Iščemo software developerja, ki se bo pridružil naši Delivery ekipi in pomagal graditi sodobne cloud rešitve za nekatera najbolj cenjenih podjetij v regiji. Kot #1 Salesforce partner na Jadranu vodimo projekte, ki neposredno izboljšujejo način, kako naše stranke prodajajo, nudijo podporo in rastejo. Delal boš z vrhunskimi strokovnjaki iz Salesforce ekosistema ter pomagal snovati, graditi in dostavljati rešitve z uporabo najnovejših tehnologij. Cenimo sodelovanje, učenje in avtonomijo ter ti ustvarjamo prostor za rast:) Delo vključuje: -Razvoj, testiranje in implementacija Salesforce rešitev (Sales, Service & Marketing Cloud). -Sodelovanje s product managerji, inženirji in solution arhitekti pri gradnji pametnih, scalable funkcionalnosti. -Neposredna komunikacija s strankami, razumevanje njihovih potreb in ponujanje rešitev, ki naredijo razliko. -Vplivanje na zadovoljstvo in uspeh strank prek kakovostnih in uporabnih rešitev, ki jih dostaviš. -Izkušnje z Javo in razumevanje object-oriented programiranja (Java, C#, Python). -Poznavanje web tehnologij in integracijskih vmesnikov (SQL, JSON, XML, REST itd.). -Prednost: izkušnje z JavaScript in React. -Prednost: izkušnje s Salesforce tehnologijami (Apex, LWC). -Dobre komunikacijske sposobnosti. -Radovednost, energija in proaktivna miselnost. -Odlično znanje slovenščine in dobro znanje angleščine (pisno in ustno). -Zaposlitev za polni delovni čas s 6-mesečno poskusno dobo. -Strukturiran onboarding in mentorstvo, ki ti pomaga uspeti. -Fleksibilen delovni čas (dostopnost med 9. in 15. uro – preostalo si razporediš sam) -Hibridno delovno okolje (kombinacija dela od doma in v pisarni v Ljubljani). -Možnosti pridobitve Salesforce certifikatov znotraj enega najbolj dinamičnih IT ekosistemov. -Stock options, s katerimi si del našega uspeha. -Dodatno pokojninsko zavarovanje. -Financiranje športnih aktivnosti. -Zanimivi projekti, kjer sodeluješ z slovenskimi in mednarodnimi strankami. -Sodobno, dinamično in prijazno delovno okolje. -Sproščena in mednarodna ekipa strokovnjakov, ki vodi razvoj Salesforce rešitev v regiji. -Avtonomija in zaupanje – spodbujamo učenje iz napak in rast skozi izkušnje. -Redne team-building aktivnosti – nekaj za vsakogar. -Certifikat "Family-Friendly Enterprise". -Salesforce Partner of the Year za jugovzhodno Evropo. -Best Employer leta 2023 (Slovenija, kategorija srednje velika podjetja – nagrada Zlata nit). -Močna zavezanost dobremu počutju zaposlenih. Vabimo vas, da se na delovno mesto prijavite s sporočilom na [email protected] kamor oddate svoj CV skupaj s kratkim opisom, zakaj menite, da ste pravi kandidat/-ka za to vlogo:) Vaša prijava bo obravnavana zaupno! Če imate kakršna koli vprašanja ali pomisleke, nas lahko kontaktirate. Veselimo se vaše prijave! :)
Objavljeno pred: 4 tedne
About us You'll join MTS (Managed Trading Services) - the platform behind Sportradar's risk betting management, processing millions of bets in real time for operators around the world. Our teams own high-throughput, low-latency services: risk and liability, odds and offer, ticket validation, and the data plane that feeds them. We work in a modern cloud-native stack: Java (Spring Boot / Quarkus), Kafka / MSK, gRPC & Protobuf, AWS (EKS, ECS, DynamoDB, Aurora), ArgoCD / GitOps, Terraform, and observability on Grafana, Prometheus and OpenTelemetry. This is a great place to level up: you'll ship real features to production quickly, learn a genuinely rich domain, and grow toward owning larger pieces of it. The challenge - Design, build, test and ship backend services and APIs that are part of a larger, real-time system; and see them through to production. - Deliver in small increments. Break work into concrete, independently shippable pieces that land and get validated as you go, rather than accumulating into one big drop. - Own your changes in production; help with monitoring, alerting and the occasional on-call, and learn how your services behave under real load. - Write clean, well-tested, documented code, take part in code review, and help capture key decisions so the team can build on them. - Learn the MTS ecosystem; how the interconnected services fit together; and grow the independence to make more calls yourself over time. - Work with product managers and senior engineers to turn requirements into well-shaped, deliverable work. - Use modern, AI-assisted development; we actively encourage spec-driven, agentic workflows to move faster with quality. About you Must-have skills - 2+ years