). Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders. Are you the right person for the assignment, or do you want to recommend a strong candidate? Do not hesitate to contact us. Please apply directly through our system with: - Your updated CV in english - Availability to start the assignment In the motivation, describe why you are suitable for this assignment - refer to previous consulting assignments, employmxent, education and personal qualities. Please note: We do not accept any applications through mail. All applications have to be sent through the portal to be valid. Offer continuously: Please note that for this role we offer continuously. That means that we sometimes remove the assignments before the deadline. If you are interested, we recommend that you apply immediately.
About the Company At Avaron, you get the security of permanent employment combined with the variety of working at different customers. We place specialists across everything from tech, IT and industry to project management and business support – and whatever the assignment, you have a consultant manager who is there for you and your development. About the Role You will play a key role in building and evolving modern data products in a cloud-first environment on Google Cloud Platform. The focus is on creating reliable, scalable, and secure data pipelines that support a clear target vision while enabling better data sharing across domains. In this role, you will work end to end with both new and existing pipelines, from development and optimization to support and continuous improvement. You will help shape how data products are built as independent deployment units, with strong standards for security, observability, performance, and scalability. You will also work closely with product and business stakeholders to define the direction of data products and identify opportunities where better data capabilities can support changing business needs. If you enjoy combining hands-on engineering with influence over ways of working, architecture, and platform quality, this is a great opportunity to make a real impact. Job DescriptionYou will take end-to-end responsibility for building, optimizing, and supporting data pipelines in GCP. You will drive a DevOps way of working and manage CI/CD pipelines, Terraform, and cloud infrastructure. You will design data products as independent deployment units that meet defined standards for security, scalability, observability, and performance. You will collaborate with the Product Manager and key stakeholders to shape the vision for data products and identify new opportunities. You will work with product teams across different domains to enable data sharing and integration in a data mesh context. You will contribute to continuous improvement in data engineering practices and help reduce technical debt. You will stay current within data engineering, analytics, and cloud technologies to support long-term platform development. RequirementsExperience building, optimizing, and supporting data pipelines end to end. Strong hands-on work with Google Cloud Platform. Experience working with CI/CD pipelines, Terraform, and cloud infrastructure. Ability to design data products with focus on security, scalability, observability, and performance. Experience collaborating with product teams and stakeholders to support data sharing and integration. A DevOps mindset and a drive to improve engineering practices and reduce technical debt. Nice to haveExperience with GCP services such as Cloud Run. Exposure to large-scale data processing and orchestration frameworks such as Spark, Beam, or Hive. Experience with data formats such as Avro, Parquet, Iceberg, or Hudi. Experience with DBT in production data transformation workflows. Knowledge of modern data governance and cataloging practices. Experience with data visualization tools and collaboration with analytical stakeholders. What We OfferPermanent employment at Avaron AB Occupational pension Wellness allowance of SEK 5,000 per year Application Selections are made on an ongoing basis – apply as soon as you can.
About Consumer Analytics at Wolt The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought. The Core Experience team sits at the heart of this, covering the full customer journey from opening the app to completing an order – browsing, search, in-venue experience, cart and checkout. Data Scientists here work hand in hand with product teams, combining rigorous experimentation with sharp business judgment to move fast without sacrificing confidence. About the Consumer Data Science Team The team partners closely with Wolt's product organization and business partners to make sure the right insights reach the right people at the right time, building a culture where data is a natural part of how we work, not a bottleneck or an afterthought. The Core Experience team sits at the heart of this, covering the full customer journey from opening the app to completing an order – browsing, search, in-venue experience, cart and checkout. Data Scientists here work hand in hand with product teams, combining rigorous experimentation with sharp business judgment to move fast without sacrificing confidence. What you’ll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational and actionable data-driven experience that requires a good mix of technical and stakeholder engagement skills. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics or data science role. Data Scientists at Wolt take ownership of the business outcomes. If you enjoy finding patterns amidst the chaos, are excited to build from 0 to 1, and have experience using data science skills to solve business problems, we're looking for someone like you. Our humble expectations 5+ years of experience in an analytics or data science position Experience working with product funnels and user journeys Proficiency in SQL and Python Hands-on experience in designing and analysing A/B testing Experience in using AI in your work to accelerate work velocity, automate repetitive tasks, and generate SQL queries and experiment readouts Prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Tableau, Mixpanel, Looker, or similar What we offer
