Nordic Investin is recruiting a Lead Data Architect on behalf of one of our partner companies. You can create a coherent data direction without pretending every domain should use the same model, platform or pace of change. The partner is reshaping how data is owned, shared and used across products and analytics. You will define architecture principles, guide platform choices and help domains establish data products with clear responsibility. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. This is a leadership role with hands on responsibility for direction, decisions and the capability of others. You will create enough structure for teams to move independently, while stepping into detail when risk or ambiguity demands it. The partner wants visible ownership without unnecessary hierarchy. What you will do Define target data architecture and staged transition plans. Clarify ownership, contracts and interoperability across domains. Guide warehouse, lakehouse, streaming and operational data patterns. Embed governance, privacy and lifecycle requirements in designs. Review major initiatives and resolve cross team dependencies. Communicate investment choices to technical and executive audiences. What you will bring Extensive data engineering or architecture experience. Strong knowledge of modelling, integration and cloud data platforms. Experience designing across analytics and operational use cases. Understanding of governance, privacy and security. Ability to influence distributed teams without centralising every decision. Professional English and strong visual and written communication. Experience that would add value Data mesh or federated governance in practice. AI platform architecture. Large migration or merger integration experience. A background that can succeed here You may have led data platforms, enterprise architecture or complex transformation programmes. The partner needs someone who can connect strategic decisions with the pipelines, models and accountabilities required to make them real. What makes the opportunity interesting The role offers organisation wide influence and access to consequential investment decisions. You will help create a data environment that can support current reporting needs and the next generation of intelligent products. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

One of Nordic Investin’s partner companies is looking for an MLOps Platform Engineer, with Nordic Investin leading the recruitment process. You want data scientists to experiment freely while production models remain reproducible, observable and governable. The partner is scaling machine learning across several teams and needs a common platform for training, deployment and monitoring. You will build the paved paths that connect experiments with reliable services. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work. What you will do Create reusable training and inference infrastructure. Automate model packaging, validation and deployment. Build feature, registry and experiment tracking integrations. Implement monitoring for data and model behaviour. Manage compute, access and cost controls. Support teams adopting the platform through examples and documentation. What you will bring Production platform, DevOps or machine learning engineering experience. Strong Python and cloud infrastructure knowledge. Containers, Kubernetes and CI CD. Experience with ML lifecycle tools such as MLflow or managed cloud services. Infrastructure as code and observability skills. Ability to design for both researchers and operators. Experience that would add value GPU workload orchestration. Feature stores and online inference. Governance in healthcare, finance or public services. A background that can succeed here Your route may be from platform engineering into machine learning or from data science into production systems. We value people who understand both experimentation speed and operational control. What makes the opportunity interesting The partner offers a platform at the point where good foundations will have lasting influence. You will multiply the effectiveness of several ML teams and see your work reflected in faster, safer releases. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

Nordic Investin has been engaged by a partner company to find a Senior Generative AI Engineer. You want to build generative AI systems that are useful because retrieval, evaluation, permissions and workflow design are treated as engineering problems. The partner is developing AI assisted capabilities for knowledge intensive work. You will create production applications around language models, test their behaviour and connect them safely to enterprise data and tools. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work. What you will do Design retrieval augmented generation and agent workflows. Build evaluation suites for quality, safety and regression testing. Integrate models with documents, APIs and business systems. Implement identity, permission and audit controls. Optimise latency, context use and operating cost. Work with domain experts to define useful human review patterns. What you will bring Strong Python and backend engineering experience. Hands on work with language model APIs and orchestration frameworks. Knowledge of embeddings, retrieval and vector search. Experience evaluating nondeterministic systems. Cloud deployment, observability and security awareness. Ability to challenge a use case when a simpler solution is better. Experience that would add value Fine tuning or model hosting. Information retrieval or search engineering. Enterprise knowledge management and document processing. A background that can succeed here You may come from NLP, search, backend engineering, data platforms or applied AI research. The partner is looking for production judgement rather than a collection of demos. What makes the opportunity interesting You will work on high interest technology with the discipline required for lasting value. The role provides direct access to users, complex information problems and room to shape the engineering standards for future AI products. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

