Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Job Overview Role Summary An experienced Scrum Master/Agile Coach is needed for a consulting assignment within a large organisation undergoing a transformation to improve and coordinate its agile product development. The assignment focuses on supporting the consolidation of four previously separate products and backlogs into one unified product with a clearly prioritised common backlog. You will coach and support 3–4 development teams throughout this transition, helping establish shared ways of working, stronger cross-team collaboration, and effective delivery processes. The role requires a confident agile leader who can drive change pragmatically, create engagement, and enable teams and stakeholders to work toward common product goals. Key Responsibilities Coach and facilitate 3–4 agile development teams in their day-to-day delivery and continuous improvement work. Support the transition from separate products and backlogs to a unified product and prioritised common backlog. Develop, implement, and continuously improve shared agile processes and ways of working across teams. Facilitate Scrum ceremonies and ensure they provide clear value for teams and stakeholders. Identify, visualise, and help manage dependencies between teams, product areas, and deliveries. Strengthen collaboration and alignment among development teams working toward the same product objectives. Collaborate closely with Product Managers, Product Owners, and business stakeholders to monitor delivery flow and prioritisation. Drive data-informed improvement initiatives focused on capacity, delivery predictability, and operational efficiency. Use flow-based metrics, including Throughput, Work in Progress (WIP), Lead Time, and Cycle Time, to support improvement efforts. Technical Stack & Requirements Deep practical knowledge of Scrum, Kanban, and agile ways of working. Hands-on experience using Jira for backlog management, sprint planning, and capacity planning. Experience with agile transformation and organisational change management. Knowledge of scaled agile frameworks such as SAFe, LeSS, or Nexus is advantageous. Experience facilitating work across multiple teams delivering toward a shared product and common backlog. Ability to use delivery-flow data and relevant metrics to identify bottlenecks and drive measurable improvements. Qualifications & Experience The ideal consultant has at least 8 years of experience as a Scrum Master in large organisations. You have documented experience coaching and facilitating 3–4 agile teams in parallel, coordinating teams working toward a shared product or backlog, and leading agile transformation initiatives. Experience consolidating multiple backlogs into one common backlog is desirable. You are structured, pragmatic, and solution-oriented, with the ability to create engagement and effective collaboration across teams and stakeholders. Professional fluency in both Swedish and English, written and spoken, is required.

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Job Overview Role Summary We are seeking a PLC / Automation Engineer for a consulting assignment focused on controller development, HMI solutions, industrial automation, and AGV implementation. The role involves developing PLC-based control systems aligned with project requirements, supporting machine integration, and contributing throughout testing, commissioning, and production start-up activities. Key Responsibilities Design and develop PLC-based control systems in accordance with project requirements. Develop, maintain, and improve HMI terminals and operator interfaces. Participate in system testing, commissioning, troubleshooting, and project start-up activities. Manage machine interfaces related to machine procurement and integration. Program and implement AGV solutions within the automation environment. Contribute to high-level system architecture, strategic planning, and system design. Collaborate with cross-functional stakeholders and maintain clear technical documentation. Support testing activities that may occasionally require evening or weekend work. Technical Stack & Requirements PLC programming and PLC-based control systems. HMI design, development, and programming. SCADA systems. AGV programming and implementation. Industrial automation and machine interfaces. High-level architecture, strategic planning, and system design. TCP/IP networking. Experience with vision systems is advantageous. Qualifications & Experience The ideal candidate holds a degree in Mechanical Engineering, Automation, Robotics, Electrical Engineering, or a related discipline. Several years of practical experience working with PLC solutions is required, together with experience in HMI design and programming and knowledge of SCADA systems. Candidates should have a solid understanding of TCP/IP networks and be comfortable contributing to architecture and system-design discussions. Experience with vision systems is considered advantageous. Strong English communication skills are required; Swedish language skills are beneficial.

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Job Overview Role Summary An experienced Linux System Administrator is needed for a consulting assignment focused on designing, building, and maintaining a GPU-enabled Virtual Desktop Infrastructure (VDI) environment. The platform supports remote graphical workloads for high-performance computing (HPC), including simulation, visualization, and rendering use cases. It is built on Rocky Linux and Red Hat Enterprise Linux (RHEL), using X11 and desktop environments such as Xfce4 to provide high-performance remote sessions. The assignment involves platform engineering, automation, architecture, and operational ownership for a scalable, secure, and sustainable Linux-based remote desktop environment. The platform leverages NICE DCV, EnginFrame, and SLURM to deliver GPU-accelerated remote access and workload capabilities. Key Responsibilities Design, deploy, operate, and continuously improve a Linux-based GPU-enabled VDI platform. Build and maintain automation and Infrastructure-as-Code to enable consistent, repeatable deployments and configuration management. Develop automation primarily using Ansible and maintain supporting scripts for platform administration and operational workflows. Ensure platform stability, performance, security, scalability, and long-term maintainability in a GPU-accelerated environment. Collaborate closely with HPC and infrastructure engineering teams on platform design, integration, and operational requirements. Document architecture, configurations, deployment workflows, and operational procedures to support a governed and sustainable environment. Contribute to monitoring and observability capabilities for the infrastructure and remote desktop services. Technical Stack & Requirements Linux administration, with strong experience in Rocky Linux and/or Red Hat Enterprise Linux (RHEL). Infrastructure automation and Infrastructure-as-Code using Ansible or comparable tools. Scripting skills, primarily in Bash; Python experience is advantageous. Version control and CI/CD tooling, including Git and GitLab. Linux graphical technologies, including X11, Xfce4, GNOME, and remote rendering or display protocols. Remote visualization and VDI technologies such as NICE DCV, EnginFrame/EF Portal, Open OnDemand, or similar platforms. HPC environments and workload scheduling with SLURM are advantageous. Networking, security, and monitoring/observability tooling; Prometheus-based observability is preferred. Container technologies such as Docker and Podman are beneficial. Qualifications & Experience The ideal candidate has solid hands-on experience as a Linux System Administrator and is comfortable taking ownership of complex infrastructure environments independently. Strong automation and architectural capabilities are required, with the ability to design systems that remain scalable and maintainable over time. Experience working with HPC environments, GPU-enabled workloads, and remote graphical application delivery is highly advantageous.

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Job Overview Role Summary An experienced Data Engineer is required for a consulting assignment focused on building robust, scalable, and high-quality data flows within a modern data platform. The role is responsible for developing and maintaining pipelines for data ingestion, storage, and processing, ensuring strong performance, data quality, and availability for analytics and decision support. You will contribute to data modelling, transformation, code structure, documentation, and data architecture best practices. The assignment involves close collaboration with business stakeholders, development teams, source-system owners, and data and information architects, with significant individual responsibility for technical delivery. Key Responsibilities Develop, maintain, and optimise data pipelines for data ingestion, storage, transformation, and processing. Ensure data platform performance, reliability, accessibility, and high data quality for analytical and decision-support use cases. Design and implement data models and transformations for a modern data warehouse environment. Optimise BigQuery workloads and data pipelines. Apply best practices for code structure, technical documentation, and data architecture. Collaborate with business representatives, engineering teams, source-system owners, and data and information architects. Contribute independently to technical decisions, structure, and delivery progress in an evolving environment. Technical Stack & Requirements Strong experience with Jinja SQL and dbt. Strong experience with Terraform for infrastructure provisioning and management. Experience with Google Cloud Platform (GCP), including BigQuery, Cloud Functions, Dataflow, Cloud Run, and Cloud Build. Experience with GitHub and CI/CD practices. Experience with Kafka or an equivalent event-streaming platform. Good understanding of Data Warehousing, data modelling, and the Kimball methodology. Experience with BigQuery and data-pipeline optimisation. Experience with Python, platform administration, IAM, and AI-assisted development tools such as GitHub Copilot or Claude is advantageous. Qualifications & Experience The ideal candidate has substantial hands-on experience as a Data Engineer, particularly in SQL-based transformation workflows, dbt, Terraform, and GCP-based data platforms. Fluency in spoken and written English is required. Fluency in Swedish is advantageous. The candidate should be comfortable taking ownership in situations where requirements may be unclear, balancing technical detail with a broader architectural perspective, and collaborating effectively across technical and business stakeholders.

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Job Overview Role Summary An experienced Senior Data Engineer is needed for a consulting assignment focused on developing and enhancing a modern data platform. The platform is built using Snowflake, Azure, dbt, and Python and is delivered through Agile ways of working. The role involves building robust Data Warehouse solutions, data transformations, and information flows while ensuring high standards of performance, scalability, and operational reliability. Key Responsibilities Develop, maintain, and enhance Data Warehouse components within a modern cloud-based data platform. Design and implement data transformations, data pipelines, and reliable information flows. Contribute to solution quality, with emphasis on performance, scalability, and operational stability. Automate engineering workflows and contribute to CI/CD pipeline implementation and maintenance. Provide technical leadership and support the team's technical development. Share knowledge and contribute to continuous improvement of engineering practices and team capabilities. Collaborate with colleagues in an Agile delivery environment. Technical Stack & Requirements Strong experience with Data Warehouse development and backend-oriented data engineering. Hands-on experience with Snowflake and cloud-based data solutions. Advanced SQL skills for data modelling, transformation, and warehouse development. Experience building and maintaining CI/CD pipelines and automation workflows. Experience with Azure-based data services is advantageous, including Azure Data Lake and Azure Data Factory. Experience with Python and dbt is advantageous. Knowledge of Data Vault modelling and SAFe is considered beneficial. Qualifications & Experience The ideal candidate has at least 6 years of experience in Data Warehouse development, including substantial backend and SQL development experience. Proven experience with Snowflake, cloud-based data platforms, and CI/CD pipelines is required. Experience from the insurance, banking, or wider financial services sector is advantageous. The consultant should be pragmatic, structured, proactive, and interested in modern technologies and engineering practices, with the ability to support colleagues and drive technical work forward.

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Job Overview Role Summary An experienced AI Software Engineer is needed to join a data platform team focused on semantic modelling, large language models (LLMs), and unstructured data. In this hands-on engineering assignment, you will help extend a governed semantic layer spanning both structured warehouse data and document-based information. The role focuses on building reliable AI-powered data capabilities with traceability, permission-aware retrieval, and production-quality implementation. Key Responsibilities Extend and maintain a governed semantic layer across structured and unstructured data sources. Design and build LLM-based agents that combine data warehouse information with document-derived knowledge. Develop pipelines for document parsing, information extraction, entity extraction, and entity resolution. Create retrieval solutions that preserve source traceability and respect access permissions. Implement and evaluate embedding-based retrieval approaches, including Retrieval-Augmented Generation (RAG) solutions. Assess and improve the quality, accuracy, and reliability of extraction and retrieval methods. Develop, test, and operate robust production systems using well-tested code. Technical Stack & Requirements Strong development skills in Python and/or TypeScript. Practical experience with LLM-based solutions, including agents and Retrieval-Augmented Generation (RAG). Experience with unstructured-data processing, including document parsing, information extraction, entity resolution, embeddings, and retrieval. Strong SQL skills and understanding of relational data models and data warehouses. Experience with semantic modelling or semantic layers, such as dbt Semantic Layer or Malloy, is advantageous. Knowledge of ontologies or knowledge graphs is advantageous. Experience with Google Cloud Platform, Snowflake, or data governance practices is advantageous. Qualifications & Experience The ideal candidate has at least 5 years of experience building and operating production systems with a strong focus on code quality and testing. A degree in Computer Science, Data Science, Mathematics, or equivalent practical experience is required. Experience working with semantic data models, knowledge graphs, cloud data platforms, and governed data environments is considered beneficial.

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Job Overview Assignment Description We are looking for two senior consultants in system testing, verification, and quality assurance for an assignment within Surface Automation. You will join a newly established cross-functional test team responsible for strengthening quality assurance across complex software-based systems. The focus is on verifying quality across product and system boundaries while developing sustainable testing processes and practices. What You Will Work On Analyse system requirements to ensure they are clear, verifiable, and testable. Design, document, and execute test cases based on system requirements. Perform verification at multiple levels, including integration, system, and fleet testing. Identify critical customer scenarios, quality risks, and system dependencies. Analyse test results, document findings, and communicate issues clearly. Collaborate closely with development teams and other technical stakeholders. Contribute to improving test processes, quality assurance practices, and verification methods. What You Bring Senior-level experience in system testing and software verification. Strong expertise in requirements analysis, test design, and hands-on test execution. Experience testing complex systems and integrations. Ability to analyse and document test results and communicate findings effectively. Structured, analytical, and solution-oriented working style. Strong collaboration skills and attention to product quality. Availability to work onsite in Örebro five days per week, with access to test laboratories. Meritorious Experience with fleet-level testing and verification. Experience working in cross-functional engineering teams. Experience developing and improving long-term test processes for complex systems.

