Sökresultat för "Manual Labor"

Är du ute efter ett extraarbete vid sidan av dina studier vill jobba extra på en av Sveriges största terminaler under terminerna och sommar? Trivs du med att arbeta med kroppen och i högt tempo? Då har vi tjänsten för dig! Just nu söker vi efter studenter som är ute efter ett spännande extrajobb. Arbetet är inom en av Sveriges största terminaler och ligger i Arlöv. Arbetsuppgifter: Vanliga arbetsuppgifter kommer mesta dels bestå utav att hantera och sortera både gods och paket. Utöver dessa arbetsuppgifter kan det även förekomma administrativa arbetsuppgifter i form av registrering och scanning i kundens system. Arbetstiderna kommer vara förlagda på vardagskvällar; 17.00-22.00. Vi ser att du ska kunna jobba MINST 3 kvällar i veckan för att vara aktuell till tjänsten. DETTA SÖKER VI Krav: - Att du är studerande på minst 50% på en CSN-berättigad utbildning i minst 1,5 år framöver.  - Trivs i ett fysiskt påfrestande och monotont arbete - Kan jobba minst 3 vardagskvällar i veckan Vi ser gärna att du som söker tidigare har jobbat som terminalarbete eller på ett lager. Det är inget krav men vi ser det som ett plus. Som person är du någon som trivs med att arbeta med kroppen och att du gillar att arbeta i högt tempo. Vi ser gärna att du har en positiv inställning och att du kan arbeta bra både i grupp men även självständigt. Arbetet ställer även krav på stresstålighet och att du är motiverad till att jobba snabbt och effektivt. Du är noggrann, flexibel och trivs att jobba i ett härligt arbetslag! Avdelningen som du kommer arbeta på är säkerhetsklassad vilket innebär att du kommer genomgå en säkerhetsprövning i och med en anställning. Det innebär att du ska kunna redogöra för vad du har gjort de senaste 5 åren samt ha ett tillhörande intyg på dina sysselsättningar (t.ex. arbetsgivarintyg eller studieintyg.) under dessa år. Du kommer även genomgå en säkerhetsprövningsintervju samt en bakgrundskontroll som utförs av transportstyrelsen. Du kommer att vara anställd av StudentConsulting och uthyrd till vår kund. Låter detta som en tjänst för dig? Sök redan idag då vi rekryterar löpande

About Terranova Backed by leading climate and American dynamism investors, Terranova builds intelligent robotic systems to terraform the Earth itself - lifting land, restoring wetlands, and protecting critical infrastructure from floods and sea-level rise. Our mission is to preserve the built environment, create new habitats, and usher in an era of abundance. Our work supports climate resilience, disaster recovery, and defense across the United States and beyond. We’re assembling a world-class team that wants to work on something real, physical, and civilization-scale. If you want your work to reshape the world (literally), this is the place to do it. Forward Deployed Operator Terranova is hiring a Forward Deployed Operator to help deploy, operate, and improve our robotic land elevation systems in the field. This is a hands-on, field-heavy role for someone who can run machines, fix equipment, work outside, and solve weird, difficult problems in real time. You will work either a Thursday-Monday or Friday-Tuesday schedule. Weekend work is part of the job. A sixth day will be required in rare weeks where you were not deployed to the field for most of the week. Most days, you will be on site preparing for injections, operating robots, running support equipment, troubleshooting failures, and helping the team execute field work safely and quickly. The role will include moving heavy materials and equipment, some manual labor, and operating or supporting traditional field machinery such as loaders, forklifts, skid steers, trailers, pumps, generators, and other site equipment. You will work closely with mechanical engineers, embedded systems engineers, and senior forward deployed engineers to test new hardware, improve field procedures, suggest changes to robots, and make the system more reliable every week. You will also help improve our autopilot system by giving strong field feedback on robot behavior, sensors, controls, operator workflows, failure modes, and what needs to change for real deployments. A lot of the job involves tricky physical and mechanical work where the right answer is not obvious, the equipment is heavy, the environment is imperfect, and mistakes can damage equipment or create safety risks. We need someone who can think clearly, communicate well, and do hard things safely while still moving fast. Responsibilities * Deploy and operate Terranova’s field robots, injection systems, pumps, sensors, and support equipment * Operate or support traditional field equipment and heavy machinery * Prepare field