Sökresultat för "warehousing"

Om kundföretaget Vill du ta nästa steg som truckförare? Hos vår kund blir du en nyckelspelare i modern lager- och produktionsmiljö. Här är tempot högt, säkerheten först och teamet stöttande. För rätt person finns möjlighet till anställning direkt hos kund. Nu söker vi truckförare till en ledande aktör i Södertälje Som truckförare hos vår kund kör du truck (A1–4 och B1–4) med fokus på in- och utleveranser, påfyllnad och produktionsstöd. Du ansvarar för lagring och plock samt skanning och registrering i systemet. Tillsammans med teamet säkerställer du ordning, hög kvalitet och smidiga flöden genom hela kedjan. Krav: har giltigt truckkort A1–4 och B1–4 har erfarenhet från skjutstativstruck eller motviktstruck. kan arbeta skift: 06:00–14:21 och 14:30–22:51 är noggrann, säkerhetsmedveten och fungerar lika bra i team som självständigt har B-körkort och tillgång till egen bil på heltid   Övrigt Detta är ett bemanningsuppdrag som för den ambitiösa konsulten kan leda till direkt anställning hos vår kund med start är omgående. Vi tar endast emot ansökningar via vår hemsida där du laddar upp din ansökan. Vi vill ha din ansökan så snart som möjligt. Urval och intervjuer kommer att ske löpande. Vid eventuella frågor är du varmt välkommen att kontakta oss på info@miljonbemanning.se Om Miljonbemanning Vi är ett innovativt kompetensförsörjnings- och kompetensutvecklingsföretag vars mission är att aktivt arbeta för en inkluderande arbetsmarknad där alla bedöms på lika villkor och ges samma förutsättningar. Därför präglas vår företagskultur av mångfald, respekt, värdighet och inte minst integritet. Genom vår passion för människans förmåga till lärande och utveckling samt arbetsmarknadens potential för förändring och tillväxt hjälper vi till att skapa de rätta förutsättningarna för våra konsulter att realisera sina drömmar och för våra kundföretag att nå sina mål. Vi letar där ingen annan letar; varmt välkommen med din ansökan till Miljonbemanning.

Vi på Arena Personal söker nu en Supervisor för ett spännande uppdrag hos en av våra kunder inom logistikbranschen. Är du en engagerad ledare som trivs med att utveckla människor, arbeta målinriktat och skapa struktur i en verksamhet med högt tempo? Då kan detta vara rätt möjlighet för dig. Om rollen Som Supervisor har du en central roll i den dagliga verksamheten och ansvarar för att leda, stötta och utveckla ditt team. Du arbetar nära verksamheten och säkerställer att arbetet bedrivs effektivt, säkert och med hög kvalitet. Du kommer att ha personalansvar för ett team bestående av både administrativa och operativa medarbetare samt vara en del av den lokala ledningsgruppen. Rollen innebär ett nära samarbete med andra ledare där ni tillsammans driver verksamheten framåt och arbetar med ständiga förbättringar. Vi söker dig som Är datadriven och trivs med att arbeta utifrån fakta, nyckeltal och uppföljning. Har ett genuint intresse för människor och är skicklig på att skapa engagemang och delaktighet. Är strukturerad och har lätt för att planera, prioritera och följa upp arbetet. Har erfarenhet av ledarskap, exempelvis som teamledare, arbetsledare eller i en liknande roll. Är redo att ta nästa steg i din ledarskapskarriär och vill fortsätta utvecklas. Är tydlig i din kommunikation och känner dig bekväm med att hantera både vardagliga och mer utmanande personalfrågor. Har förmågan att fatta beslut, sätta riktning och skapa trygghet i förändring. Trivs i en föränderlig miljö där du kan stötta och motivera dina medarbetare. Är ansvarstagande, lösningsorienterad och har ett positivt driv. Vi ser gärna att du har Erfarenhet från logistik-, lager- eller produktionsverksamhet. God administrativ förmåga och vana att arbeta i olika affärs- och uppföljningssystem. Goda kunskaper i svenska och engelska, både i tal och skrift. Om Arena Personal: Arena Personal är ett auktoriserat bemannings/rekryteringsföretag och självklart har vi kollektivavtal. Vi har funnits som aktör i bemannings- och rekryteringsbranschen i över 20 år. Vi har ett personligt engagemang och anstränger oss alltid för att ordna saker på bästa sätt. För oss är det viktigt att våra anställda trivs och mår bra. Varmt välkommen med din ansökan!

Ready to find your path? Try new things. Share experiences. And discover what you truly enjoy. Your role We are now looking for an aircraft logistics specialist with international ambition to lead the supply chain operation in the on-going Support Contracts in Saudi Arabia. As the Logistics Manager your task is to practically run the logistics operations included in the Support Contract for the Saab 2000 AEW Special Mission Aircraft. You will be stationed in Saudi Arabia as an Expatriate for 2 years to lead the logistics handling within the international AEW- (Airborne Early Warning) Project headed by Saab Surveillance. The support team includes Saab specialists on Aircraft platforms, Radar, Electronic Warfare and Mission systems, Communications and ground systems. PU AEW&C Support Solutions (Product Unit within Surveillance) is leading the In-Service-Support contract in Saudi Arabia. The Logistics Manager is the prime point of contact with the customer's supply chain organization and is responsible for the daily status of logistic operations including spare parts, warehousing, customs and compliance. The Logistics Manager reports to the Managing Director and work closely with the site manager and maintenance planning. Your daily operation will be carried out from both the Saab Office in Riyadh and the customer's aircraft base. Professional interface also consists of: Saab Program Manager and Back-office Support. Airworthiness organisation and Quality. Customer Supply chain representatives on different levels. Your profile We believe that you are an open-minded Logistics Specialist in aircraft maintenance with experience as receiving inspector and storekeeper. You are a team player, skilled communicator who thrives in a global and complex logistics environment. To qualify for the role, we also believe that you fulfill the following: Knowledge of material logistics including packaging, handling, storage and purchasing process. Skills to combine logistics strategic thinking with operational actions. A valid driver's license. Knowledge of Saab Supply Chain is a merit. Knowledge of Part-145 Requirements is a merit. Experience from working in IFS is also a merit. Curious and eager to embrace new cultures, non-judgmental and tolerant. This position requires that you pass a security vetting based on the current regulations around/of security protection. For positions requiring security clearance additional obligations on citizenship may apply. Kindly note that the recruitment process will be paused during the summer holiday period. The selection process will resume after the holidays, and you can expect feedback from us starting in August. You are welcome to submit your application in either Swedish or English. What you will be a part of Explore a wealth of possibilities. Take on challenges, create smart inventions, and grow beyond. This is a place for curious minds, brave pioneers, and everyone in between. Together, we achieve the extraordinary, each bringing our unique perspectives. Your part matters. Saab is a leading defense and security company with an enduring purpose, to help nations keep their people and society safe. Empowered by its 28,000 talented people, Saab constantly pushes the boundaries of technology to create a safer and more sustainable world. Saab designs, manufactures and maintains advanced systems in aeronautics, weapons, command and control, sensors and underwater systems. Saab is headquartered in Sweden. It has major operations all over the world and is part of the domestic defense capability of several nations. Read more about us here

Are you a driven person who wants to work in a technically broad and hands-on role? Would you like to develop the future of internal logistics in an innovative, technology-driven company? If so, the position as Mechanical Design Engineer at FlexQube could be the right role for you! About FlexQube: FlexQube is a technology company headquartered in Gothenburg, Sweden with subsidiaries in USA, Mexico, Germany and England. FlexQube offers solutions for cart-based material handling using a patented modular concept. FlexQube develops and designs customized solutions for both robotic mechanical cart logistics. Through the own developed and unique automation concept FlexQube can offer robust and self-driving robotic carts. FlexQube has more than 1200 customers in 40 countries with primary markets being North America and Europe. FlexQube’s customers are found in the manufacturing industry, distribution, and warehousing operations. We represent some of the world’s most successful companies, a significant portion of which are listed on the Fortune 500. These companies operate in the automotive industry, electric vehicle manufacturing, e-commerce, heavy trucks, industrial automation, and retail logistics. FlexQube has also received a new follow-up order from an U.S. customer, one of the world’s largest e-commerce and logistics companies based in the United States. About the position as Mechanical Design Engineer As a Mechanical Design Engineer, you will work in a broad, hands-on role within product development, taking responsibility for the full lifecycle from early concept and design to final production release. The focus is on developing mechanical solutions for robotics and load handling systems, with a strong emphasis on new product development (R&D). The role involves CAD modelling, detailed design, drawings, and dimensioning, as well as ensuring manufacturability through close collaboration with suppliers and customers. You will translate customer requirements into technical design solutions and develop mechanical systems such as load carriers, robotic interfaces, and motion or locking mechanisms.  You will be based at FlexQube’s headquarters in Mölndal and work closely with other mechanical engineers, as well as team members with expertise in hardware, software, electrical systems, and applications. The working approach is characterized by fast decision-making, practical hands-on work, and a strong technical presence. Your main responsibilities: Take ownership of the full mechanical design lifecycle, from early concept development to final production release, with a strong focus on R&D for robotics and load handling systems. Develop CAD models, detailed designs, drawings, and dimensioning, while ensuring manufacturability through close collaboration with suppliers and customers. Translate customer requirements into robust mechanical design solutions. Be part of a project development team where you own your tasks, collaborate closely with colleagues, and are exposed early to customers and real-world applications. About you You have in hands-on product design and/or mechanical construction with a strong focus on metal structures. A post-secondary education in mechanical engineering, product design, or a related field is meritorious. You possess a solid understanding of how mechanical systems function, and have strong CAD skills, where experience in Autodesk Inventor is considered an advantage. The role requires fluency in English, while proficiency in Swedish is considered an advantage. Experience or knowledge in areas such as FEM, 3D printing, Jira, electronics, and plastics/composites is beneficial, as is experience in robotics or AGV/AMR systems. To succeed in the role, we believe that you are a driven and curious individual who enjoys working hands-on with complex technical systems. You are detail-oriented and take pride in completing tasks thoroughly, ensuring nothing is left unfinished. You are a problem-solver, able to take ideas from concept to fully realized solutions. Furthermore, you are a team player who thrives in collaborative, cross-functional environments, and flexible in adapting to fast-paced projects and changing priorities. Important for the position: Experience in hands-on product design and/or mechanical construction with a strong focus on metal structures, sheet metal, and welded assemblies. Solid understanding of how mechanical systems function, such as motion, forces, and torque. Strong CAD skills, with experience in Autodesk Inventor considered an advantage. Fluent English skills. Swedish language skills are considered an advantage. Meritorious:  Post-secondary education in mechanical engineering, product design, or a related field. Knowledge in one or more of the following areas/technologies: FEM, 3D printing, Jira, electronics, plastics, and composite materials. Experience in robotics, AGV/AMR, or other mobile systems   Other information Start: According to agreement. Employment: Full-time, 100%. Location: Mölndal. Salary: According to agreement. If you find the position as Mechanical Design Engineer of interest, do not hesitate to submit your application, as we apply an ongoing selection process. We at Needo look forward to hearing from you!

CSQ227R121 Locations - Sweden, Denmark, Finland (Hybrid/Remote) At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems with the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you are a trusted technical advisor to key customers, providing expert guidance that translates data, analytics and AI challenges into high-impact business value. You help design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and customer enablement. Internally, you will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks Platform in your customers. Delivery Solutions Architects (DSAs) are trusted technical advisors embedded within the customer organization, providing expert guidance that translates data and AI challenges into high-impact business value. They help you design, implement, and scale data and AI solutions, focusing on architecture, operational excellence, and team enablement. DSAs focus on: * Designing secure, scalable architecture  * Aligning people, processes, and technology  * Establishing trusted advisor relationships * Leveraging the broader ecosystem of Databricks experts  This is a hybrid technical and commercial role. Technically, the expectations are that you become the post-sales technical lead and trusted advisor across all Databricks products for the customer’s top priority use cases. This requires you to use your technical skills and credibility to engage and communicate with technical/technical leadership stakeholders in our customer organizations, do architecture reviews, help with performance and cost optimizations, demonstrate new capabilities, remove blockers, etc. In parallel, it is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialized teams within Databricks, and creating and driving onboarding plans.  While not a hands-on-keyboard role, this is a highly technical position where architectural skills in fields such as Data Architecture, Data Engineering, Data Warehousing or Data Science are essential. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: * Be the Databricks Architect working with customer technical teams working on use cases/data products, from development to go-live, addressing any technical challenges and blockers and providing guidance, best practices and enablement * Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts * Be the internal point of contact for any questions related to production/go live status of agreed upon use cases within an account, often for multiple use cases within the largest and most complex organizations * Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert-level technical teams to address the tasks that are beyond your scope of activities or expertise * Create  and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals * Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs, presenting them to the customers when applicable for their ongoing developments * internal and external updates - KPI reporting on the status of usage and customer health, risks and blockers, product adoption and use case progression - to your Field Engineering leadership What we look for: * Programming experience in PySpark, Python and Databricks (or similar data platform) * Understanding and hands-on experience of solution architecture-related distributed data and analytics systems * 5+ years of experience where you have been accountable for delivery of projects in Data, Analytics or AI and where you can contribute to technical debate and design choices with customers * Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting roles * Understanding of how to attribute business value and outcomes to specific project deliverables * Technical program coordination including account and stakeholder management * Experience resolving complex and important escalation with senior customer technical stakeholders * Track record of overachievement against quota, Goals or similar objective targets * Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience * Can travel up to 30%   About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

About Cyberway At Cyberway, we believe that technology can make everyday life simpler, smarter, and more sustainable — for businesses, organizations, and people. That’s why we create solutions that truly make a difference. We combine deep technical expertise with strategic insight, always aiming to transform complex digital challenges into clear, scalable, and future-proof results. We believe in more than just code — we believe in people. It’s the passion, skills, and collaboration of individuals that drive real change. Whether it’s system development, data analysis, UI/UX, infrastructure, or delivery models such as nearshore and team as a service, we build success through experience, innovation, and action — with the right people at the core. The Role We are now looking for an engineer who wants to join our journey. With us, you’ll have the opportunity to work with modern technologies, exciting clients, and projects that make a real impact. The role is diverse — sometimes you’ll work independently, sometimes in teams, always in close dialogue with both customers and colleagues. We believe you have a background that makes you confident in your skills, while also being curious to develop new ones. Most importantly, you want to contribute to building the Cyberway culture together with us. What We're Looking For 5+ years of experience as a Data Engineer with strong knowledge of data modeling (dimensional modeling, star schemas, partitioning, and clustering) Hands-on experience with either: Microsoft Azure (Azure Databricks, Azure Data Factory, Azure DevOps, CI/CD, Azure Storage, Microsoft Fabric, and Power BI), or Google Cloud Platform (GCP) (BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and CI/CD) Strong programming skills in SQL and Python Experience designing and building scalable data pipelines, including data ingestion, transformation, and semantic modeling Solid understanding of data warehousing, ETL/ELT concepts, and modern data platform architectures Experience working with large-scale datasets and optimizing high-volume data processing (including tables containing billions or trillions of rows) is highly valued Familiarity with metadata management, performance tuning, and cost optimization is an advantage Ability to work both independently and collaboratively in agile teams Excellent communication skills in English and/or Swedish What We Offer Exciting and challenging assignments where you make a real difference A work environment built on transparency, trust, and openness We support you in building the career path that suits you best The opportunity to influence both your own development and Cyberway’s future A culture where innovation, people, and action go hand in hand Location For this role, we are looking for someone based in Skåne, as many of our clients and projects are located in the region.

Professional Galaxy är ett IT- och teknikkonsultbolag som tillhandahåller högspecialiserad kompetens inom IT, mjukvaruutveckling, SAP, inköp, elektronik och mekanisk konstruktion. Vi samarbetar med erfarna seniora experter och levererar strategiskt värdeskapande kompetens till några av Sveriges mest komplexa och analytiskt krävande projekt. Vårt fokus ligger alltid på hög kvalitet, professionalism och tydliga, mätbara resultat. Vi söker nu en Erfaren Software Developer / Data Scientist hos vår kund. Om uppdraget I rollen ansvarar du för att utveckla skalbara backendlösningar i Python samtidigt som du bygger AI- och maskininlärningsmodeller för analys av komplex drift- och underhållsdata från avancerade flygsystem. Du arbetar genom hela datakedjan – från datainsamling och ETL-flöden till analys, visualisering och produktionssättning av lösningar. Dina huvudsakliga arbetsuppgifter omfattar bland annat: -Design, utveckling och förvaltning av skalbara backendtjänster och REST API i Python. -Utveckling och implementering av AI- och ML-modeller, inklusive LLM-baserade lösningar, prompt engineering och multi-agentramverk. -Design och utveckling av ETL-processer för batch- och realtidsdata med exempelvis Airflow. -Utveckling av modeller för prediktivt underhåll, felanalys och efterfrågeprognoser. -Framtagning av interaktiva dashboards och visualiseringar med Plotly och andra moderna verktyg. -Arbete med containerbaserade miljöer i Docker och Kubernetes samt CI/CD-processer och versionshantering i Git. Krav Vi söker en erfaren konsult (nivå 3–4) som har: -Akademisk examen inom datavetenskap, data engineering eller annat relevant tekniskt område. -Dokumenterad erfarenhet av Python samt bibliotek som Pandas, NumPy, PyTorch och TensorFlow/Keras. -Erfarenhet av data warehousing samt verktyg för data reliability och observability. -Erfarenhet av AI/ML-utveckling, anomalidetektion och implementering av LLM-baserade lösningar. -Erfarenhet av att utveckla REST API och backendlösningar med exempelvis FastAPI, Flask eller liknande ramverk. -Erfarenhet av Git, Docker, Kubernetes och arbetsflödesorkestrering, exempelvis Airflow. -God kommunikativ förmåga på både svenska och engelska i tal och skrift. Vi ser även att du är en nyfiken och lösningsorienterad person som trivs i skärningspunkten mellan mjukvaruutveckling och dataanalys. Du uppskattar samarbete, delar gärna med dig av din kunskap och bidrar till att utveckla både teamet och de tekniska lösningarna. Övrig information Placeringsort: Tannefors. Arbetsmodell: Uppdraget genomförs huvudsakligen på plats i Tannefors, med viss möjlighet till distansarbete. Uppdragsstart: Enligt överenskommelse. Uppdragsperiod: Enligt överenskommelse. Förlängning: Möjlighet till förlängning finns. Säkerhetsprövning: Säkerhetsprövning krävs innan uppdragsstart. Är du rätt person för uppdraget, eller vill du rekommendera en stark kandidat? Tveka inte att kontakta oss. Ansök gärna redan idag, urval och intervjuer sker löpande Ansök genom att bifoga ditt CV (vi vill inte ha något personligt brev) och besvara urvalsfrågorna. Frågorna utgår från kravprofilen för den här rekryteringen och dina svar ligger till grund för det urval som sker i processen. Att besvara frågorna är en förutsättning för att din ansökan ska anses komplett. Vänligen notera att krav och eventuella meriter ska vara uppfyllda vid ansökningstillfället.

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

Overview As a Data Center Inventory & Asset Technician (DIAT) within Microsoft’s Cloud Operations & Innovation (CO+I) organisation, you will play a critical role in supporting the inventory, logistics, and asset management processes that keep our datacentres running efficiently. In this hands-on role, you will conduct inventory audits, manage inbound and outbound shipments, coordinate vendor access and security escorts, process warranty returns, and maintain accurate asset records. You will gain valuable experience in inventory management, logistics operations, warranty administration, and data-bearing device destruction while building a career within Microsoft’s global cloud infrastructure business. This position is site-based. As public transport options are limited, personal transportation is recommended. CO+I is the organisation that powers Microsoft’s cloud services, including Azure, Office 365, Bing, Xbox, and OneDrive. Our teams deliver the foundational infrastructure that supports millions of customers worldwide while benefiting from ongoing training, professional certifications, career development programmes, and growth opportunities. Microsoft operates more than 200 datacentres across 32 countries, supporting over 1 billion customers and 20 million businesses globally. Sustainability, innovation, and operational excellence are central to how we design, build, and operate our infrastructure. Our mission is to empower every person and organisation on the planet to achieve more. Guided by our values of respect, integrity, and accountability, we foster an inclusive culture where everyone can thrive. Responsibilities Perform inventory and asset management activities, escalating issues when required. Process and document incoming and outgoing deliveries accurately and efficiently. Coordinate warranty claims and Return Merchandise Authorisation (RMA) processes, including packaging, shipping, receiving, and tracking hardware replacements. Maintain accurate inventory records across asset and configuration management systems. Conduct cycle counts, audits, inventory reconciliation, and discrepancy reporting. Ensure proper inventory tracking, staging, and stock management practices. Perform secure destruction of data-bearing devices in accordance with Microsoft policies and service level requirements. Monitor stock levels and notify management of shortages or replenishment needs. Coordinate security escorts for vendors and third-party service providers when required. Follow security, compliance, and data management policies at all times. Apply sound judgement and complete work effectively with minimal supervision. Embody Microsoft’s culture and values in daily operations. Qualifications Required Qualifications High School Diploma or equivalent with experience in warehouse operations, supply chain, inventory management, logistics, retail, IT environments, or a related field. Equivalent practical experience will also be considered. Valid driver's licence and willingness to travel between sites when required. Security Requirements Candidates must be able to meet Microsoft, customer, and/or government security screening requirements, including: Successful completion of the Microsoft Cloud Background Check upon hire or transfer and every two years thereafter. Preferred Qualifications Experience in warehousing, logistics, inventory management, or supply chain operations within an IT or technology environment. Experience operating material-handling equipment such as forklifts, pallet jacks, chassis lifts, or similar equipment. Strong attention to detail and experience maintaining inventory accuracy in large-scale operational environments. Equivalent experience in related operational or logistics roles. Compensation & Benefits This role may be hired at different levels depending on qualifications and experience. Logistics Technician ATR-B Typical annual base salary in Sweden: SEK 322,000 – 421,000 Logistics Technician ATR-C Typical annual base salary in Sweden: SEK 370,000 – 531,000 Additional benefits and compensation may apply depending on employment type and location. Further information is available on Microsoft’s Sweden compensation page: Microsoft Sweden Pay & Benefits This position will remain open for a minimum of five days, with applications accepted on an ongoing basis until the role is filled.

Join the Data & AI journey at Schibsted Media Data and AI are becoming increasingly important in how we build better products, support smarter decisions, and create value across Schibsted Media. We are looking for a Data Engineer who wants to help build reliable, scalable, and well-governed data products used across our media brands. In this role, you will work at the intersection of data engineering, analytics engineering, and platform thinking. You will help us build trusted data models, improve data pipelines, and collaborate closely with stakeholders across Finance, HR, Product, Subscription, and other Data & AI teams. You will join the Data & AI organization in the Data Product Engineering team, where we build data capabilities that help teams across Schibsted Media make better decisions, create trusted data products, and enable future AI use cases. About the role We are looking for someone who enjoys building solid data solutions and working closely with others to turn business needs into useful, maintainable data products. You do not need to have all the answers, but you should be curious, structured, and willing to take ownership of your work. You will contribute to how we build data as a product, including creating data models that are reliable, well-documented, and designed for real use cases, not just pipelines that move data. As part of a newly formed team of Data / Analytics Engineers, you will work with fellow data engineers, collaborate with adjacent teams, and help improve our engineering practices over time. You'll have the opportunity to influence how we work, shape our engineering culture, and make a real impact from day one. We're now looking for 2–3 more engineers to join us on the journey. What you will do Collaborate with stakeholders to understand needs, clarify requirements, and deliver pragmatic data solutions Design, build, and maintain data pipelines using technologies such as Snowflake, dbt, and Airflow Develop maintainable data models that support analytics, reporting, and AI use cases Contribute to good practices for data modeling, transformation, testing, documentation, and governance Work with other Data & AI teams to align on platform capabilities, standards, and shared ways of working Help improve reliability, performance, cost-efficiency, and scalability of our data solutions Participate in code reviews, technical discussions, and continuous improvement of our ways of working Contribute to a culture of ownership, learning, and collaboration What we are looking forMust have 3+ years experience as a Data Engineer, Analytics Engineer, or similar role Strong SQL skills and good understanding of data warehousing concepts Experience building data pipelines or data models for analytics, reporting, or product use cases Experience with modern data transformation or orchestration tools, such as dbt, Airflow, or similar Ability to take ownership of tasks and deliver maintainable solutions Good communication skills and ability to work with both technical and non-technical stakeholders. English is our main working language. Collaborative mindset and willingness to learn from and contribute to the team Nice to have Experience with Python or scripting for data engineering workflows Experience with Snowflake, dbt, Airflow, or similar tools Experience with CI/CD, version control, and engineering best practices Experience with cloud platforms such as AWS, GCP, or Azure Interest in data quality, observability, governance, or access control Experience working in a cross-functional or product-oriented environment Why join us? Opportunity to build trusted data products with real impact across Schibsted Media A role with ownership, learning opportunities, and support from experienced colleagues Flexible working hours and hybrid work options with strong trust and autonomy International environment with offices in Oslo, Stockholm, and Krakow Strong learning culture with learning budget and active engineering & AI communities Access to Schibsted’s media products, including premium news and podcasts About you You enjoy turning messy problems into clear, maintainable solutions. You care about technical quality, but you also understand that good engineering is about tradeoffs, communication, and delivering value. You are comfortable asking questions, learning from others, and taking responsibility for your work. You like collaborating with stakeholders and teammates, and you want to grow as an engineer while contributing to data products that are useful, trusted, and impactful. When you apply, we'd love to get to know the real you. We value authentic applications and are much more interested in your own thoughts, experiences, and motivations than polished AI-generated content. If you want to help build trusted data products that enable better decisions and future AI capabilities across Schibsted Media, we would love to hear from you.

Role Overview We are seeking a visionary and technically proficient IT Strategy and Data Engineer to bridge the gap between our business objectives and our technical data capabilities. You will design, build, and optimize robust data pipelines and architectures, while concurrently architecting long-term IT and data strategies that drive company growth. Key Responsibilities Data Engineering & Architecture Pipeline Development: Design, construct, and maintain scalable data pipelines and API integrations for complex, high-volume datasets. ETL/ELT Workflows: Build and manage data warehousing solutions using automated Extract, Transform, Load (ETL) frameworks. Data Governance & Quality: Implement data quality assurance frameworks and enforce data security and privacy compliance standards. Database Management: Optimize database performance (e.g., query optimization, indexing, partitioning) to ensure efficient data availability. [1, 2, 3, 4, 5, 6, 7] IT & Data Strategy Strategic Planning: Collaborate with executive leadership and cross-functional teams to shape the long-term data platform and enterprise architecture roadmap. [1] Vendor & Tool Evaluation: Research, evaluate, and recommend open-source technologies, third-party vendor tools, and cloud platforms (e.g., AWS, GCP, Azure). [1, 2] Business Alignment: Translate high-level business requirements into technical solutions and establish metrics to measure the strategic impact of new data solutions. [1, 2] Cross-Functional Leadership: Partner with Data Analysts and Data Scientists to design data models that empower business intelligence (BI)

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 take a key role in shaping a governed self-service data platform in a complex retail environment. The focus is on enabling centrally managed reporting, governed self-service, and scalable domain-owned data products that can support many parts of the business. In this role, you will guide the target-state architecture for a modern data platform and help create the standards, guardrails, and reusable patterns that make it scalable over time. You will work closely with teams across enterprise architecture, security, IAM, governance, cloud, and delivery, while also supporting reporting and analytics initiatives built on Microsoft technologies. This is a strong opportunity for you if you enjoy platform thinking, architecture ownership, and influencing how data products and reporting capabilities are built in a large international setting. Job DescriptionYou will define and evolve the target-state architecture for the self-service data platform and document key decisions through Architecture Decision Records. You will guide architecture across Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, Dataflows, notebooks, semantic models, APIs, and integrations. You will establish patterns for workspaces, environments, capacity, tenants, deployment, and lifecycle management. You will define reusable data-product patterns covering layering, data contracts, metadata, lineage, versioning, and consumption standards. You will support architecture for current and future domain data products and help teams adopt platform standards. You will design governance principles, including catalog strategy, quality framework, federated governance, and platform guardrails. You will define integration patterns for APIs, batch, events, CDC, D365, Dataverse, and legacy-source connectivity. You will assess when Microsoft Fabric is the right fit and when other tools, such as Databricks, are more appropriate. You will guide secure access models, environment separation, identity patterns, and data segregation needs. You will define SLA and SLO principles and provide architecture reviews and technical guidance across platform and reporting teams. RequirementsStrong and demonstrable data-platform architecture experience, including ownership of scalable platform designs rather than only individual solutions or pipelines. Strong Microsoft Fabric, Azure data-platform, or equivalent modern cloud data-platform experience with a clear transfer path to Fabric. Deep understanding of lakehouse architecture, data warehousing, data modeling, and data-product patterns. Strong understanding of governance, security, IAM, lineage, metadata, and operational requirements at design level. Experience with integration patterns including APIs, batch, events, CDC, and legacy-source connectivity. Proven ability to create, communicate, and defend Architecture Decision Records with senior stakeholders. Ability to define standards, guardrails, and reusable patterns that delivery teams can adopt. Minimum approximately eight years of data-platform experience with demonstrable platform-level architecture ownership. You communicate clearly in English. Nice to haveExperience with Databricks, Azure Data Lake, Azure Data Factory, or Synapse. Experience with Microsoft Purview, including catalog, Data Map, lineage, and governance tooling. Experience with Fabric domains, workspace design, deployment pipelines, and tenant-level setup. Experience with D365 F&O, Dataverse, CORE, or similar enterprise-source systems. Experience with data mesh, domain-owned data products, or federated governance. Exposure to platform operations, observability, FinOps, and SLA or SLO design. Experience from franchise, retail, or multi-entity data-segregation scenarios. Relevant certifications such as DP-600, DP-700, or Azure Solutions Architect Expert. You are comfortable working in a platform-building environment where not everything is fully defined, and you create clear documentation and reusable patterns as part of your daily work. 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.

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world’s leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. We’re at the forefront of digital storytelling, driven by a vision to make the world a more empathetic and creative place. Ready for your next chapter? We are now on the lookout for a platform-focused Senior Data Engineer to join the team in Stockholm. ABOUT THE TEAM The Data Engineering team is responsible for empowering Storytel with data. We drive the full data lifecycle, from ingestion to delivery, and help ensure that the rest of the business have the data, tools and engineering collaboration needed to help make informed data-driven decisions. As a team, we provide cross-functional competencies in data engineering as well as analytics engineering to the rest of Storytel. Some of the tech stack and tools we work with are dbt (SQL), Looker, BigQuery, Python, Airflow, Terraform, CI/CD, Github, Airbyte as well as other products included within the Google Cloud Platform. Moreover, we like to keep our skills up to date by frequently engaging lab days. ABOUT THE ROLE As a Data Engineer, your main responsibility will be to enable the team and the rest of the organization with a data platform and the tools that power data at Storytel. You will have the opportunity to work in a dynamic environment with plenty of opportunities to experiment with new technologies and solutions. Our team is highly collaborative and works in a cross-functional organizational landscape with the following: Example of responsibilities * Build core infrastructure: Contribute to building a large-scale, highly performant self-service data platform using cutting-edge technologies * Innovate and improve: Drive internal tooling and process development to continuously increase data quality and constantly improve the engineering experience. * Excellence in data management: Continuously improve on building capabilities for effective data utilization across Storytel. * Collaboration: Collaborate with other engineers, data analysts, data scientists, and decision-makers to understand needs and build self-service. ABOUT YOU To be a fit for our team, we believe that you: * Have a few years of hands-on experience in delivering data products and know the value of accurate consistent data infrastructure. * Have experience in delivering infrastructure using Docker, Kubernetes, Terraform, Github (Github actions), and maintaining data orchestration tools such as Airflow, dbt, Airbyte. * Have experience with cloud infrastructure (Azure, AWS, or GCP) and data warehousing (preferably BigQuery). * Have a good understanding of data access, storage, and optimization. * Are able to break down and explain complicated technical solutions independent of stakeholders. * Thrive in an environment focusing on innovation and collaboration and continuously work on personal development. Bonus qualifications: * Experience with streaming data ingestion. * Expertise in developing CI/CD pipelines tailored for data infrastructure. JOIN A WORLD OF STORIES At Storytel, we’re a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us. Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile – no cover letter needed. Answer a few questions, and you’re all set.

(FEQ427R233) At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.  You will be an essential part of this mission, using your technical expertise to demonstrate how our Lakehouse Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.  Join us in our quest to change how people work with data and make a better world! This role will report to a Field Engineering Manager in the Emerging Enterprises team.  The impact you will have: * Develop customer engagement strategies in partnership with Account Executive(s) for Startup & Digital Native customers in the Nordics region. * Coach junior Solutions Architects and teams on use case prioritization and building technical champions. * You will influence stakeholders at all levels through complex engagements with the wider cloud ecosystem and 3rd party applications, ensuring they are excited by the Databricks vision and solution strategy. * Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform. * Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups. * Opportunity to continue your development in one of four tracks - technical specialization, industry vertical thought leadership, strategic customer vision, and people management. What we look for: * Deep expertise across the data landscape—including Data Engineering, Data Warehousing, and GenAI—with a strong "AI-Builder" mindset. * Experience working with and/or within Startups and Digital Native organisations will be advantageous for this role. * Able to engage effectively in complex customer interactions and sales lifecycle in a technical pre-sales capacity. Experience influencing decision-makers and C-level executives through developing relationships and orchestrating teams to achieve long-term success for customers. * Skilled in coding with one or more core programming language (i.e., Python, SQL, Scala, Java) plus foundational knowledge of Apache Spark / ability to upskill quickly in distributed computing technologies.  * Hands-on expertise with complex proofs-of-concept and public cloud (AWS, Azure, GCP) / modern data platforms. Databricks Certification(s) are not a must-have but will be beneficial for the role!   * Know how to provide technical solutions for specialized customer needs and navigate a competitive landscape. Notes on mandatory requirements:  * Location for the role will be in Stockholm (or within a commutable distance for hybrid schedule). * Flexibility to travel (up to 20-30% as required for customer meetings, events and trainings). #LI-hybrid About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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. As an Engineering Manager, Data, you will lead a multi-disciplinary team of ML engineers, data scientists, and data engineers building the retrieval, ranking, and contextual-bandit systems, and the real-time serving and data infrastructure beneath them, that decides what Truecaller recommends and shows to hundreds of millions of users. The role sits at the intersection of technical depth and people leadership: you will set direction across an applied-ML stack, keep a highly specialized team healthy and growing, and turn a research-heavy roadmap into shipped, reliable systems. What you'll do: * Lead, grow, and retain a high-performing team of ML engineers, data scientists, and data engineers, investing deliberately in each person's development and career path. * Set technical direction for the core intelligence behind Truecaller’s calling and search intelligence, along with the real-time serving and data platforms that support them. * Own team planning, prioritization, and delivery, balancing near-term product commitments against long-term platform health. * Partner closely with product, data science, and other engineering teams to translate business goals into a clear technical roadmap. * Push for reuse: config-driven, composable platforms and closed feedback loops rather than one-off models and pipelines. * Drive rigor in experimentation and evaluation, from offline metrics to online A/B tests, so model changes ship on measured impact. * Keep production systems reliable at scale, owning the latency, quality, and cost of models serving hundreds of millions of users. * Run regular 1:1s, performance reviews, and career development conversations, and recruit and onboard new talent as the team grows. * Stay close enough to the technical detail to make informed calls, unblock your team, and earn credibility with senior ML, Data Scientists and engineers. What you bring in: * Proven experience leading or managing engineering or ML teams, ideally in recommendations, ranking, ads, search, or a similarly ML-heavy domain. * A solid grasp of applied ML in production - retrieval and ranking, experimentation, model serving, and the data that feeds them - enough to engage credibly on technical trade-offs. You do not need to be the strongest modeler in the room; you need to lead the people who are. * Working knowledge of backend and data engineering practices - architecture, real-time systems, pipelines, and warehousing - enough to reason about the full stack your team owns. * Strong leadership and communication skills, with the ability to align specialists with different skill sets toward shared goals. * A track record of delivering complex technical projects on time and at scale. * Comfort operating in ambiguity and making pragmatic trade-offs between speed and quality. * A collaborative mindset and the ability to work closely with cross-functional stakeholders. It would be great if you also have: * A hands-on background in ML engineering, data science, or backend development before moving into management. * Familiarity with large-scale data and ML platforms (Spark, Kafka, Airflow, feature stores, model serving). * Familiarity with cloud infrastructure (GCP preferred; AWS or Azure also fine). * Experience scaling teams in a high-growth tech environment. 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.