On behalf of a partner company, Nordic Investin is looking for a Senior Machine Learning Engineer. You are interested in models that perform after deployment, when data shifts, latency appears and users behave differently than the notebook assumed. The partner is moving machine learning capabilities into core products and workflows. You will develop models and the production systems around them, working with data scientists, platform engineers and product teams. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work. What you will do Build and productionise machine learning models in Python. Design feature, training and inference pipelines. Evaluate models against product and operational requirements. Improve monitoring for quality, drift, latency and cost. Create reproducible experimentation and deployment workflows. Guide technical choices between classical ML, deep learning and simpler rules. What you will bring Strong Python and applied machine learning experience. Evidence of deployed models used in a real product or process. Solid software engineering, testing and API development. Experience with cloud compute, containers and data pipelines. Understanding of model evaluation and monitoring. Ability to explain uncertainty and tradeoffs to non specialists. Experience that would add value NLP, computer vision or geospatial modelling. Spark, Databricks or large scale feature processing. Experience in a regulated decision environment. A background that can succeed here Your background may be software engineering, data science, applied research or quantitative analysis. We care that you can connect model performance with production behaviour and user value. What makes the opportunity interesting This is a role for someone who wants ownership beyond training a model. The partner offers meaningful data, strong engineering collaboration and the opportunity to shape how machine learning becomes a dependable product capability. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

Nordic Investin is recruiting an Analytics Engineer on behalf of one of our partner companies. You enjoy turning messy source data into definitions that people can trust in a dashboard, experiment or board meeting. The partner wants to strengthen the semantic layer between operational systems and business decisions. You will model data, define metrics and work closely with analysts and domain experts to make reporting consistent. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. You will receive meaningful ownership while working with senior colleagues on the most consequential decisions. The partner expects you to deliver independently within a clear area, ask for context early and contribute ideas grounded in what you observe. There is room to deepen your specialism or broaden toward adjacent responsibilities. What you will do Develop transformation models using SQL and dbt. Create reusable metric definitions and dimensional models. Test freshness, completeness and business logic. Document lineage and make assumptions visible. Review dashboard queries and improve performance. Partner with stakeholders to resolve conflicting definitions. What you will bring Strong SQL and experience transforming analytical data. Knowledge of dimensional modelling and warehouse concepts. Experience with dbt or a comparable transformation workflow. Ability to translate business questions into precise data logic. Comfort with Git, testing and code review. Professional English and patient stakeholder communication. Experience that would add value Looker, Power BI, Tableau or another BI platform. Snowflake, BigQuery, Databricks or Redshift. Experience in finance, product analytics or operations. A background that can succeed here You may be a data analyst who moved closer to engineering or a data engineer who enjoys the business meaning of the model. The partner values careful definitions as much as technical elegance. What makes the opportunity interesting You will improve the numbers people use to run the business. The role offers close contact with decision makers, modern analytics tooling and a clear route toward senior analytics engineering or data product ownership. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

One of Nordic Investin’s partner companies is looking for a Senior Data Engineer, with Nordic Investin leading the recruitment process. You want data products to be dependable enough that analysts stop building workarounds around the platform. The partner is developing modern analytics products for a data driven organisation. You will create pipelines, models and services that make complex data accessible while improving quality, lineage and operational ownership. The partner wants data and AI work that can be operated, explained and improved after launch. Provenance, quality, access and evaluation belong in the solution from the beginning. How you will work You will work with engineers, analysts and domain specialists who look at the same information from different angles. The partner expects assumptions, datasets and evaluation methods to be visible. Solutions should be designed for repeatable delivery, monitored use and responsible change after deployment. As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work. What you will do Build batch and streaming data pipelines. Model trusted datasets for analytics and machine learning. Develop APIs and services that expose data products. Improve orchestration, testing and data quality controls. Optimise performance and cost across the platform. Collaborate with analysts, product managers and application engineers. What you will bring Strong Python and SQL in production data environments. Experience with a cloud data platform such as Databricks, Snowflake or BigQuery. Knowledge of orchestration, transformation and data modelling. Experience with CI CD and infrastructure as code for data systems. Understanding of data quality, governance and observability. Professional English and product oriented collaboration. Experience that would add value dbt and modern analytics engineering practices. Kafka or another streaming platform. Experience supporting AI or advanced analytics products. A background that can succeed here Your background may be data warehousing, backend engineering, analytics platforms or large scale ETL. We are interested in engineers who treat datasets as maintained products with owners and users. What makes the opportunity interesting The role covers the full path from raw data to a capability people use. The partner offers significant technical scope and the chance to influence both platform patterns and individual analytics products. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

Nordic Investin has been engaged by a partner company to find a Microsoft Copilot Studio and Power Platform Developer. You want to build enterprise AI and automation that survives contact with real processes, permissions and data. The partner is introducing intelligent agents and low code solutions across internal workflows. You will design Copilot Studio agents, Power Apps and Power Automate flows that integrate safely with Microsoft 365 and enterprise systems. The platform is treated as a service used by engineers and business teams. Success will be measured through safer change, lower operational friction and clearer ownership rather than the number of tools introduced. How you will work The work combines planned platform development with investigation of real production behaviour. You will collaborate with application teams, security and operations, using their feedback to decide what should become a shared service, an automated control or clear documentation. Ownership continues after the first release. You will receive meaningful ownership while working with senior colleagues on the most consequential decisions. The partner expects you to deliver independently within a clear area, ask for context early and contribute ideas grounded in what you observe. There is room to deepen your specialism or broaden toward adjacent responsibilities. What you will do Develop and operate Copilot Studio agents for business processes. Build Power Apps and Power Automate solutions. Model data and permissions in Dataverse. Integrate Microsoft 365, SharePoint, APIs and Azure services. Apply environment, lifecycle and governance standards. Work with users to test behaviour and improve adoption. What you will bring Hands on Power Platform solution delivery. Experience with Copilot Studio or conversational agent development. Good understanding of Dataverse security and solution management. Ability to build connectors and API integrations. Awareness of data protection, identity and enterprise governance. Professional English; Swedish is valuable for user facing work. Experience that would add value Azure Functions or custom connector development. Microsoft 365 administration or SharePoint development. Experience moving prototypes into governed production use. A background that can succeed here You may come from software development, business applications, automation or technical consulting. The right person combines process curiosity with enough engineering depth to recognise when low code needs a coded extension. What makes the opportunity interesting You will work close to users and see solutions adopted quickly. The partner offers a growing platform, visible use cases and the opportunity to set patterns before the organisation scales its agent portfolio. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

On behalf of a partner company, Nordic Investin is looking for an Infrastructure Automation Engineer. You see a repeated manual change as an invitation to design a safer system. The partner is modernising infrastructure management across cloud and on premises environments. You will replace fragile procedures with tested automation and give operations teams clearer, repeatable ways to deliver change. The platform is treated as a service used by engineers and business teams. Success will be measured through safer change, lower operational friction and clearer ownership rather than the number of tools introduced. How you will work The work combines planned platform development with investigation of real production behaviour. You will collaborate with application teams, security and operations, using their feedback to decide what should become a shared service, an automated control or clear documentation. Ownership continues after the first release. You will receive meaningful ownership while working with senior colleagues on the most consequential decisions. The partner expects you to deliver independently within a clear area, ask for context early and contribute ideas grounded in what you observe. There is room to deepen your specialism or broaden toward adjacent responsibilities. What you will do Automate provisioning and configuration using code. Create reusable modules, roles and pipeline workflows. Integrate infrastructure changes with review and testing practices. Improve inventory, secrets and environment consistency. Support Windows and Linux services across hybrid estates. Investigate failures and remove their recurring causes. What you will bring Experience with Terraform, Ansible, PowerShell or Python. Good Windows or Linux administration fundamentals. Understanding of networks, identity and infrastructure services. Experience using Git and automated delivery pipelines. Ability to document and communicate operational change. Professional English and methodical problem solving. Experience that would add value VMware, Nutanix or public cloud platforms. Policy as code and automated compliance. Migration from ticket driven infrastructure processes. A background that can succeed here You may have started in system administration, network operations or software support and moved toward automation. We want someone who understands why the manual process exists before replacing it. What makes the opportunity interesting The partner offers a broad environment and a clear mandate to reduce toil. You will build tools that colleagues use every day and develop deeper skills in platform engineering and infrastructure as code. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

