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Job Description: Data Principal Architect

The Role

This is an expert/principal-tier consulting position not a hands-off strategy role, but a hands-on leader who sits between the C-suite (CIO, CDO, CMO) and engineering teams. You'll assess a client's existing IT/data landscape, design the future-state data architecture, and personally guide execution of large, high-risk transformations (legacy migrations, platform modernizations). Think: technical architect + trusted advisor + pre-sales technical lead, likely at a strategy/tech consultancy or a vendor's professional services arm, with a strong European (Sweden/EU) compliance angle.

What You'd Actually Be Doing

* Designing enterprise data topologies choosing and implementing Data Mesh (decentralized, domain-owned) vs. Data Fabric (centralized, metadata-driven virtualization) architectures, or a hybrid, based on client context
* Leading legacy-to-cloud migrations moving clients off Hadoop clusters/mainframes/legacy ERPs onto Databricks/Snowflake on Azure, using phased rollouts (assess → dual-run → cutover → optimize) rather than risky "big bang" switchovers
* Building governance & metadata infrastructure data catalogs, lineage tracking, business glossaries (via Unity Catalog, Collibra, or Alation), with federated access control
* Owning compliance-by-design GDPR anonymization, right-to-be-forgotten workflows, data residency/sovereignty within the EU, and increasingly, data quality/governance for the EU AI Act
* Pre-sales and stakeholder translation scoping engagements, diagnosing whether a client has a skills gap vs. a build need, and translating technical tradeoffs (latency, storage cost) into business language for executives
* Staying hands-on writing/reviewing dbt models and SQL, working in proper Git/CI/CD workflows, not just producing PowerPoints

What They're Looking For (Must-Haves)

* Deep, provable experience with Data Mesh and/or Data Fabric architecture design
* Microsoft Azure expertise (this is the primary cloud target)
* Strong hands-on background in Databricks and Snowflake (Delta Lake, warehousing, query optimization)
* dbt + advanced SQL
* Experience with data governance/catalog tooling (Unity Catalog, Collibra, Alation) and lineage
* Solid Git/SDLC discipline - this rules out candidates who've only worked in ad hoc, undocumented environments
* GDPR/data residency/RBAC literacy - critical given the Nordic/EU client base
* Executive communication skills and a genuine "doer-leader" profile (still writes code, not purely strategic)

Nice-to-Haves

Python/Scala/Java/Go, AWS or GCP exposure, Terraform, streaming (Kafka/Event Hubs/Flink), Docker/Kubernetes, and FinOps/cloud cost optimization.

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.

Senior BI & Data Warehouse Architect

Level: Senior / Principal · 15-25+ years' experience Discipline: Business Intelligence, Data Warehousing & Data Architecture Profile fit: Permanent, interim, or independent consultant

About the Role

We're looking for a senior, hands-on BI & Data Warehouse Architect who can own analytics solutions end-to-end from architecture and data modeling through build, migration, and governance. This is a "player-coach" profile: someone equally comfortable designing a target-state data platform, building the semantic model themselves, and mentoring the developers around them, while acting as translator between business stakeholders and technical delivery.

Key Responsibilities

* Design and own BI/DW architecture from the ground up, spanning on-prem and cloud environments
* Lead dimensional and semantic data modeling (Kimball methodology, star schema, Medallion architecture); maintain data dictionaries and metadata
* Plan and deliver platform migrations - legacy on-prem to cloud, or one BI/reporting toolset to another
* Build and optimize BI solutions, primarily in Power BI (DAX/MDX), alongside SSRS/SSAS or equivalent
* Design and manage ETL/ELT pipelines
* Own data governance, security/permissions, and Master Data Management (MDM) initiatives
* Translate between business requirements and technical delivery
* Lead and mentor junior BI/data team members
* Contribute to BI strategy across one or more concurrent projects or client engagements

Experience

* 15+ years in BI/Data Warehousing/Analytics; strong candidates for this profile often have 20-25 years
* Demonstrated architect-level ownership - has designed and built solutions from scratch, not only maintained existing ones
* A track record spanning legacy on-prem BI (Cognos, Business Objects, SSAS/SSRS/SSIS) through to modern cloud platforms (Azure, Snowflake, Databricks, Fabric) is a strong differentiator
* Has led at least one significant migration (e.g. on-prem → cloud, SAS → Snowflake, QlikView → Power BI, Hadoop → Microsoft stack)
* Consulting, freelance, or multi-client delivery background is a plus
* Experience leading or mentoring a small BI/data team
* Broad industry exposure rather than a single vertical (e.g. retail, banking/finance, insurance, logistics, telecom, real estate)

Technical Skills

* On-prem / legacy BI: SSIS, SSRS, SSAS, MDX, Cognos, Business Objects, SQL Server
* Cloud platforms: Azure (Azure SQL Database, Data Factory, Synapse, Analysis Services), Snowflake, Databricks, Microsoft Fabric
* BI & visualization: Power BI, DAX
* Data modeling: Kimball dimensional modeling, star schema design, Medallion (bronze/silver/gold) architecture
* Metadata & modeling tools: Erwin, Informatica Analyst (or equivalents)
* Governance & ops: Master Data Management, data security/permissions, data dictionaries
* SQL: Advanced

Education & Certifications (preferred, not required)

* Bachelor's degree in Informatics, Computer Science, Information Systems, or related field
* Vendor certifications/badges such as Microsoft Azure Fundamentals, Power Platform Fundamentals, