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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.

I have a client who are looking for an experienced Senior Data Scientist to join a high-performing data and analytics team focused on transforming large scale engineering and sensor data into actionable business insights. You'll be joining a team working on cutting edge science, machine learning and AI projects, helping to solve complex challenges and drive innovation.
This position is ideal for a senior professional who combines deep technical expertise with strong leadership skills and a passion for mentoring others.

Key Responsibilities

* Analyse large and complex datasets to generate meaningful insights and recommendations.

* Design, develop, validate, and deploy advanced machine learning models.
* Lead data science initiatives from concept through to production deployment.
* Drive innovation through the evaluation and adoption of emerging AI and machine learning technologies.

* Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders.

* Contribute to the development of scalable analytical and machine learning solutions.

Required Skills & Experience

* Master's degree or PhD in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
* 5+ years of experience working in Data Science, Machine Learning, or a similar analytical role.
* Strong Python programming skills.
* Hands-on experience with data science libraries including Pandas, NumPy, PySpark

* Strong understanding of Statistical Modelling, Machine Learning algorithms, Predictive analytics, Time-series analysis.
* Experience building and maintaining production-grade data and machine learning pipelines.
* Previous experience working with Databricks, Snowflake, or similar modern data platforms.

Desirable Experience

* Experience with Generative AI and Large Language Model (LLM) applications.
* Knowledge of Azure or other cloud platforms.
* Experience with Streamlit, React, or other front-end technologies.
* Previous Mentoring, Technical leadership, or team guidance Experience

Ideal Candidate

* Thrives in a collaborative and fast-paced environment.
* Balances analytical rigour with a practical, delivery-focused mindset.
* Takes ownership of projects and drives them through to completion.
* Has excellent stakeholder management and communication skills.

Apply

If you're an experienced Senior Data Scientist looking for your next freelance contract in Sweden and have a strong background in machine learning, large-scale data processing, and advanced analytics, we'd love to hear from you.

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.

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)

Data Scientist

Rate: 1150 SEK per hour

We're currently looking for an experienced Data Scientist to join a growing team and help turn data into meaningful business outcomes.

This is an opportunity for someone who enjoys solving complex problems, uncovering valuable insights, and building machine learning solutions that support strategic decision-making. You'll work closely with both technical and business stakeholders, using data to drive innovation, improve processes, and create measurable impact.

What You'll Be Doing

* Collecting, cleaning, and analysing large structured and unstructured data sets.
* Building predictive models and machine learning solutions to address real business challenges.
* Designing and running statistical analyses, experiments, and hypothesis testing.
* Creating dashboards, reports, and visualisations that communicate insights clearly to both technical and non-technical audiences.
* Working with engineering teams to deploy, monitor, and improve machine learning models in production.
* Identifying opportunities for automation and data-driven optimisation across the business.
* Partnering with stakeholders to understand business requirements and translate them into analytical solutions.
* Maintaining high standards around data quality, governance, and best practices.
* Keeping up to date with the latest developments in AI, machine learning, and data science.

What We're Looking For

* A degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, Physics, or another quantitative field.
* Proven commercial experience as a Data Scientist or in a similar analytical role.
* Strong Python and/or R programming skills.
* Experience working with SQL and large-scale data sets.
* Hands-on experience developing, training, and evaluating machine learning models.
* Solid understanding of statistics, probability, and predictive modelling techniques.
* Experience with tools and frameworks such as Scikit-learn, Pandas, NumPy, TensorFlow, or PyTorch.
* Experience creating visualisations using tools such as Power BI, Tableau, or Matplotlib.
* Excellent communication skills with the ability to explain complex concepts to different audiences.

Nice to Have

* Experience with AWS, Azure, or Google Cloud Platform.
* Knowledge of MLOps, CI/CD, and model deployment pipelines.
* Experience with Spark, Databricks, or other distributed data processing technologies.
* Familiarity with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
* Previous experience working in Agile environments.