About the Wolt+ Domain Wolt+ is our premium subscription program designed to enhance the convenience and value of the Wolt experience. By offering free delivery and exclusive perks, Wolt+ encourages frequent and loyal usage across our platform. The Wolt+ domain focuses on growing the subscriber base, improving user engagement, and maximizing retention by delivering compelling benefits and a seamless subscription experience. Our work involves optimizing pricing, enhancing the value proposition, and ensuring that Wolt+ meets the needs of customers across diverse markets. As part of this team, you’ll work closely with product, and business & operations teams to uncover insights, measure program performance, and develop data-driven strategies that drive Wolt+ adoption and long-term customer loyalty. What you’ll be doing As a Senior Data Scientist at Wolt, your role involves diving into our data to solve crucial business problems. The scope of this role ranges from diagnosing problem areas to identifying solutions to designing experiments and ultimately influencing decision-making. This is a rare, operational, and actionable data-driven experience. When you join this team, you will be driving action from the frontlines, rather than just doing yet another analytics role. Our humble expectations 5+ years of experience in a Data Analytics or Data Science position. Expertise in statistical analysis, including hypothesis testing, experimentation using statistical software packages in Python, R, or equivalent for product development (preferably consumer-facing). Proficiency in writing structured and efficient SQL queries for large data sets. Have prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Looker, Tableau, Mixpanel, or similar. What we offer
TRATON is a group of strong brands with a shared mission: transforming transportation together to create the future of sustainable transport solutions. Within TRATON, we include MAN, Scania, Volkswagen Truck & Bus, and International. As part of a global team of industry experts, you get to think bigger, experience more, and reach further. Together, we have the power to transform transportation - Let´s make a difference together. Find out more: www.traton.com Our values – customer first, respect, team spirit, responsibility, and elimination of waste – are at the heart of everything we do. Role Summary The Electrification Battery Test Team is seeking motivated engineers ready to embrace new challenges. Are you interested in joining this team and contributing to the shift towards sustainable transportation solutions? Electrification is more exciting than ever! The demand for competitive and environmentally conscious transport solutions is rapidly growing. Scania has made substantial investments in battery testing capabilities, focusing on performance and lifespan testing. This investment enables us to meet the needs of our customers and society as a whole. We are currently looking for a motivated, agile, and analytical engineer to join our team and contribute to data analytics for test data. Job Responsibilities In this role, you will strengthen our team's capabilities in module testing data analytics. Your responsibilities will include: Processing and managing large-scale raw time-series data from battery testing. Extracting and developing performance KPIs to assess battery degradation, efficiency, and longevity. Automating data pipelines and improving analytical methods for deeper insights. Assessing correlations among different sample iterations and tests conducted at various levels, including cell and pack testing. Maintaining continuous communication with test stakeholders is crucial, as effective knowledge transfer relies on strong written and verbal communication skills Actively collaborating on enhancing our methods, fostering a culture that welcomes fresh ideas and approaches. Who You Are We believe that diversity is key to our success! You likely possess a master's degree in an analytical field such as Engineering, Data Science, Physics, or a similar discipline. You have engineering experience in data analytics, ideally within the automotive industry or a laboratory setting. A robust analytical mindset and the ability to manage and prioritize tasks effectively are essential. You should have strong programming skills, preferably in Python, SQL, and data processing libraries like Pandas, NumPy, and Spark. A passion for data visualization and hands-on experience with time series data analysis, performance monitoring, and KPI extraction are highly valued. In your daily interactions, you show respect for your colleagues' contributions while also presenting your own carefully analyzed findings We welcome applicants from all backgrounds – your unique experience and perspectives is valuable to us. This Is Us Our team consists of individuals with diverse skill sets and backgrounds, working together to create a winning combination. We value open dialogue and our mission is to extract knowledge from the tests we conduct through analysis, curiosity, and discussion. Our responsibilities in the Battery cell and module testing team encompass testing batteries from single cells to sub-pack levels. We take full ownership of the testing process, conducting most of it in our state-of-the-art laboratories. Within TRATON Group R&D, you are an important part of something bigger. Joining us means gaining access to the ins and outs of the entire transportation industry. TRATON Offers We offer a dynamic and engaging workplace where collaboration, innovation, and continuous improvement are part of everyday life. You will be part of a strong team environment that encourages knowledge sharing and close cooperation across functions. With a structured development plan and a wide range of training opportunities, TRATON Group R&D supports your professional growth both locally and internationally. Benefits include access to our health center in Gröndal or a wellness allowance, bonus, flexible working hours, and company car leasing. We also arrange events for employees and their families, and for those living in Stockholm, convenient commuting is supported through direct Scania Job express buses to Södertälje. Application We look forward to receiving your application, consisting of your CV and kindly ask you not to share a cover letter to ensure an efficient and unbiased recruitment process for all parties. Apply as soon as possible, no later than 2026-07-17. Screening will take place on an ongoing basis during the application period. Logical and personality tests may be used as part of the selection process, and a background check may be required for this role.
