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This is not your typical DevOps role. Expect to be hands-on, solving complex infrastructure challenges, and shaping how a modern platform evolves in a hybrid and self-managed ecosystem.

What You'll Be Doing:

-Owning and evolving large-scale Kubernetes clusters in an on-premises environment.
-Driving improvements in platform reliability, scalability, and performance.
-Building automation and backend tooling (primarily in Python).
-Working across Dev, Ops, and Infrastructure in a true platform engineering capacity.
-Contributing to CI/CD pipelines and GitOps workflows.
-Collaborating with cross-functional teams on architecture and platform strategy.

Requirements:

-Deep experience with Kubernetes in self-managed / on-prem environments.
-Strong Linux expertise (this is absolutely key).
-Solid platform engineering / DevOps background.
-Proven ability building automation, tooling, and services in Python.
-Experience with containerisation (Docker) and distributed systems.
-Strong experience with CI/CD and infrastructure as code.
-Familiarity with GitOps approaches (e.g. Argo CD).

Nice to have:

-Exposure to hybrid cloud / AWS environments.
-Experience working in large-scale, high-availability systems.
-Knowledge of backend frameworks (FastAPI, Flask, Django).
-Experience in performance-critical or data-intensive platforms.

DevOps Engineer - Azure & Kubernetes | AI Innovation

Location: Täby, Sweden (Hybrid)

Employment Type: Permanent

Industry: Artificial Intelligence / Technology



Are you a DevOps Engineer who enjoys building scalable cloud infrastructure and enabling engineering teams to deliver secure, high-quality software at speed?



We're partnering with an innovative AI organisation in Täby, Sweden, that is developing cutting-edge solutions at the intersection of artificial intelligence and cloud technology. As part of a strategic partnership with Microsoft, you'll have the opportunity to work with the latest Azure technologies while helping shape the infrastructure behind next-generation AI products.



The Opportunity:

As a DevOps Engineer, you'll play a key role in designing, implementing, and optimising modern cloud environments. You'll work closely with development teams to automate processes, improve delivery pipelines, and ensure the reliability and scalability of critical platforms.



What You'll Be Doing

* Designing, implementing, and maintaining cloud infrastructure within Microsoft Azure.
* Building and managing Infrastructure as Code using Terraform.
* Deploying, operating, and optimising Kubernetes environments, including both AKS, self-managed clusters.
* Enhancing CI/CD pipelines and driving automation initiatives.
* Monitoring, troubleshooting, and improving platform reliability and performance.
* Collaborating with cross-functional teams developing innovative AI products.
* Contributing to best practices around security, scalability, and operational excellence.



What We're Looking For

* Proven experience in a DevOps, Platform, or Cloud Engineering role.
* Strong hands-on experience with Azure.
* Commercial experience using Terraform for IaC.
* Solid knowledge of Kubernetes, including AKS and standalone Kubernetes clusters.
* Experience building and maintaining CI/CD pipelines.
* Strong scripting and automation skills.
* Excellent problem-solving abilities and a collaborative approach.



Desirable Experience

* Exposure to AI or machine learning environments.
* Experience with monitoring and observability tools.
* Knowledge of security best practices within cloud-native environments.
* Microsoft Azure certifications.



What's on Offer

* The chance to work on innovative AI solutions with real-world impact.
* Access to the latest Microsoft technologies through a strategic Microsoft partnership.
* A collaborative, forward-thinking engineering culture.
* Opportunities for professional growth and continuous learning.
* Competitive salary and benefits package.
* Hybrid working in Täby, Sweden.



If you're passionate about cloud infrastructure, automation, and enabling teams to build exceptional products, we'd love to hear from you.

What you'll be doing:

-Designing, developing and maintaining full‑stack web applications.
-Building scalable backend services and APIs.
-Developing responsive, user‑friendly frontend interfaces.
-Collaborating with cross‑functional teams to deliver high‑quality solutions.
-Contributing to technical decisions, code reviews and best practices.

