Data Engineer at Oatly

Avaron AB

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 help strengthen a self-service data platform and business insights capability in a large retail environment where governed self-service, scalable data products, and reliable reporting are central to the roadmap. The role combines hands-on data engineering with platform operations, governance, observability, and cost control, giving you the chance to turn platform standards into repeatable ways of working. You will primarily work within a platform-focused team while also supporting reporting and analytics delivery when needed. This is a strong opportunity if you want to influence how data products are built, operated, monitored, and improved in a modern Microsoft ecosystem. Job DescriptionYou will build and operate data products in Microsoft Fabric, from ingestion to consumption-ready layers. You will develop end-to-end solutions across Bronze, Silver, and Gold layers, including transformations, modeling, and publication. You will create reusable templates, parameterized pipelines, metadata-driven ingestion patterns, notebook libraries, and other scalable delivery patterns. You will implement data contracts, metadata standards, lifecycle controls, and ownership structures for domain-owned data products. You will strengthen operational governance through data quality controls, validation rules, certification criteria, and supporting documentation. You will implement and operate catalog, lineage, classification, ownership, and data quality capabilities using Microsoft Purview and Fabric-native functionality. You will build dashboards and reporting for platform health, pipeline reliability, refresh status, usage, incidents, and cost visibility. You will track SLAs and SLOs, improve incident routines and runbooks, and support continuous improvement of platform operations. You will work with day-to-day FinOps, including capacity utilization, cost allocation, anomaly detection, and optimization recommendations. You will support onboarding of teams to platform standards, working methods, and reusable engineering practices. RequirementsStrong hands-on data engineering using PySpark or Spark, SQL, Python, pipeline orchestration, and incremental-loading patterns. Hands-on experience with Microsoft Fabric, or strong Databricks or Synapse experience with a clear transfer path to Fabric, including Lakehouse, notebooks, pipelines, and OneLake or equivalent concepts. Experience building reusable pipelines and data products using frameworks and templates rather than only one-off deliveries. Practical experience implementing governance related to data quality, metadata, catalog tooling, documentation, and operational controls. Experience with monitoring, operational reporting, platform support, and troubleshooting. Strong scripting and automation capability. Ability to work across technical teams, governance stakeholders, and business stakeholders with strong documentation discipline. Minimum approximately five years of relevant data-engineering experience with operations or governance exposure. Clear communication skills in English. Nice to haveExperience with Microsoft Purview, including catalog, lineage, Data Map, and quality capabilities. Experience with Fabric operations, including Capacity Metrics App, Monitoring Hub, workspace monitoring, and usage reporting. Experience with data-quality tooling such as Great Expectations, dbt tests, or equivalent. Experience in FinOps or cloud cost management. Experience tracking SLAs and SLOs and working with incident-management and platform-support processes. Experience with CDC and event-driven ingestion. Relevant certification such as DP-700. 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.

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.

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