Data Product & Platform Operations Engineer

ACADEMIC WORK SWEDEN AB

Join an expert team delivering cutting-edge audio solutions for world-leading brands. Our client offers a collaborative environment where you will work on innovative projects with a global impact in the heart of Lund. About the role You will design, integrate, and deliver advanced audio solutions within a cross-functional team. This role involves close collaboration with mechanics and electronics experts to meet the needs of international clients. You are offered Our client provides an opportunity to work with world-leading brands and cutting-edge technology. You will join an expert team where you can influence global products while working in a highly collaborative and innovative environment. This assignment starts as a consultancy assignment with good opportunities for direct employment with the client. Work tasks The role involves a mix of hands-on technical measurement, software-based test automation, and client-facing technical consultation within a product development context. Perform hands-on audio measurements using Head Acoustics ACQUA, SoundCheck, or Audio Precision Develop and automate audio tests primarily using Python Analyze measurement data and present findings to stakeholders Engage directly with US-based clients to identify needs and propose technical solutions Collaborate in cross-functional teams with mechanics, radio, and electronics experts Design and integrate advanced audio solutions for diverse customer projects We are looking for Advanced knowledge in Audio Engineering, Acoustics, or a related field Strong experience with audio measurement tools such as ACQUA, SoundCheck, or Audio Precision Good understanding of both analog and digital audio systems Proficiency in programming and test automation using Python Excellent communication skills in English, both written and verbal It is meritorious if you have Hands-on experience in DSP development Knowledge of acoustic simulations using FEM, COMSOL, or lumped parameter models Basic knowledge of C++, C#, or MATLAB To succeed in the role, your personal skills are: Goal oriented Orderly Responsible Our recruitment process This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process. About the client: The client is a global technology company operating within connected products and systems. The organization works at the forefront of product development, delivering advanced technical solutions in close collaboration with leading industry partners and platform providers. The company brings together several hundred skilled professionals across multiple locations worldwide, where diversity, collaboration, and knowledge sharing are key parts of the culture. Teams work closely together across disciplines to drive innovation and deliver high-quality solutions. The environment combines product development and consultancy services, with many projects carried out in close-knit teams, ensuring strong collaboration and continuous knowledge exchange throughout all assignments.

ACADEMIC WORK SWEDEN AB

Join a dynamic team where you will never work alone. Our client is pushing the boundaries of connectivity through multi-disciplinary innovation, offering you the chance to tackle some of the industry's most complex optical challenges. About the role As an Optics / Camera Engineer, you will contribute to the design and integration of optoelectronic systems. You will collaborate with experts in industrial design, electronics, and software to deliver cutting-edge products from concept to high-volume production. You are offered Experience a collaborative culture that values technical curiosity and professional growth. You will work on diverse projects alongside top-tier engineers in a supportive environment that prioritizes team success and innovation. This assignment starts as a consultancy assignment with good opportunities for direct employment with the client. Work tasks This role involves the end-to-end development of optical systems, focusing on component integration, lab-based testing, and cross-functional collaboration to ensure high-quality product delivery. Design and integrate optoelectronic components into complex systems. Conduct optical measurements and testing in specialized lab environments. Utilize Matlab or Python for data analysis and system modeling. Collaborate with cross-functional teams including mechanics and electronics. Evaluate and select camera sensors and modules based on specific use cases. Perform image quality tuning and evaluation using tools like Imatest or Chromatix. Participate in the full product development lifecycle from concept to production. We are looking for Master of Science degree in optics, engineering physics, computer science or similar. Understanding of optical components like cameras, displays, or sensors. Knowledge of design and integration of optoelectronic components Good proficiency in Matlab, Python, or similar programming languages. Practical experience working in optics lab environments. Professional proficiency in written and spoken English. It is meritorious if you have Experience with optical simulation tools such as Zemax or LightTools. Knowledge of computer vision and image processing algorithms. Familiarity with embedded system software development. Experience integrating camera hardware with chipsets like Qualcomm or MediaTek. Understanding of the full product development lifecycle for high-volume manufacturing. To succeed in the role, your personal skills are: Goal oriented Orderly Responsible Our recruitment process This recruitment process is handled by Academic Work and it is our client’s wish that all questions regarding the position is directed to Academic Work. Our selection process is continuous and the advert may close before the recruitment process is completed if we have moved forward to the next phase. The process includes two tests: one personality test and one cognitive test. The tests are tools to find the right talent for the right position, to enable equality, diversity, and a fair process. About the client:The client is a global technology company operating within connected products and systems. The organization works at the forefront of product development, delivering advanced technical solutions in close collaboration with leading industry partners and platform providers.The company brings together several hundred skilled professionals across multiple locations worldwide, where diversity, collaboration, and knowledge sharing are key parts of the culture. Teams work closely together across disciplines to drive innovation and deliver high-quality solutions. The environment combines product development and consultancy services, with many projects carried out in close-knit teams, ensuring strong collaboration and continuous knowledge exchange throughout all assignments.

IBM Client Innovation Center Sweden AB

Introduction In IBM Consulting we're growing our team in Malmö and are looking for an experienced Data Engineer who enjoys solving complex technical challenges across both public and private sectors. You've worked with cloud platforms, modern data stacks, distributed systems, and large datasets. You understand that good engineering is about building solutions that remain reliable, scalable, and maintainable. You're curious and you enjoy understanding data flows, dependencies, bottlenecks, and architecture decisions. You like connecting the dots between business problems, data, infrastructure, and software engineering. You probably have several years of experience as a Data Engineer, or comparable positions, ideally working with large-scale environments, and you're comfortable taking ownership of technical decisions. You're also someone who enjoys sharing knowledge and helping less experienced engineers grow. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities As a Data Engineer in IBM Consulting, you'll work in environments where the requirements may change and every client has a different technical landscape. You'll be expected to navigate complexity and make pragmatic architectural decisions. Depending on the project, this could involve: Designing and implementing modern data platforms Building robust ETL/ELT pipelines and data products Working with cloud-native services and infrastructure Enabling analytics, AI, and machine learning use cases Improving data quality, observability, governance, and reliability Automating workflows and reducing operational overhead Most work happens in cross-functional agile teams with end-to-end ownership of the solutions and projects may involve working on-site with clients. Required education Bachelor's Degree Required technical and professional expertise Strong foundation in Python and SQL Experience with at least one of these cloud platforms (Azure, GCP, AWS) Experience working with scalable data pipelines (ETL/ELT) on a data platform (e.g. Databricks, Redshift, Snowflake) Experience in agile processes and methods Fluency in Swedish and English in speech and writing The right to work in Sweden without restrictions at the time of application Preferred technical and professional experience Experience working with Spark (e.g., through PySpark) Experience building BI dashboards (e.g., PowerBI, Looker Studio) Good understanding of using and developing APIs (e.g., REST, GraphQL) Experience with real-time event-based data pipelines using Kafka and/or stream processing frameworks (e.g., Flink) Experience with CI/CD and infrastructure as code (IaC) (e.g., Terraform) Experience using and working with LLMs and VLMs Experience with vector databases and using them for a RAG solution Experience working with MLOps infrastructure (e.g., MLflow) Experience with other programming languages (e.g., Go, TypeScript, Java) Experience using common ML frameworks (e.g., PyTorch) Good communication and presentation skills, and the ability to present results from a notebook (e.g., Jupyter Notebook) Good understanding of data and AI governance (e.g., GDPR, European AI Act) Good understanding of Agentic AI