Requirements:

-Strong skills in modern JavaScript/TypeScript frameworks (e.g. React, Vue, Angular, Node.js).
-Solid backend experience (e.g. Node.js, Java, .NET, Python or similar).
-Experience with cloud platforms, databases and RESTful APIs.
-Fluent Swedish is essential, as you'll work with Swedish‑speaking stakeholders.

Nice to have:

-DevOps or CI/CD experience.
-Familiarity with modern UX/UI principles.

As a Senior DevOps Engineer, you will work closely with development teams to ensure platforms and environments fully support product and business needs. You will also play a key role in automation, scripting, and Infrastructure as Code initiatives, helping translate strategic guidelines into practical, production-ready solutions.
This role includes both long-term initiatives and continuous improvement work, where you are expected to proactively identify areas for improvement and drive them forward in line with business goals.

Key Responsibilities

-Ensure stable operation and continuous development of cloud infrastructure
-Collaborate with development teams to streamline build, deployment, and operational processes
-Define, implement, and monitor automated processes for development, testing, release, and support
-Select, implement, and manage CI/CD tools based on business and technical needs
-Continuously improve deployment and operational workflows
-Troubleshoot and resolve infrastructure-related issues
-Take end-to-end responsibility for delivered solutions, with a strong focus on quality, stability, and manageability

Experience & Background

-Mid- to senior-level profile
-7-10 years of documented experience in relevant IT roles
-At least 4 years of hands-on experience as a DevOps Engineer

Technical Competencies

Strong understanding of IT operational processes
-AWS experience (required)
-Experience with serverless services in AWS (advantage)
-Strong experience with Kubernetes and container technologies (e.g. Docker)
-Proven hands-on experience with Terraform
-Linux-based environments (required)
-Very good scripting skills in Python and/or Shell
-Experience with monitoring and logging tools (advantage)
-Basic database knowledge (MySQL / PostgreSQL) (advantage)
-Experience with DevOps methodologies, CI/CD tools, open-source technologies, and cloud services
-Relevant university degree in IT (advantage)
-Certifications in AWS, Kubernetes, Terraform, or similar are considered a plus

Personal Qualities

-Proactive, responsible, and self-driven
-High level of curiosity and independence
-Strong analytical and problem-solving skills, especially in production environments
-Excellent communication skills in English
-Strong collaboration skills and a positive, team-oriented mindset

Senior .NET Systems Engineer / Consultant - SWEDISH SPEAKING



📍 Malmö, Sweden | Consultancy Environment | Microsoft Ecosystem



Our client is looking for a senior .NET consultant who sees technology as a way to solve business problems, not just write code.



This role is suited to someone who enjoys stepping back, understanding the bigger picture, and building scalable solutions across complex Microsoft environments. You'll work closely with clients on integration-heavy projects, cloud-native platforms, and modern backend architectures where communication and problem-solving are just as important as technical capability.



This is not a traditional "pure developer" role.



Our client is looking for someone who combines strong backend engineering experience with a consultant mindset, someone comfortable navigating both technical and business discussions.



What you'll work with:

* Complex backend and systems integration projects
* Cloud-native Microsoft environments
* Modern .NET development
* Solution architecture and technical leadership
* Data-driven platforms and backend ecosystems
* Emerging AI and data engineering initiatives, including Databricks and LLM-related solutions



What we're looking for:

* Senior experience within .NET backend development
* Strong understanding of systems integration and distributed environments
* Experience working within Microsoft-focused ecosystems
* A solution-oriented and consultative mindset
* Ability to understand business requirements and translate them into scalable technical solutions
* Comfortable working closely with clients and stakeholders
* Curiosity around modern cloud, data, and AI technologies



Valuable experience:

* Tech Lead or Solution Architect background
* Cloud-native architecture experience
* Experience with data platforms, Databricks, or data engineering
* Exposure to AI/LLM-related initiatives
* Experience designing systems with a broader data platform mindset



Why this role?

You'll join a consultancy environment where technical depth matters, but where communication, curiosity, and problem-solving matter just as much.



The team is investing heavily in modern data capabilities and building stronger expertise around Databricks, cloud-native architecture, and AI-driven solutions. It's an opportunity to work on technically challenging projects while helping clients navigate increasingly data-driven environments.



If you enjoy solving complex problems, working closely with clients, and building modern backend solutions beyond just "coding", this could be a strong fit.

About the Role

On behalf of our client, we are looking for an experienced Data Architect to lead the design, implementation, and governance of their enterprise data and analytics platform, built on Microsoft Fabric with a strong Databricks background. You will be the technical authority on modern lakehouse architecture spanning data engineering, data warehousing, real-time analytics, and Power BI translating business requirements into scalable, secure, and cost-efficient solutions across the Fabric/Databricks ecosystem.

This is a high-impact role for someone who wants to shape a modern data platform from the ground up, bringing deep lakehouse and Spark expertise to a Fabric-first environment, and mentor teams as they adopt it.

What You'll Do

* Design and own the end-to-end architecture for Microsoft Fabric, including OneLake, Lakehouse, Data Warehouse, Data Factory pipelines, Real-Time Intelligence, and Power BI semantic models.
* Define data platform standards: medallion architecture (bronze/silver/gold), naming conventions, workspace structure, capacity planning, and CI/CD practices.
* Lead migrations from legacy platforms (e.g., Synapse, Azure Data Factory, SSAS, on-prem SQL Server) into Fabric.
* Architect security and governance frameworks - including workspace roles, OneLake data access policies, row-level security, sensitivity labels, and integration with Microsoft Purview.
* Optimize Fabric capacity usage (F-SKUs), monitor performance, and manage cost governance across workspaces.
* Collaborate with data engineers, analysts, and business stakeholders to design scalable data models and pipelines.
* Establish DevOps practices for Fabric (Git integration, deployment pipelines, environment promotion).
* Provide technical leadership, code/design reviews, and mentorship to data engineering and BI teams.
* Stay current with Fabric's evolving feature set and advise on adoption roadmaps.
* Evaluate and architect interoperability between Databricks and Fabric where relevant (e.g., shortcuts to OneLake, Delta Lake compatibility, Unity Catalog vs. Fabric governance models).
* Advise on platform strategy where Databricks workloads (Spark jobs, MLflow, Delta Live Tables) need to coexist with or migrate into a Fabric-centric environment.
* Bring lakehouse design best practices (Delta Lake, Unity Catalog, cluster/job optimization) to inform Fabric architecture decisions.

What We're Looking For

Required:

* 5+ years of experience in data architecture, data engineering, or BI, with hands-on experience across Microsoft Fabric (or Azure Synapse) and Databricks.
* Strong background working within Databricks cluster architecture, Delta Lake, Unity Catalog, Delta Live Tables, MLflow, and job/workflow orchestration.
* Strong knowledge of OneLake, Lakehouse/Warehouse architecture, Dataflows Gen2, Data Pipelines, and Notebooks (PySpark/Spark SQL).
* Deep experience with Power BI, including semantic (Direct Lake) models, DAX, and report/dataset governance.
* Solid understanding of data modeling (dimensional modeling, medallion architecture) across both lakehouse platforms.
* Experience with T-SQL, Python, and PySpark/Spark SQL.
* Familiarity with Azure services: Azure Data Lake Storage, Azure Active Directory (Entra ID), Azure DevOps/GitHub.
* Experience designing for data security, compliance, and governance at enterprise scale (across Unity Catalog and/or Microsoft Purview).
* Strong communication skills able to work with both technical teams and business stakeholders.

Nice to Have:

* Microsoft certifications (e.g., DP-600, DP-700, or Azure Solutions Architect).
* Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Databricks Certified Solutions Architect).
* Experience with Microsoft Purview for data governance and cataloging.
* Background in real-time analytics (Eventstreams, KQL databases, or Databricks Structured Streaming).
* Prior experience leading platform migrations either Databricks-to-Fabric, Fabric-to-Databricks, or hybrid coexistence architectures.

The role:

As a contractor, you'll support the design, development, and deployment of AI/ML solutions that solve real business problems.

Typical responsibilities include:

* Building and deploying machine learning models into production
* Working on LLMs and Generative AI use cases
* Designing scalable AI/ML pipelines and systems
* Collaborating with data teams, engineers, and business stakeholders
* Improving and optimising existing models and solutions

What the client is looking for:

* Strong commercial experience in AI / Machine Learning engineering
* Solid programming skills (Python preferred)
* Experience with frameworks such as PyTorch, TensorFlow, or similar
* Hands-on experience with LLMs / transformer models.
* Experience deploying models into production environments
* Comfortable working independently in a freelance / contract environment
* Strong problem-solving and communication skills

The contract:

* Freelance / contract role
* Based in Stockholm (hybrid setup)
* Competitive day rate depending on experience
* Project with strong extension potential

Why this role:

You'll be working on cutting-edge AI projects with real impact, alongside a strong technical team building and scaling modern AI capabilities.

If you're a freelance AI / ML Engineer open to new opportunities, feel free to get in touch and I can run through the details.

Senior Data Scientist (Freelance)

Location: Malmö, Sweden (Hybrid/Flexible)
Contract Type: Freelance
Rate: 800 SEK per hour
Start Date: ASAP

Help Organisations Turn Data and AI into Measurable Business Value

We are looking for an experienced Senior Data Scientist to support organisations in leveraging data, Machine Learning, and Generative AI to solve complex business challenges and deliver real, measurable outcomes.

This role offers the opportunity to work on a variety of projects, from predictive analytics and machine learning to cutting-edge AI solutions powered by Large Language Models (LLMs). You'll collaborate with stakeholders, engineers, and business leaders to develop solutions that move from concept to production.

Key Responsibilities

* Design, develop, and deploy Machine Learning models
* Analyse large datasets to uncover actionable insights
* Build predictive models for forecasting, optimisation, and risk management
* Develop Generative AI solutions using LLMs and RAG architectures
* Work with stakeholders to identify and prioritise AI opportunities
* Support the deployment and monitoring of models in production environments
* Contribute to MLOps and AI governance best practices
* Translate complex technical concepts into business value

Required Experience

* 5+ years' experience within Data Science, Machine Learning, or AI
* Strong Python skills
* Experience building and deploying production-ready machine learning solutions
* Hands-on experience with cloud-based AI and data platforms
* Strong understanding of statistical modelling and advanced analytics
* Experience working directly with business stakeholders
* Excellent communication skills in English

Preferred Experience

* Azure AI Services
* Azure Machine Learning
* Databricks
* PySpark
* Microsoft Fabric
* Large Language Models (LLMs)
* Retrieval-Augmented Generation (RAG)
* NLP and/or Computer Vision
* MLOps
* Docker and Kubernetes

What's on Offer?

* Competitive freelance rate of up to 800 SEK/hour
* Long-term project opportunities
* Flexible hybrid working model
* Exposure to innovative AI, data, and analytics initiatives
* Opportunity to work with modern technologies and high-performing teams
* Immediate project impact and ownership

Location

This assignment is primarily based in Malmö, Sweden, with flexible remote working arrangements available depending on project requirements.

Interested?

If you're a Data Scientist with a strong background in Machine Learning, AI, and data-driven problem solving, we'd love to hear from you. Apply today with your CV and a summary of your recent project experience.

You will play a key role in designing, building, and optimising scalable cloud solutions using AWS, collaborating closely with cross-functional teams to deliver high-quality, cloud-native applications.

Key Responsibilities:

-Design, develop, and deploy scalable solutions on AWS.
-Build and maintain cloud-native applications and microservices.
-Collaborate with DevOps teams to implement CI/CD pipelines.
-Optimise performance, cost, and security of cloud environments.
-Implement infrastructure as code using tools like Terraform or CloudFormation.
-Troubleshoot, monitor, and improve system reliability.
-Work closely with stakeholders in a Swedish-speaking environment.

Key Requirements:

-Proven experience as a Cloud Developer / AWS Engineer.
-Strong hands-on expertise with core AWS services (e.g. EC2, Lambda, S3, RDS, API Gateway).
-Experience with Python, Node.js, or Java.
-Solid understanding of serverless architectures and microservices.
-Experience with Docker, Kubernetes (nice to have).
-Knowledge of CI/CD tools and DevOps practices.
-Experience with Infrastructure as Code (Terraform/CloudFormation).
-Fluent Swedish is essential (client-facing role).

About the Role

On behalf of our client, [Client Company Name], we're hiring a Senior BI Architect to design, govern, and scale their business intelligence ecosystem. You'll own the technical vision for how data is modeled, warehoused, and delivered to the business - turning raw data into trusted, decision-ready insight. This is a high-impact role for someone who thrives at the intersection of data architecture, analytics engineering, and stakeholder strategy.

What You'll Do

* Design and own the enterprise BI architecture, including data warehouse/lakehouse structures, semantic layers, and reporting frameworks
* Define and enforce data modeling standards (dimensional modeling, star/snowflake schemas, medallion architecture) to ensure consistency and performance across BI assets
* Lead the selection, implementation, and governance of BI tools and platforms (e.g., Power BI, Tableau, Looker) and their integration with the broader data stack
* Architect and lead migrations to Microsoft Fabric, including OneLake, lakehouses/warehouses, Data Factory pipelines, and Power BI semantic models
* Design solutions that remain cloud-agnostic where appropriate, ensuring architecture isn't unnecessarily locked to a single vendor and can integrate across AWS, Azure, and GCP data sources
* Partner with data engineering to design scalable, reliable data pipelines that feed BI systems
* Establish data governance practices - access controls, data quality standards, metadata management, and documentation
* Translate business requirements into scalable technical solutions, working closely with analysts, product, and executive stakeholders
* Mentor BI developers and analysts on architecture best practices, performance tuning, and self-service enablement
* Evaluate emerging BI/analytics technologies and make recommendations to keep the architecture future-proof
* Own performance optimization for large-scale dashboards, semantic models, and queries
* Drive self-service analytics adoption through well-governed, reusable data models

What You'll Bring

* 7+ years of experience in business intelligence, data architecture, or analytics engineering, including prior BI development experience
* Proven track record architecting enterprise-scale BI solutions from the ground up
* Hands-on experience leading multiple end-to-end migration projects onto Microsoft Fabric (OneLake, Lakehouse/Warehouse, Data Factory, Power BI semantic models), including planning cutover strategy and minimizing disruption to existing reporting
* Deep expertise in dimensional modeling and modern data warehouse/lakehouse design
* Cloud-agnostic mindset - comfortable architecting solutions that span or move between AWS, Azure, and GCP rather than being tied to a single ecosystem
* Advanced proficiency with Power BI (DAX, semantic modeling) and working knowledge of other major BI platforms (Tableau, Looker)
* Strong SQL skills and familiarity with ELT/ETL tooling (e.g., dbt, Data Factory, Fivetran, Airflow)
* Experience with data governance, security, and role-based access frameworks
* Excellent communication skills - able to translate between technical architecture and business needs
* Experience mentoring or leading technical teams

Nice to Have

* Experience migrating off legacy platforms (e.g., Synapse, SSAS, Snowflake, Redshift, BigQuery) onto Fabric
* Experience with Python or scripting for data automation
* Familiarity with CI/CD for analytics (version-controlled BI development, Fabric deployment pipelines)
* Background in a specific industry vertical (finance, retail, healthcare, SaaS, etc.)
* Relevant certifications (e.g., Microsoft Certified: Fabric Analytics Engineer, Power BI, Snowflake SnowPro, AWS/GCP data certifications)