About the company: Navinci is a Swedish biotech company developing innovative technologies to study protein interactions in their native spatial context, with a strong legacy in in situ proximity ligation assay technology and a broad portfolio of products for spatial proteomics. About the role: We are looking for a Senior Data Scientist in image analysis to join Navinci and build scalable, automated pipelines for spatial interactomics. You will take strong ownership in designing and advancing computational methods, with a focus on creating robust, reproducible workflows that incorporate rigorous quality control and leverage deep learning to address complex biological questions. The work will support both internal R&D and external collaborations. You will be part of a highly skilled, and growing team, playing a key role in advancing pipeline development and computational innovation. The role requires both independent problem-solving and effective collaboration in a dynamic environment, helping position Navinci at the forefront of spatial biology and emerging AI technologies. Key Responsibilities Design, develop, and maintain scalable, automated analysis pipelines and reproducible workflows with robust quality control for spatial interactomics data. Develop novel computational methods and apply deep learning to address complex biological questions and enable new analysis capabilities. Build internal tools and contribute to best practices in pipeline design, reproducibility, and code quality. Collaborate with multidisciplinary teams and external partners to translate biological problems into computational solutions. Mentor and guide junior team members while contributing to a collaborative, adaptive, and high-performing team environment. Work effectively in a dynamic environment with adaptability, independence, and strong collaboration, while staying current with advances in spatial omics and AI (e.g., agentic/LLM-based workflows). Qualifications Required: PhD in Computational Biology, Bioinformatics, Computer Vision, or a related field (or equivalent industry experience). Strong understanding of spatial omics data and associated analysis challenges. Demonstrated ability to design and develop robust, reproducible computational methods and pipelines, including components such as image processing, clustering, spatial analysis, statistical analysis and data visualization. Strong proficiency in Python, with experience developing production-quality code for data analysis and pipeline development. Proven, hands-on experience in developing and applying deep learning models, using machine learning frameworks (e.g., PyTorch, Scikit-learn). Ability to independently solve complex, open-ended problems. Strong communication and collaboration skills in interdisciplinary environments. Preferred: Industry experience in image analysis methods and/or pipeline development is a strong plus. Experience with agentic workflows, AI agents, or LLM-based systems. Experience applying best practices in scientific programming and/or software engineering (e.g., testing, debugging, version control, CI/CD). Experience with GPU programming and performance optimization. Experience with high-throughput computing such as HPC or cloud computing. Experience with tool development, UI/UX, or containerization (e.g., Docker). What We Offer Opportunity to shape scientific direction in a cutting-edge company. Agile teams with fast decision-making and direct impact. Dynamic environment with growth and leadership potential. Close collaboration across R&D, product, and commercial teams. Applications will be reviewed on a rolling basis.
10% of Europe’s CO₂ emissions are caused by residential heating, and energy bills are out of control. Aira is here to change that. With our intelligent Aira Heat Pump at the heart, we’re making the switch to clean energy-tech easier and more affordable. Helping Europe turn off gas and slash energy costs one home at a time. Founded in 2022, and with 1200+ employees and counting, Aira is driving the clean energy revolution by providing homes with modern clean energy-tech solutions such as solar power, battery storage solutions, and heat pumps. With a state-of-the-art production facility in Poland, and HQ in Stockholm, Sweden, and hubs across the UK, Germany, and Italy, Aira is well on track to install clean energy-tech into 5 million homes by 2034. About the role As a Frontend Developer on our Planning team, you'll help transform how clean energy gets delivered—by empowering our planners with intuitive, data-driven tools. This team is responsible for optimizing the scheduling of Aira’s field force. The domain stretches across the whole customer journey, including tools for booking and coordinating sales visits, heat pump installations, and maintenance. You'll work at the intersection of software and real-world impact, building data products that help planners effectively schedule our field force based on proximity, dates, and other critical factors. In this role, you will: Build modern user interfaces that enable planners to visualize and optimize complex scheduling scenarios—bringing clarity, efficiency, and effectiveness to workforce planning Develop interactive map-based tools that help planners make better decisions based on geographical proximity, travel times, and resource availability Create intuitive dashboards that collect and visualize operational data, helping planners identify patterns, balance workloads, and make smarter scheduling decisions Design user experiences that simplify the planning process and reduce cognitive load—enabling planners to focus on strategic decisions rather than administrative tasks Support dynamic rescheduling capabilities with clear interfaces that highlight impacts and alternatives when changes occur Help us scale into new regions and markets by building flexible interfaces that adapt to varying local requirements, scheduling constraints, and service models We're changing how clean energy visits are planned and scheduled—making it smarter, faster, and better for everyone involved. If you're excited about building modern tooling and UIs that empower planning teams and drive tangible outcomes, this is the role for you. What you’ll bring to the role Solid experience with product-driven software development and agile environments Experience with React and TypeScript Strong visualization skills, especially with maps and timeline interfaces We