Job title: tandoor Cook– specializing in Indian tandoor cooking Duties: Prepare and develop traditional and modern Indian dishes, including vegetarian and non-vegetarian options. Prepare raw materials, original spice blends, marinades, and sauces according to authentic Indian tandoor recipes. Plan menus and contribute to new dishes in collaboration with the restaurant management. Responsible for ensuring that cooking takes place with high quality, taste and presentation. Follow routines for hygiene and food safety according to Swedish regulations. Participate in the ordering of raw materials and warehousing. collaborate with other kitchen staff for efficient workflow. Qualifications: At least 2-3 years of documented experience as a chef in Indian cooking. In-depth knowledge of Indian spices, techniques, and cooking methods. Ability to work at a high pace and under time pressure. Experience as a cook from hotels in Indian cuisine . Working language is English , merit if can converse in hindi and Punjabi. Type of employment: Full-time permanent employment, 40 hours per week. Scheduled work, including evenings and weekends. Workplace location: Mat concept by harminder AB, solnavägen 104 A , SOLNA Salary & benefits: Monthly salary: According to collective agreement/industry practice. Holiday pay according to law and collective agreements. Insurances: Health, life, occupational injury and occupational pension (compulsory insurances taken out). ACCES / JOINING DATE : as soon as possible or by agreement Working hours: Full-time, 40 hours per week. Working hours according to schedule (day/evening/weekend). Other: The employment is subject to union review. The union opinion is obtained from the Hotel and Restaurant Union (HRF). Yrkestitel: Kock – specialiserad på indisk matlagning Arbetsuppgifter: • Tillaga och utveckla traditionella och moderna indiska rätter, inklusive vegetariska och icke-vegetariska alternativ. • Tillaga råvaror, originella kryddblandningar, marinader och såser enligt autentiska indiska recept. • Planera menyer och bidra till nya rätter i samarbete med restaurangledningen. • Ansvara för att matlagningen sker med hög kvalitet, smak och presentation. • Följa rutiner för hygien och livsmedelssäkerhet enligt svenska föreskrifter. • Delta i beställning av råvaror och lagerhållning. • Samarbeta med övrig kökspersonal för ett effektivt arbetsflöde. Kvalifikationer: • Minst 2-3 års dokumenterad erfarenhet som kock inom indisk matlagning. • Djupgående kunskap om indiska kryddor, tekniker och tillagningsmetoder. • Förmåga att arbeta i högt tempo och under tidspress. • Erfarenhet som kock från hotell inom indisk matlagning. • Arbetsspråk är engelska, meriterande om man kan tala hindi och punjabi. Anställningsform: Heltid, tillsvidareanställning, 40 timmar per vecka. Schemalagt arbete, inklusive kvällar och helger. Arbetsplats: Mat concept by harminder AB, solnavägen 104 A, SOLNA Lön och förmåner: • Månadslön: Enligt kollektivavtal/branschpraxis. • Semesterlön enligt lag och kollektivavtal. • Försäkringar: Sjuk-, liv-, arbetsskade- och tjänstepension (obligatoriska försäkringar tecknas). TILLTRÄDE : snarast eller enligt överenskommelse Arbetstid: Heltid, 40 timmar per vecka. Arbetstid enligt schema (dag/kväll/helg). Övrigt: Anställningen är föremål för facklig prövning. Fackligt yttrande inhämtas från Hotell- och restaurangfacket (HRF).