sites for injection work, including setup, staging, surveying support, material handling, and cleanup * Move heavy equipment, materials, hoses, tools, and parts safely and efficiently * Diagnose and repair mechanical, hydraulic, electrical, controls, and field equipment issues * Test new hardware, tools, procedures, robot upgrades, and autonomy features with the engineering team * Help improve Terranova’s autopilot system by identifying field gaps, testing changes, and giving clear feedback to senior forward deployed engineers and embedded systems engineers * Support drilling, pumping, sensing, injection sequencing, and field data collection * Document work clearly, including equipment issues, repairs, test results, site conditions, field procedures, and lessons learned * Identify failure modes and suggest practical changes to robots, equipment, software, and field processes * Work through hard, ambiguous problems using first-principles thinking, including underground flow, pressure, injection behavior, soil response, and equipment performance * Maintain a high standard for safety, urgency, and quality in the field What we’re looking for We are looking for someone who is mechanically sharp, reliable, physically capable, and calm under pressure. You should like fixing things, operating equipment, working outside, and figuring out problems where there is no manual. You do not need a college degree, but you should have strong technical judgment and a track record of building, repairing, operating, or improving real systems. Experience with robotics, controls, mechanical systems, electrical systems, pumps, hydraulics, engines, construction equipment, vehicles, heavy machinery, field operations, or industrial equipment is valuable. A background in mechanical engineering, electrical engineering, embedded systems, robotics, or controls is a strong plus. This is a great fit for someone who wants to operate real machines, solve hard field problems, and help turn a new robotic construction technology into a reliable deployed system. Requirements * U.S. permanent residency.

Gnothis AB is seeking for a skilled Software Engineer who enjoys building experimental systems in a laboratory environment. This is a permanent position based at our HQ, located at the campus of Stockholm University (Stockholm, Sweden). Gnothis, founded in 2015 and supported by highly innovative industrial professionals and technology developers, is on a mission to develop a new frontier for single molecule DNA sequencing; to break the mold on how sequencing is used as a clinical tool for the diagnosis of complex diseases. Gnothis technology integrates a wide range of cutting-edge sciences ranging from nanotechnology, photophysics, optics, surface chemistry, biochemistry and computational science. Our instrumentation, software and analysis team currently consists of four engineers and we are now expanding the team as we scale development of the system. We are seeking for an engineer with strong data analysis and scientific programming experience to develop our DNA sequencing data analysis pipeline. The role combines algorithm development, image analysis, and scientific data exploration, working closely with our instrumentation and biochemistry teams. The work involves analyzing experimental data from our microscopy-based sequencing platform and developing the automated analysis pipeline that converts raw microscopy data into DNA sequencing results. The position is part of a multidisciplinary team developing a prototype DNA sequencing instrument combining microscopy, microfluidics, nanofabrication and advanced data analysis. Initial Project The initial assignment will be to continuously analyze the latest experimental data from the lab in close collaboration with the biochemistry and instrument teams. This means developing new analysis algorithms, critically reviewing results together with the team, and driving experiment design to better address the research questions. The work includes analyzing fluorescence microscopy data, developing algorithms for tasks such as peak detection and classification, and translating manual analysis workflows into automated pipelines using Python and Airflow. We are seeking for the right candidate who can make confident decisions based on previous experiences connected to laboratory environments (eg. development of diagnostic software tools and/or processing of fluorescence microscopy raw data). Responsibilities Develop algorithms and analysis methods for microscopy-based sequencing data Implement automated analysis pipelines in Python and Airflow Perform exploratory analysis of experimental datasets and extract meaningful insights Collaborate closely with instrumentation and biochemistry teams to interpret results and improve experiments Develop tools for data visualization, evaluation and reporting Contribute to building a robust and scalable DNA sequencing analysis workflow. Candidate Profile For you to enjoy performing expected activities, and being a valuable member in an ambitious and innovative team; we think you are an engineer or scientist with strong experience in scientific programming and data analysis. This role suits someone who enjoys working deeply with experimental datasets and extracting insight through algorithm development, statistical analysis and careful data interpretation. The candidate should be comfortable working independently with complex datasets and driving the development of analysis methods in collaboration with a small multidisciplinary team. Relevant backgrounds and skills include: Master of Science and/or Ph.D educational background – ideally combined with a relevant Life Science focus. Python programming for scientific computing Image analysis and signal processing Microscopy or fluorescence imaging data Statistics and experimental data analysis Scientific visualization and reporting DNA sequencing or genomics data A PhD with strong experience in microscopy data, sequencing data, or similar experimental datasets is highly preferred. Gnothis offer a creative environment focused on technology and product development, a competitive compensation package and plenty of room for self-development as the company expands. This is a permanent position (not consultant assignment). If above sounds like an exciting opportunity and you would like to hear more, do not hesitate and submit your application and we will get back to you! Gnothis AB on LinkedIn: https://www.linkedin.com/company/gnothis/posts/?feedView=all For inquires please email us at: markus.dahl@valleyrecruitment.se

The Data Engineer role exists to ensure that all test‑lab data is trustworthy, accessible, scalable, and usable for engineering, validation, analytics, and decision‑making. The function provides the technical backbone that enables reliable testing, advanced analysis, automation, and long‑term product improvement. The Data Engineer is responsible for designing and operating the data infrastructure that supports all laboratory test activities. This includes connecting test equipment, building pipelines for high‑frequency and large‑volume datasets, ensuring data quality, and enabling engineers, analysts, and scientists to work efficiently with accurate data. As the laboratory and organization expand, the role will evolve into a leadership function that guides the long‑term data strategy and leads a multidisciplinary data team. Key Responsibilities Key responsibilities include (but are not limited to) Design, build, and maintain data pipelines for high‑frequency lab data Integrate test equipment such as battery cyclers (Chroma, Keysight, PEC, PNE), chambers, DAQ systems, and PLCs Develop ETL/ELT processes to transform raw → validated → curated datasets Build scalable data storage solutions (data lakes, time-series DBs, structured metadata stores) Implement data validation, anomaly detection, and quality monitoring Automate data processing for reporting, dashboards, and analysis Ensure data traceability, version control, and audit compliance Work closely with test and validation engineers to understand test profiles, metadata, and measurement methods Support lab technicians with tools that simplify workflows and reduce manual data tasks Integrate with MES, LIMS, PLM, and other enterprise systems Troubleshoot data-related issues in test execution or equipment communication Take increasing ownership of data architecture and long‑term data roadmap Contribute to documentation standards, data governance, and best practices Requirements Qualifications and Experience Engineering in technical data role (Data Engineering, Data Science, Machine Learning) including processing, storage, quality, and management on GCP or AWS +4 years of relevant experience Project management experience Experience in large manufacturing or industrial enterprises with heterogeneous, distributed data sources, demonstrating ability to navigate complexity at scale Specific skills & Knowledge Proven experience scaling and re‑architecting data platforms and infrastructure to handle rapid growth and increasing data volumes Hands-on experience designing and building highly scalable and reliable data architectures using modern cloud and data tooling (e.g., AWS Kinesis, Lambda, Redshift, GCP equivalents; Airflow, dbt; Parquet, Protobuf, Avro) Strong programming skills in Python, SQL, and general-purpose scripting for automation, data processing, and integration Deep understanding of ETL/ELT frameworks (Airflow, dbt, Spark, etc.) and experience building production-grade data pipelines Familiarity with time-series and high‑frequency measurement data, particularly from industrial or test environments Cloud engineering experience in AWS, GCP, or Azure, including serverless architectures, distributed storage, and stream processing Experience with CI/CD, Git-based workflows, Docker, and robust software engineering practices Knowledge of data serialization formats (Parquet, Avro, Protobuf, JSON) and best practices for efficient storage and retrieval Experience integrating systems via APIs; familiarity with hardware communication protocols such as REST, OPC-UA, and Modbus is a strong plus Understanding of machine learning concepts and experience supporting data scientists with structured, high-quality datasets Domain knowledge (Preferred) Solid engineering foundation (electrical, mechanical, chemical, physical), preferably within the energy, electrical testing, or battery domain Understanding of sensor calibration, noise, drift, and data validation

Vi på Xamera söker nu en nyfiken och praktiskt lagd högskoleingenjörsstudent inom maskinteknik som vill sommarjobba på ett ledande teknikföretag inom kärnkraftsbranschen. Här får du kombinera meckande i labbmiljö med avancerad testverksamhet på bränsle till kärnreaktorer, tillsammans med ett litet och erfaret team där säkerhet, noggrannhet och problemlösning står i centrum. Om bolaget Bolaget är ett teknikföretag inom kärnkraftsbranschen som arbetar med avancerad provning och utveckling av bränsle till kärnreaktorer. Här kombineras praktiskt ingenjörsarbete i laborativ miljö med hög teknisk kompetens inom mekanik, el och mätteknik. På det termohydrauliska labbet arbetar ett mindre, sammansvetsat team där stort ansvar, säkerhet och långsiktig maskinkännedom står i fokus. Som sommaranställd blir du en del av ett specialistområde där dina insatser bidrar direkt till säkra och effektiva kärnkraftsanläggningar. Om rollen Som sommarjobbare på det termohydrauliska labbet kliver du in i ett team på fem personer som genomför tester och provningar på bränsle till PWR-, BWR- och VVER-reaktorer. Rollen passar dig som vill kombinera praktiskt arbete i labbmiljö med tekniskt tänkande och problemlösning. Du kommer att: Arbeta både praktiskt och teoretiskt som tekniker/ingenjör i labbet Delta i underhåll av utrustning, till exempel pumpar och ventiler Vara delaktig i montage av testobjekt Bidra till konstruktion och anpassning av komponenter till testutrustningen Assistera vid genomförande av tester och provkörningar Utöver det löpande arbetet får du inblick i hur testresultat används vidare, bland annat i beräkningar för bränslet och i utvecklingen av nytt eller förbättrat bränsle. Tjänsten innebär daglig närvaro på plats i labbet. Krav Studerar till högskoleingenjör inom maskinteknik och läser år 2. Har praktisk erfarenhet eller tydligt intresse av mekaniskt arbete (t.ex. meka, skruva, bygga, hobbyprojekt, verkstad, labb eller industri.) Talar och skriver obehindrat på svenska. Har goda kunskaper i engelska. Är noggrann, ansvarstagande och trygg med att följa rutiner och säkerhetskrav. Vem vi tror att du är Vi tror att du trivs när du får arbeta praktiskt, med händerna, nära maskiner och utrustning, men också gillar att förstå vad som händer “under huven”. Du tycker om en labbmiljö där mycket är egenutvecklat och där det inte alltid finns en färdig manual, utan du får klura, prova dig fram och testa olika lösningar när något inte fungerar som tänkt. Du har antingen redan god maskinkännedom eller ett starkt intresse av att bygga upp den över tid, och du ser värdet i att komma ihåg erfarenheter från tidigare körningar och tester. Samtidigt som du gillar det praktiska kan du vid behov ta till dig teknisk dokumentation och teori. Du trivs i ett mindre team där man jobbar nära varandra i vardagen, bidrar till en prestigelös stämning och samarbetar för att lösa problem tillsammans. Praktiska detaljer Plats: Stockholm Anställningsform: Konsultanställning via Xamera under 3 månader. Period: Sommarjobb 2026, huvudsakligen under juni och augusti när ordinarie personal är på plats. I juli är verksamheten till stor del stängd på grund av semester, men om det passar både dig och teamet kan du arbeta någon vecka även då. Närvaro: Tjänsten kräver fysisk närvaro på plats varje arbetsdag. Säkerhet: Säkerhetsprövning genomförs som en del av rekryteringsprocessen. Ansökan: Vi går igenom ansökningar och bokar intervjuer löpande, så skicka gärna in din ansökan så snart som möjligt.

About Optimen Optimen is a certified "Great Place to Work" and a strategic delivery partner for Jeppesen ForeFlight. We specialize in aeronautical technology and resource optimization for the global airline industry. With 19 years of experience, with operations in Mexico, USA and Canada, we operate as an extension of our clients' IT departments. We are entrusted with the configuration, development, and delivery of Jeppesen’s Crew and Fleet Portfolio. Carriers such as Aeromexico, Volaris, LATAM, Avianca and TAP Air Portugal rely on Optimen to solve their most complex operational challenges. We are now establishing a Center of Excellence in Sweden to lead critical implementation projects around the world, bridging the gap between client stakeholders and our engineering hubs. The Role We are recruiting a foundational team of Senior and Expert professionals (6–12+ years of experience) to lead the delivery of Jeppesen Crew Tracking solutions. Operational Transformation through Technology This is more than an implementation role; it is a digital transformation initiative. You will help major airlines modernize their mission-critical operations by replacing legacy, manual processes with advanced optimization technology. Your mandate is to: Leverage Optimization: Configure Jeppesen’s powerful solvers to automate complex decision-making, shifting the client from reactive manual tracking to proactive, data-driven recovery. Engineer Efficiency: Use technology to encode complex labor agreements (CLA) into automated logic, eliminating human error and unlocking tangible cost savings. Connect the Ecosystem: Design robust integration architectures that break down data silos, ensuring the crew system acts as the intelligent digital backbone of the airline’s operation. You will work in a distributed Agile environment, acting as the primary link between European client stakeholders and our engineering teams in Americas. Core Responsibilities 1. Agile Product Ownership & Value Realization Backlog Management: You will own or heavily influence the product backlog. You must translate high-level business goals into well-defined User Stories and Acceptance Criteria for the engineering team. Focus on Business Outcome: You will challenge the client’s assumptions. Instead of simply implementing a rule, you will define the operational value (e.g., "How does this configuration improve operational compliance?", "How does this automation reduce manual intervention?", or "Does this cost function accurately reflect disruption costs?"). Sprint Execution: Participate in and facilitate Agile ceremonies (Sprint Planning, Reviews). You will be responsible for validating that the delivered increments meet the business objectives before they reach the client. 2. Solution Design & Complexity Management Functional Modelling (CLA Rules): Lead the definition of complex logic for Collective Labour Agreements (Union Contracts). You must be able to translate legal texts into functional specifications that determine legality, counters, and compensation. Tracking Optimization: Configure and tune optimization strategies. You will adjust parameters to reflect operational priorities—balancing strict efficiency against robustness during disruption scenarios. Architecture & Integration: Design the end-to-end integration landscape. You will ensure the Crew Tracking solution communicates reliably with the airline’s ecosystem (HR, Flight Ops, Payroll), defining Interface Control Documents (ICDs) and guiding data flow strategy. 3. Collaborative Leadership Distributed Team Lead: Act as the technical and functional anchor for our development teams in Americas. You will ensure requirements are understood, remove blockers, and maintain quality standards across the Atlantic. Stakeholder Advisory: Guide VP-level stakeholders (Flight Ops, IT), SMEs, and Business Function Owners through complex trade-offs. You must be able to distinguish between "must-have" regulatory compliance and "nice-to-have" process preferences to protect the implementation scope. Required Qualifications Experience: More than 6 years of experience in software implementation, solution architecture, or technical business analysis within the aviation sector. Agile Mindset: Proven experience working in Agile/Scrum environments. You must be comfortable managing backlogs, writing user stories, and focusing on iterative value delivery rather than waterfall specifications. Airline Domain Mastery: Deep understanding of Crew Management (Pairing, Rostering, Tracking) or Operations Control (OCC). You must understand the operational mechanics of counters, compensation logic, and disruption management. Consultative Approach: You are not an order taker. You have a proven ability to guide clients through complex operational changes and focus on customer outcomes. Communication: Fluent in English (written and verbal), with the ability to explain complex technical concepts to non-technical business leaders. Preferred Qualifications Jeppesen Ecosystem: Prior experience with Jeppesen products (Crew Tracking, Carmen Systems legacy) or familiarity with the RAVE modeling language is a distinct advantage. Technical Stack: For architecture-focused candidates, proficiency in Python, SQL, and AWS is highly valued. Optimization: Familiarity with Operations Research concepts, solver tuning, or defining penalty/cost functions for automated planning systems. Language Skills: Fluency in Spanish is a strong asset to facilitate collaboration with our engineering centers in Latin America.