of professional experience with Java (Spring Boot, Hibernate, or similar modern frameworks) or another strong OO language. - Good grasp of computer science fundamentals and clean, testable code. - Solid understanding of automated testing; unit, integration, and API testing (JUnit, Mockito, or similar). - Comfortable with CI/CD and collaborative git workflows. - AI-assisted, spec-driven development as part of your day-to-day workflow; not just autocomplete. - Willingness to run what you build; going beyond writing code to owning your changes in production (deployment, monitoring, on-call). Nice-to-have skills - Exposure to AWS, Kafka, Docker / Kubernetes, or relational and NoSQL databases. - Familiarity with gRPC / protobuf, Rest API design, or event-driven systems. - Interest in IaC (Terraform), GitOps, or observability tooling. - Interest in betting, trading, or other real-time / high-throughput domains. Personal traits - Eager to learn; a complex domain and a modern stack, quickly. - Takes ownership of their work and wants to grow toward owning features end-to-end. - A collaborative teammate with good communication who asks questions and gives honest input. - Pragmatic, with a bias toward shipping small and often. - A positive, can-do attitude and a commitment to high professional standards. Our offer - A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia, and the US), including various social events and teambuilding. - Ability to shape your own workday and career via a clearly defined professional and personal development plan. - Opportunity to develop yourself within an inspiring and fast-growing company with our Career framework possibilities. - Vibrant and inclusive community, including Women in Tech and Pride groups, which welcome all participants. - Global Employee Assistance Programme. - Calm and Reulay app (managing stress, maintaining focus, improving sleep, building resilience). - Online training videos. - Flexible working hours. While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation; both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together. Certain exemptions may apply depending on location; your local point of contact can provide further details. Our recruitment process - Initial screening: a quick video chat with our Talent Acquisition Partner. - Introduction interview: meet the technical team and hiring manager to dive into the team and your expertise. - Technical assessment: a short home task with emphasis on your AI-assisted, spec-driven development skills; showing how you use agentic workflows to deliver. - Final interview: discuss your solution and team fit with additional team members. - Final steps: feedback and, if successful, an offer. https://smrtr.io/B-Dps
About us: As a Senior Software Engineer at Sportradar, you will work on the development of Sportradar's data analytics platform and data pipelines to collect, transform, warehouse, and analyze large volumes of sports data and data related to the use of Sportradar's products. You will help develop and support our big data infrastructure, working closely with data scientists and BI developers leveraging the platform for analytics and AI/ML applications. Our cloud-native platform uses a combination of managed cloud services and cloud-hosted open source frameworks to manage and query 100s of billions of rows of data and run analytics workloads such as machine learning inference and interactive dashboard applications in production effectively and efficiently. The challenge: - Design, develop, and run scalable, reliable, and secure data warehousing architectures and data integration/processing pipelines. - Data modeling and integration of data for machine learning, analytics and reporting use cases. - Perform ad-hoc data analyses, support data scientists and analysts with their data requirements. - Design, deployment and monitoring of infrastructure supporting distributed batch analytics jobs and real-time streaming analytics infrastructure. - Support the development of state-of-the-art machine learning, data analytics and reporting solutions leveraging our data. - Present technical architectures, ideas, and solutions to fellow engineers in a clear and understandable way, and contribute to the evolution of our technology stack. About you: - Demonstrated technical expertise in the following areas: databases, data modeling, ETL processes. - Experience with data warehousing and/or big data query engines such as Amazon Redshift, Snowflake, Amazon Athena, Presto. - Minimum 4 years of hands-on programming experience in the Java ecosystem. - Experience with production database administration. - Advanced knowledge of SQL. - Experience working with streaming data (e.g., Kafka, RabbitMQ). - Bonus: Experience with Apache NiFi, Flink, Airflow, or Dagster. - Bachelor of Science in Computer Science / Engineering, Mathematics / Statistics, or related field; equivalent experience acceptable. - Fluent in English (written and spoken). - Autonomous, rigorous, creative, and a team player. Our offer: - A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and the US), including various social events and teambuilding. - Ability to shape your own workday and career via a clearly defined professional and personal development plan. - Opportunity to develop yourself within an inspiring and fast-growing company with our Career framework possibilities. - Vibrant and inclusive community, including Women in Tech and Pride groups, which welcome all participants. - Global Employee Assistance Programme. - Calm and Reulay app (managing stress, maintaining focus, improving sleep, building resilience). - Online training videos. - Flexible working hours. While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation; both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together. Certain exemptions may apply depending on location; your local point of contact can provide further details. Our recruitment process: - Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. - Technical Interview: Meet with the Hiring Manager to discuss your background and experience, as well as team fit. - Final Interview: Meet with the local team and take a tour of our office for a final meet-and-greet. - Final Steps: Receive feedback and, if successful, an offer! https://smrtr.io/C97Xb
#GameDev Job: Content Creation & Marketing Sunbox Games smo majhen indie studio iz Ljubljane. Iščemo sodelavca, ki bo prevzel vse marketinške naloge in svetu predstavil našo prihajajočo PC igro Yugopunk. https://yugopunk.com/ Kaj potrebujemo: - Multimedijske vsebine: snemanje in montaža videov (long & short form), zajem gameplaya, urejanje fotografij - Tekstovna vsebina: pisanje vsebin o igri v tekoči angleščini - Socialna omrežja: načrtovanje rednih in viralnih objav, oglaševanje, analitika, engamgement - Skupnost: gradnja Discord in Steam skupnosti, interakcija, zbiranje testerjev - Drugo: merch, dogodki, testiranje, dokumentiranje in iskanje novih marketinških priložnosti Dobro je, da obvladaš: - Orodja: Video in foto obdelava (Adobe suite, DaVinci ali podobni), Notion, Slack, Buffer/SocialBu, Google Analytics, osnove Markdowna in HTML-ja (formatiranje objav), Steam - Omrežja: FB, IG, TikTok, YouTube, Reddit, Steam Community - Igre: razumeš, kaj je bug, in se spoznaš na first-person ali survival igre - (Opcijsko) si jugonostalgik z marketinško žilico Ponujamo: - Redno mesečno plačilo in različne oblike sodelovanja (zaposlitev, s.p.), s poskusno dobo - 1450-1700 € neto, odvisno od znanja, z možnostjo napredovanja - Delo v mladem indie game studiu - Remote delo (Ljubljana), računalniško opremo zagotovimo CV in 2-3 primere svojih videov ali social vsebin pošlji na [email protected] ali pa se prijavi preko https://yugopunk.com/jobs/ Več o projektu na yugopunk.com
Naša razvojna ekipa se širi, saj podpiramo vse več novih funkcionalnosti, procesov z veliko medijskih vsebin in izboljšav produkta. Iščemo Full Stack Developerja, ki se suvereno giblje po celotnem stacku: od sheme baze in API-ja do uporabniškega vmesnika, s katerim stranka dejansko dela. Funkcionalnosti boš samostojno peljal/a od ideje do produkcije. Zasnoval/a boš podatkovni model, nad njim zgradil/a čist GraphQL API in vse skupaj povezal/a v hiter, odziven vmesnik v Reactu in Next.js. Vloga je praktična, usmerjena v produkt in ti od prvega dne daje veliko odgovornosti. Kaj boš delal/a: – prevzel/a odgovornost za funkcionalnosti od začetka do konca: od PostgreSQL sheme prek premišljenega GraphQL API-ja do dodelanega React/Next.js vmesnika, – pisal/a GraphQL queryje in mutacije, ki ostanejo učinkoviti in se neopazno ne sprevržejo v stotine klicev v bazo, – prenašal/a dizajne v kakovostne, odzivne UI komponente, – povezoval/a zunanje storitve: plačila, e-commerce platforme, e-pošto, oblačno shrambo, – že privzeto razmišljal/a o performansah in pravilnosti delovanja ter sledil/a obstoječim vzorcem, namesto da bi jih izumljal/a na novo, – sproti izboljševal/a strukturo in vzdrževanost