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Job Overview Assignment Description We are looking for a Senior Data Engineer to develop and enhance a modern, scalable data platform supporting HR and People Analytics. The role focuses on data integration, advanced data modelling, data quality, governance, and analytics. You will build reliable data pipelines and reusable, quality-assured datasets that support reporting, advanced analysis, and self-service analytics while ensuring data security and GDPR compliance. What You Will Work On Design and develop dimensional and semantic data models, including star schemas and Slowly Changing Dimensions (SCD). Build and maintain Bronze, Silver, and Gold data layers. Develop and optimise ETL/ELT pipelines using Databricks, Azure Data Factory, SQL, Python, and PySpark. Work with Delta Lake, Lakeflow, and Unity Catalog. Implement automated testing, data validation, profiling, and quality monitoring. Optimise pipeline performance, incremental processing, and storage costs. Implement data governance, access controls, and GDPR-compliant data protection. Create reusable, version-controlled datasets with clear definitions, documentation, and traceability. Translate business requirements into robust technical solutions in collaboration with stakeholders and development teams. Collaborate with Power BI developers to optimise analytical models. Contribute to CI/CD, release management, incident management, and technical documentation. What You Bring Extensive hands-on experience with Databricks Lakehouse, Delta Lake, Lakeflow, and Unity Catalog. Strong experience with Azure Data Factory, SQL, Python/PySpark, and large-scale data pipelines. Expertise in dimensional and semantic data modelling, including SCD, role-playing dimensions, and calculation groups. Experience modelling HR and business data from Workday, Peakon, or equivalent HCM, employee experience, or financial systems. Experience with automated testing, data validation, data profiling, and data quality monitoring. Knowledge of row-level and column-level security, personal data protection, data retention policies, and GDPR controls. Ability to translate business requirements into scalable technical solutions. Strong analytical, communication, and stakeholder collaboration skills.

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Job Overview Assignment Description We are looking for an experienced Embedded Software Engineer to develop software for an embedded Linux-based platform that uses sensor data to monitor, control, and stabilise dynamic systems. You will work across the embedded software stack, from low-level platform integration to sensor data processing and control algorithm implementation. The role is ideal for an engineer who understands how software interacts with hardware, sensors, electronics, and real-world physical systems. What You Will Work On Develop embedded software using C and C++. Integrate and develop software for embedded Linux platforms, including Yocto-based systems. Work with embedded SoCs and chipsets, particularly Qualcomm platforms where relevant. Process sensor data from IMUs, accelerometers, gyroscopes, positioning systems, and similar devices. Implement and tune control algorithms, including PID controllers and feedback loops. Develop signal processing, filtering, and sensor fusion solutions. Perform hardware-level debugging and troubleshoot software-hardware integration issues. Collaborate across software, electronics, and system engineering teams. Improve system stability, performance, and reliability. What You Bring Strong experience in embedded software development using C/C++. Experience with embedded Linux and preferably Yocto. Experience developing software for embedded SoCs or chipsets. Understanding of sensor integration and sensor data processing. Knowledge of control systems, feedback loops, or stabilisation techniques. Experience with hardware-near development, debugging, and troubleshooting. Ability to understand interactions between software, hardware, and physical systems. Meritorious Experience with Qualcomm platforms. Background in robotics or autonomous systems. Experience in automotive, marine, or other moving-platform applications. Knowledge of motion control, stabilisation, IMU-based systems, sensor fusion, or navigation. Experience with signal processing and filtering techniques.

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry. Job Overview Assignment Description We are looking for a senior Technical Data Steward to strengthen master data management and improve the structure, quality, and reliability of data across a complex IT environment. You will work at the intersection of business and IT, translating business requirements into scalable and sustainable data solutions. The role combines technical data expertise with business understanding, requiring close collaboration with stakeholders, development teams, and architects. What You Will Work On Drive master data initiatives from business requirements through to technical solutions. Develop and maintain an overview of data objects, data models, relationships, and integrations. Map and analyse how master data is created, updated, distributed, and consumed across multiple systems. Perform impact and dependency analyses for changes to data, systems, and business processes. Identify root causes of data structure and quality issues and drive improvements. Ensure data solutions follow established standards, principles, and architecture. Provide technical data guidance to projects and development initiatives. Coordinate prioritised master data activities with business stakeholders, development teams, and architects. Support sustainable data structures that improve data quality and reduce technical debt. Enable effective use and development of master data across systems and organisational boundaries. What You Bring Several years of experience implementing IT solutions for master data or data management. Proven experience in data modelling and information structures. Experience with integrations and cross-system data flows. Ability to perform impact and dependency analyses related to data changes. Experience translating business requirements into technically sustainable solutions. Strong understanding of complex system landscapes with multiple data producers and consumers. Experience independently driving complex issues with business stakeholders, development teams, and architects. Ability to interpret data models, information models, and technical integration documentation. Fluent Swedish and English, spoken and written. Strong analytical, communication, coordination, and problem-solving skills. Meritorious Master data experience in retail, logistics, supply chain, or similar industries. SQL experience or equivalent tools for data analysis and validation. Experience with Master Data Management (MDM) solutions. Experience with data quality management and root cause analysis. Knowledge of GS1 standards and information models. Experience working in large organisations with complex systems, numerous integrations, and organisational dependencies.