would also expect you to have experience in at least two of the following areas: Rapid growth journeys (start-ups, scale-ups, new environments) Kanban, Scrum, and/or a combination of both Next.js Data visualization libraries (D3.js, Chart.js, etc.) Map integration (Mapbox, Google Maps, Leaflet) Experience building planning or scheduling interfaces What is in it for you? Gain hands-on experience in a fast-growing scale-up, with a supportive and inclusive culture, and career advancement opportunities. Collaborate with diverse teams across international markets and launch products globally. Develop and grow personally and professionally in an entrepreneurial-minded environment. Thrive in a dynamic, solution-oriented culture, tackling challenges and driving meaningful solutions that make a positive impact on the world. Influence the company's success, with a visible impact on product development and market growth. Enjoy the flexibility of our hybrid work model and discover our brand-new office at Norra Stationsgatan 93 in Stockholm. Conveniently located near public transport, with Sankt Eriksplan and Odenplan stations just a few minutes' walk away At Aira, we champion the next-generation energy as well as diversity and inclusion. We firmly believe that a diverse workforce fosters innovation and creativity, enhancing our ability to serve customers and communities effectively. We welcome individuals from all backgrounds, cultures, and perspectives to join our team. Our commitment is to uphold equality and inclusivity, fostering a collaborative environment where everyone can thrive and contribute to a better future for our people and the planet.
Independently develop and optimize complex data pipelines, ensuring smooth data flow across multiple domains. Utilize complex SQL querying techniques to extract, manipulate, and analyze data for various business needs. Confidently use programming languages such as Java or Python to write classes, functions, and apply object-oriented programming principles, along with basic unit testing. Guide junior Data Engineers on tasks and best practices, effectively delegating to promote team growth. Understand business issues, create data-driven solutions, and present them to stakeholders, ensuring alignment with goals. Identify optimization opportunities in data systems, plan implementations, and develop risk mitigation strategies. Work with stakeholders and teams to drive data initiatives, providing leadership and contributing to the organization’s data strategy. Qualifications Relevant academic degree in any technical field in BSc, BE or a related field 3-6 years of working experience in Data Engineering with strong experience in SQL, Python, or similar languages Proficient in data modelling, warehousing, pipeline development, and documentation Experience with production methodologies, software development principles, and Agile practices Understanding of business needs related to the product scope Deep understanding of cloud technologies and cloud development, as well as ability to select appropriate (cost-effective) tools for different tasks Have a collaborative and co-creative mindset with excellent communication skills Motivated to work in an environment that allows you to work and take decisions independently Experience in working with data visualization tools Fluent in English both written and verbal Consultant is expected to have Cloud certification at latest 1 month after start, if not already certified.
About us At Techrytera AB, recruitment starts with you. We are a staffing and recruitment company with deep expertise and a clear focus on IT and Engineering. With our industry knowledge and close dialogue with both candidates and clients, we create precise matches where the right skills meet the right needs. We believe that a truly great match is not just about a job description – it’s about your experience, your potential, and what you genuinely want to develop in. That’s why we always focus on the individual. By understanding your background, motivations, and ambitions, we can connect you with assignments and roles at our clients where you have the right conditions to grow and make an impact. Our goal is to build long-term and meaningful collaborations – for both you as a candidate and for our clients. Job Description We are currently looking for a Senior or Expert Data Engineer to join a large-scale data transformation initiative at a global retail organization. This assignment is part of a strategic effort to build modern data platforms and enable a truly data-driven organization. In this role, you will contribute to building and maintaining data products within a Data Mesh architecture, working closely with cross-functional teams to deliver scalable and high-quality data solutions. Key Responsibilities: Design and develop robust SSAS cubes (tabular or multidimensional) to support advanced analytics and reporting. Build, optimize, and maintain SQL-based ETL pipelines and data models. Collaborate with analysts and business stakeholders to translate requirements into scalable data solutions. Ensure data quality, performance, and governance across data products. Migrate or integrate existing on-premise data solutions to Google Cloud Platform (GCP). Contribute to the development of data-intensive solutions within a modern data platform. Required Qualifications Proven experience with SSAS and OLAP cube development. Strong SQL skills (e.g., T-SQL, BigQuery SQL). Experience with data modeling and performance tuning. Hands-on experience with Google Cloud Platform, especially BigQuery, Dataflow, and Cloud Storage. Familiarity with CI/CD practices within data engineering environments. Experience with Power BI or other reporting tools. Exposure to dbt, Airflow, or similar orchestration tools. Strong problem-solving ability and collaborative mindset. Fluent in English (written and spoken) Nice to Have Understanding of retail business processes and data. Experience working with data visualization tools. Application When you apply through Techrytera AB, you’re not just applying for a job – you’re starting a dialogue about your career path. We want to get to know you, your experience, and your ambitions so that we can match you with the right opportunities at our clients. Does this sound interesting? Submit your application or get in touch with us to learn more. We look forward to discovering the next step in your career together with you.