kode na frontendu in backendu. Potek izbirnega postopka: Uvodni pogovor z Ano (Talent Partner) Kratka tehnična naloga Tehnični pogovor z Nejcem (Lead Software Developer) in Urbanom (CEO in soustanovitelj) – Vsaj 2 leti izkušenj z razvojem na frontendu in backendu, – obvezne izkušnje z Reactom, Next.js in GraphQL, – solidne backend izkušnje z Node.js in TypeScriptom, – dobro znanje SQL in PostgreSQL: razumeš, kako baza izvaja poizvedbe, in skrbiš, da ostanejo hitre, brez skrivanja za ORM-jem, – dobro znanje HTML, CSS, JavaScripta in Gita. – izkušnje z razvojem spletnih aplikacij ali dashboardov. – sposobnost samostojnega dela in izvedbe v dogovorjenih rokih. – dobro se znajdeš v hitrem, startupovskem okolju. Prednost bodo imeli kandidati z: – izkušnjami z razvojem SaaS dashboard vmesnikov, – poznavanjem GraphQL-a onkraj osnov, – izkušnjami s samostojnim vodenjem več funkcionalnosti ali projektov od začetka do konca, – zanimanjem za AI funkcionalnosti, kot so asistenti na osnovi LLM-jev ter semantično iskanje in embeddingi. - Nagrado za skupen uspeh: Poleg rednega plačila nudimo letni bonus, vezan na uspešnost podjetja. - Konkurenčno plačilo - Vrhunski AI Toolset: Vsakemu razvijalcu zagotovimo naročnino na Claude Code in ostala napredna orodja za maksimalno produktivnost. - Modern Tech Stack: Delo na najnovejših verzijah Next.js, React Native in GraphQL. Pozabi na "legacy" kodo, pri nas gradimo na svežih temeljih. - Kulturo globokega dela (Deep Work): minimalno število sestankov in klicev. Verjamemo v mir za kodiranje in asinhrono komunikacijo. - Popolno fleksibilnost: Delaj od koderkoli (Full Remote) ali pa se nam pridruži v naši ljubljanski pisarni. - Neposreden vpliv: majhna ekipa pomeni, da tvoja koda in tvoje ideje dejansko oblikujejo produkt, ki ga uporabljajo blagovne znamke po celem svetu. - Osebno rast: mentorstvo s strani izkušenih inženirjev in jasno pot do seniornih ali full-stack pozicij. Ana Kloar [email protected]
Iščemo QA-ja/-ko, ki bi se pridružil/-a naši razvojni ekipi v Ljubljani. Kot ključni član ekipe boš sodeloval/-a pri razvoju naših "fintech" produktov in storitev. Opravka boš imel/-a s testiranjem orodij, spletnih aplikacij ter mobilnih spletnih aplikacij za obdelavo kartičnih plačil, z digitalnimi denarnicami, bančnim prometom, brandiranimi kreditnimi karticami, POS sistemi, API integracijami ter drugimi zanimivimi izzivi. vsaj 1 leto izkušenj z ročnim testiranjem, razumevanje REST apijev in izkušnje z orodji, kot so postman/hoppscotch/curl, razumevanje podatkovnih baz/podatkovnih skladišč dobro razumevanje mikrostoritev poznavanje AI orodij tekoče znanje angleškega jezika, poznavanje tracking orodji kot Jira, dobro razumevanje GIT-a, prisotnost v pisarni v Ljubljani 3 dni v tednu. nice to have (ni pa nuja): izkušnje z avtomatizacijo (cypress, playwright) osnovno znanje programskih jezikov JS, TS, Node,…, izkušnje z logging orodji, izkušnje iz fintech sistemov, izkušnje z orodji za monitoring, DataDog, CloudWatch, Grafana …, plačilo od 2000 € do 3000 € in naprej, odvisno od izkušenj in znanja, pogodbo za nedoločen čas in polni delovni čas, zaposlitev preko s.p., plačan dopust, sodobno opremo (mac ali pc), potovanja v ZDA (neobvezno). [email protected] ali pa prijava preko oglasa https://www.linkedin.com/jobs/view/4477163193/
About us: We are looking for a Machine Learning Engineer to join Sportradar's AI Unit, an established, high-performing team of AI experts working on the design, development, and deployment of advanced machine learning models that power sports betting, trading, media, and sports performance products. As part of our AI team, you will leverage Sportradar's unique sports datasets, betting transaction data, user interaction data, and large-scale tracking data to develop innovative AI and analytics solutions. Depending on your expertise and interests, your work may focus on predictive analytics for sportsbook risk management and liquidity-driven odds trading, or on generative AI and deep learning solutions for sports performance modelling, simulation, and virtualization. You will collaborate closely with product owners, technical leads, and software engineers to transform AI research into scalable production systems that deliver measurable business impact across Sportradar's product portfolio. The challenge: - Analyse, explore, and visualize large-scale datasets using statistical methods and modern data science tools. - Develop machine learning models ranging from predictive and statistical models to deep learning and generative AI solutions. - Design and implement data processing, training, validation, and inference pipelines for production-grade AI systems. - Rigorously validate methods, models, algorithms, and hypotheses through historical back-testing, simulations, and experimentation. - Bring AI solutions into production leveraging Sportradar's AI platform, ensuring model monitoring, maintenance, and continuous improvement. - Design innovative approaches for analysing sports, betting, tracking, and behavioural data to enhance products and services. - Collaborate with product and engineering teams to integrate model outputs into real-world product experiences. - Present complex technical concepts and findings to both technical and non-technical stakeholders. About you: - Strong knowledge of machine learning, statistics, and data science. - Proven software engineering experience and strong programming skills in Python and Java. - Experience building and deploying production-grade ML solutions. - Proficiency with modern ML frameworks such as PyTorch and large-scale data processing. - Advanced SQL skills and experience working with large datasets. - Experience in one or more of the following areas: Predictive modelling, risk management, trading, or quantitative analytics. Deep learning, Natural Language Processing, transformers, sequence modelling, or representation learning. - Experience validating models through experimentation, simulations, and back-testing. - Experience with cloud computing, preferably AWS. - Experience with agentic coding tools, like Cursor or Claude code. - Bonus: Experience with Kafka, Flink, real-time analytics, or distributed systems. - Bonus: Experience with tracking, time-series, computer vision, pose estimation, or spatiotemporal data. - Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field. - Fluent in English (written and spoken). - Autonomous, analytical, creative, and collaborative mindset. Our offer: - A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and the US), including various social events and teambuilding. - Flexibility to manage your workday and tasks with autonomy. - A balance of structure and autonomy to tackle your daily tasks. - Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. - Global Employee Assistance Programme. - Calm and Reulay apps (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). - Online training videos. - Flexible working hours. While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together. Certain exemptions may apply depending on location — your local point of contact can provide further details. Our recruitment process: - Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. - Technical Interview: Meet with the Technical team to discuss your background and experience and assess team fit. - Onsite Interview: Meet with the local team and take a tour of our office for a final meet-and-greet. - Final Steps: Receive feedback and, if successful, an offer! https://smrtr.io/Ccchs
About us: We are looking for a Back-end developer to join Sportradar's engineering team developing our Argos platform, Sportradar's cloud-native, low-latency infrastructure for computer vision processing. As a Software Engineer within Sportradar's AI unit, you will work with an experienced team of data scientists, developers, and DevOps engineers building innovative infrastructure solutions for computer vision, machine learning, and data analytics workloads. The challenge: - Research, design, development, deployment, and day-to-day operations of solutions for real-time, low-latency computer vision processing, hosted in the AWS cloud. - Collaborate and support our team of computer vision researchers with the integration and productization of computer vision models. - Contribute to the evolution of our technology stack and technical architectures powering computer vision and AI workloads, as part of a growing team of talented developers, data scientists, and data engineers already dedicated to this mission. About you: - Knowledge of programming in Python with demonstrable hands-on experience developing production-grade solutions. - Hands-on experience with containers and container orchestration frameworks (Docker, Kubernetes). - Must be comfortable with modern software development methodologies such as agile development, git, CI/CD, code review, etc… - Must be comfortable with using AI coding tools and agentic technologies. - Bonus: Experience with development in