The Right Person Will Be

* Naturally curious and analytical.
* A strong problem solver who enjoys tackling complex challenges.
* Self-motivated and highly organised.
* Collaborative and comfortable working across multidisciplinary teams.
* Passionate about using data and AI to create business value.

If you're excited about applying data science, machine learning, and AI to solve real-world problems and want to work in a collaborative, forward-thinking environment, we'd love to hear from you.

Role Overview:
As a Senior Solution Architect, you'll play a key role in shaping and delivering scalable, secure, and high-performing cloud solutions. You'll work closely with engineering teams, stakeholders, and business leaders to define architecture strategy and ensure best practice across AWS environments.

Key Requirements:

-Proven experience as a Senior Solution Architect in enterprise environments.
-Strong expertise across AWS services (e.g. EC2, Lambda, S3, RDS, VPC, etc.).
-Solid DevOps background - CI/CD pipelines, automation, infrastructure as code (e.g. Terraform, CloudFormation).
-Experience designing scalable, resilient cloud architectures.
-Strong understanding of cloud security and governance.
-Ability to work closely with development and operations teams.
-Excellent stakeholder communication skills.
-Swedish Speaking.

Nice to Have:

-Experience with containerisation (Docker/Kubernetes).
-Prior experience in large-scale digital transformation programmes.
-AWS certifications (e.g. Solutions Architect Professional).

You'll be joining a talented engineering team responsible for building, enhancing, and maintaining scalable backend systems that power key financial products and services. The role will involve developing robust Python applications, contributing to cloud-based solutions, and working closely with cross-functional teams to deliver high-quality software in a fast-paced environment.





They're looking for:



-Strong Python experience required.

-Experience with GCP and Terraform would be highly beneficial.

-FinTech or financial services experience is a plus.

Teknisk rådgivare - Microsoft-infrastruktur & IT Advisory

Är du en erfaren specialist inom Microsoft-infrastruktur som vill ta steget från implementation till en mer strategisk och rådgivande roll?

Detta är en möjlighet hos ett oberoende IT-rådgivningsbolag som hjälper medelstora organisationer att fatta bättre och mer välgrundade teknologibeslut. Fokus ligger helt på kundens sida - inte på att sälja produkter, driva implementationer eller representera leverantörer, utan på att ge objektiv rådgivning som skapar verkligt affärsvärde.

Om rollen

I rollen som teknisk rådgivare arbetar du nära flera kundorganisationer och blir en förlängning av deras IT-ledning. Du hjälper till att forma riktning, struktur och beslut inom områden som infrastruktur, moln, identitet, säkerhet, governance och modern workplace.

Du kommer bland annat att:

Agera rådgivare till flera kunder inom olika branscher
Stötta ledningsgrupper, CIO:er och ekonomichefer i tekniska och strategiska beslut
Ta fram IT-strategier, målarkitekturer och roadmap
Utvärdera och utmana tekniska lösningar och leverantörsval
Säkerställa att beslut är långsiktigt hållbara ur både teknik-, säkerhets- och affärsperspektiv

De söker dig som har:

Gedigen erfarenhet av Microsoft-infrastruktur i enterprise-miljöer
Djup kunskap inom exempelvis Active Directory, Entra ID, Microsoft 365, Intune, hybridmiljöer, säkerhet och identitet
Erfarenhet från konsultbolag, outsourcing, managed services eller teknisk pre-sales
Förmåga att översätta tekniska lösningar till affärsnytta och beslutsunderlag
Intresse för att lämna ren implementation och gå mot mer rådgivande och strategiskt arbete

Varför detta är annorlunda

Rollen är helt leverantörsoberoende - fokus ligger enbart på kundens bästa
Inget produktförsäljande eller implementationsansvar
Långsiktiga kundrelationer där man arbetar med ett fåtal kunder över flera år
Variation mellan olika kunder, branscher och utmaningar
Ett seniort och samarbetsinriktat team där kunskapsdelning är centralt

Detta passar dig som trivs i gränslandet mellan teknik och affär, och som vill använda din erfarenhet för att påverka beslut som får långsiktig betydelse.