Nordic Investin is recruiting a Senior Observability Platform Engineer on behalf of one of our partner companies. You want logs, metrics and traces to answer engineering questions instead of creating another noisy system to maintain. The partner is building a shared observability capability for workloads across established and new developer platforms. You will design, implement and operate the stack while helping teams adopt useful standards. The platform is treated as a service used by engineers and business teams. Success will be measured through safer change, lower operational friction and clearer ownership rather than the number of tools introduced. How you will work The work combines planned platform development with investigation of real production behaviour. You will collaborate with application teams, security and operations, using their feedback to decide what should become a shared service, an automated control or clear documentation. Ownership continues after the first release. As a senior colleague, you will own substantial outcomes and help others make stronger decisions. You are expected to recognise risk early, communicate it without drama and move work forward with practical alternatives. The role still includes hands on delivery; seniority here means broader judgement, not distance from the work. What you will do Build and operate scalable telemetry collection and storage. Develop OpenTelemetry patterns for applications and infrastructure. Design dashboards, alerting and service health views. Improve cost, retention and cardinality controls. Create self service integrations and practical documentation. Advocate for observability through pairing, examples and incident learning. What you will bring Strong hands on platform or SRE experience. Production knowledge of metrics, logs and distributed tracing. Experience with tools such as Grafana, Prometheus, Loki, Tempo, Elastic or Datadog. Kubernetes and cloud platform knowledge. Software development or advanced automation ability. Confidence working as both builder and developer advocate. Experience that would add value Large multi tenant observability platforms. OpenTelemetry collector development. Experience migrating between monitoring stacks. A background that can succeed here Your background may span SRE, backend engineering, cloud platforms or operations. You understand that observability is a data and product problem as much as a tooling problem. What makes the opportunity interesting The platform is under active development, so your decisions will have immediate influence. The partner needs someone who enjoys implementing the stack, operating it under load and helping other engineers use it well. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.

One of Nordic Investin’s partner companies is looking for a Cloud FinOps Engineer, with Nordic Investin leading the recruitment process. You can read a cloud bill, trace the engineering behaviour behind it and help teams make better choices without blocking delivery. The partner wants stronger control over cloud economics across growing Azure and AWS estates. You will connect cost data with architecture, ownership and product priorities, then turn findings into changes engineers can act on. The platform is treated as a service used by engineers and business teams. Success will be measured through safer change, lower operational friction and clearer ownership rather than the number of tools introduced. How you will work The work combines planned platform development with investigation of real production behaviour. You will collaborate with application teams, security and operations, using their feedback to decide what should become a shared service, an automated control or clear documentation. Ownership continues after the first release. You will receive meaningful ownership while working with senior colleagues on the most consequential decisions. The partner expects you to deliver independently within a clear area, ask for context early and contribute ideas grounded in what you observe. There is room to deepen your specialism or broaden toward adjacent responsibilities. What you will do Build accurate cost allocation and tagging models. Create dashboards for spend, unit economics and forecast variance. Identify idle capacity, inefficient services and commitment opportunities. Work with teams on rightsizing and architecture changes. Establish practical budget, anomaly and accountability processes. Communicate savings opportunities without losing operational context. What you will bring Experience in cloud engineering, FinOps, technology finance or analytics. Good understanding of Azure or AWS pricing and billing. Strong data analysis and visualisation ability. Ability to discuss tradeoffs with engineers and finance teams. Experience defining allocation or showback models. Professional English and careful attention to evidence. Experience that would add value FinOps Foundation certification. Terraform or cloud automation experience. Cost optimisation in Kubernetes or data platforms. A background that can succeed here You may come from engineering and have developed a commercial instinct, or from finance and have built strong cloud fluency. The partner is open to either route if you can connect technical choices with credible numbers. What makes the opportunity interesting This role gives you access to decisions before costs become fixed. You will make cloud investment easier to understand and help teams spend deliberately while preserving the performance and resilience their products require. The exact partner, employment model, compensation, start date and working arrangement will be explained openly during the process. Nordic Investin will make sure you understand the context, expectations and decision path before you are asked to commit significant time. The recruitment conversation During the process, Nordic Investin will focus on concrete decisions you have made: the context you received, the alternatives you considered, the result you observed and what you would change today. You do not need every optional technology if your core experience transfers and you can explain how you would close the gap. How to apply Apply with your CV or LinkedIn profile and a short note describing the most relevant system, product or transformation you have helped deliver. Nordic Investin welcomes candidates with different routes into technology and assesses applicants on relevant capability, judgement and potential.