Golang and/or Java. - Bonus: Demonstrated experience with productization of CV/ML models. - Bonus: Understanding of machine learning / deep learning concepts and some hands-on experience with machine learning or computer vision using deep learning frameworks (e.g., PyTorch, Keras, TensorFlow, MXNet). - Bonus: DevOps experience (hands-on experience with the design, set-up, and administration of infrastructure) and with cloud services like AWS/Azure. - Bachelor of Science in Computer Science / Engineering, Mathematics / Statistics, or related field; equivalent experience acceptable. - Fluent in English (written and spoken). - Autonomous, rigorous, creative, and a team player. Our offer: - A collaborative environment with colleagues from all over the world (Engineering offices in Europe, Asia and the US), including various social events and teambuilding. - Flexibility to manage your workday and tasks with autonomy. - A balance of structure and autonomy to tackle your daily tasks. - Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. - Global Employee Assistance Programme. - Calm and Reulay apps (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). - Online training videos. - Flexible working hours. While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together. Certain exemptions may apply depending on location — your local point of contact can provide further details. Our recruitment process: - Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations. - Technical Interview: Meet with the Technical team to discuss your background and experience and assess team fit. - Onsite Interview: Meet with the local team and take a tour of our office for a final meet-and-greet. - Final Steps: Receive feedback and, if successful, an offer! https://smrtr.io/C97Ln
• izvaja naloge, ki mu jih določi vodja skladišča in logistike; • skrbi za čistočo in urejenost skladišč – materiala, polizdelkov in končnih izdelkov; • spremlja zaloge repro materiala, v odsotnosti vodje dodelave in nabave; • na podlagi DN izdaja material iz skladišča; • vrši vhodno kontrolo pri prevzemu materiala in skupaj s službo kontrole vrši reklamacije dobaviteljem v odsotnosti vodje dodelave in nabave; • skrbi za shranjevanje in odvažanje odpadnega papirja; • skrbi za urejenost okolja podjetja; • izvaja druga dela in naloge po nalogu neposrednega vodje oz. direktorja. Delodajalec želi tudi napotovanje kandidatov iz evidenc zavoda
Prevzem in kontrola blaga ob dostavi. Priprava blaga na odpremo in izvedba odpreme. Skrb za red, preglednost in organizacijo skladišča. Spremljanje stanja zalog. Sodelovanje z nabavo in logistiko pri planiranju dostav in odprem blaga. Skrb za delovno opremo (viličarji) in službeno vozilo. Občasna nabava drobnega materiala za potrebe skladišča. Vodenje skladiščne dokumentacije in skrb za njeno pravilnost. Ostala dela po navodilu nadrejenega.
Objavljeno pred: 4 tedne
MDM podjetje za proizvodnjo, trgovino in inženiring d.o.o., LJUBLJANA - ČRNUČE
• Kakovostno in količinsko prevzemanje ter izdajanje blaga, • skladiščenje, razkladanje, nakladanje in razvažanje blaga s transportnimi sredstvi, • embaliranje in opremljanje embalaže, • vodenje in vzdrževanje potrebnih evidenc, zapisov ter poročil.
Objavljeno pred: 3 tedne
MIX, PODJETJE ZA TRGOVINO Z GRADBENIM IN INSTALACIJSKIM MATERIALOM IN PREVOZNE STORITVE d.o.o., LJUBLJANA
Sprejemanje in izdajanje blaga, nalaganje blaga na vozila, urejanje skladišča ter komunikacija s strankami. Delodajalec želi tudi napotovanje kandidatov iz evidenc zavoda
Objavljeno pred: 2 tedna
MARTIN TRGOVINA IN STORITVE V GRADBENIŠTVU, d.o.o., ŽALEC
Prevzem in izdaja blaga delodajalec želi tudi napotovanje kandidatov iz evidenc zavoda
Objavljeno pred: 2 tedna
JAVNO PODJETJE LJUBLJANSKI POTNIŠKI PROMET, d.o.o., LJUBLJANA
Vožnja drugih vozil s katerimi družba izvaja dejavnost, Opravljanje preventivnih pregledov vozil, Posredovanje informacij potnikom oz. STRANKAM, Urejanje delovnega okolja, Vodenje evidenc, Izvajanje drugih nalog s področja dela
Objavljeno pred: 6 dni
JAVNO PODJETJE LJUBLJANSKI POTNIŠKI PROMET, d.o.o., LJUBLJANA
Vožnja avtobusa in drugih vozil s katerimi družba izvaja dejavnost opravljanje preventivnih pregledov vozil posredovanje informacij potnikom oz. Strankam urejanje delovnega okolja vodenje evidenc izvajanje drugih nalog s področja dela Veljavna koda 95, voznikova kartica, potrdilo o nekaznovanosti in potrdilo o kazenskih točkah.
Objavljeno pred: 3 mesece
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