Gnothis AB is seeking for a skilled Software Engineer who enjoys building experimental systems in a laboratory environment. This is a permanent position based at our HQ, located at the campus of Stockholm University (Stockholm, Sweden). Gnothis, founded in 2015 and supported by highly innovative industrial professionals and technology developers, is on a mission to develop a new frontier for single molecule DNA sequencing; to break the mold on how sequencing is used as a clinical tool for the diagnosis of complex diseases. Gnothis technology integrates a wide range of cutting-edge sciences ranging from nanotechnology, photophysics, optics, surface chemistry, biochemistry and computational science. Our instrumentation, software and analysis team currently consists of four engineers and we are now expanding the team as we scale development of the system. We are seeking for an engineer with strong data analysis and scientific programming experience to develop our DNA sequencing data analysis pipeline. The role combines algorithm development, image analysis, and scientific data exploration, working closely with our instrumentation and biochemistry teams. The work involves analyzing experimental data from our microscopy-based sequencing platform and developing the automated analysis pipeline that converts raw microscopy data into DNA sequencing results. The position is part of a multidisciplinary team developing a prototype DNA sequencing instrument combining microscopy, microfluidics, nanofabrication and advanced data analysis. Initial Project The initial assignment will be to continuously analyze the latest experimental data from the lab in close collaboration with the biochemistry and instrument teams. This means developing new analysis algorithms, critically reviewing results together with the team, and driving experiment design to better address the research questions. The work includes analyzing fluorescence microscopy data, developing algorithms for tasks such as peak detection and classification, and translating manual analysis workflows into automated pipelines using Python and Airflow. We are seeking for the right candidate who can make confident decisions based on previous experiences connected to laboratory environments (eg. development of diagnostic software tools and/or processing of fluorescence microscopy raw data). Responsibilities Develop algorithms and analysis methods for microscopy-based sequencing data Implement automated analysis pipelines in Python and Airflow Perform exploratory analysis of experimental datasets and extract meaningful insights Collaborate closely with instrumentation and biochemistry teams to interpret results and improve experiments Develop tools for data visualization, evaluation and reporting Contribute to building a robust and scalable DNA sequencing analysis workflow. Candidate Profile For you to enjoy performing expected activities, and being a valuable member in an ambitious and innovative team; we think you are an engineer or scientist with strong experience in scientific programming and data analysis. This role suits someone who enjoys working deeply with experimental datasets and extracting insight through algorithm development, statistical analysis and careful data interpretation. The candidate should be comfortable working independently with complex datasets and driving the development of analysis methods in collaboration with a small multidisciplinary team. Relevant backgrounds and skills include: Master of Science and/or Ph.D educational background – ideally combined with a relevant Life Science focus. Python programming for scientific computing Image analysis and signal processing Microscopy or fluorescence imaging data Statistics and experimental data analysis Scientific visualization and reporting DNA sequencing or genomics data A PhD with strong experience in microscopy data, sequencing data, or similar experimental datasets is highly preferred. Gnothis offer a creative environment focused on technology and product development, a competitive compensation package and plenty of room for self-development as the company expands. This is a permanent position (not consultant assignment). If above sounds like an exciting opportunity and you would like to hear more, do not hesitate and submit your application and we will get back to you! Gnothis AB on LinkedIn: https://www.linkedin.com/company/gnothis/posts/?feedView=all For inquires please email us at: markus.dahl@valleyrecruitment.se
Avalanche Studios Group is looking for a Senior Analytics Engineer to join our Data and Insights team. This role will be responsible for creating, designing and maintaining our data architecture. This role requires a deep understanding of data engineering, data modelling, data visualization, event design and best practices in those areas. This is a key role in developing our data lake by bridging the gap between our data engineer and our data scientists as well as ensuring that our data is timely, easy to work with and trusted across the company.
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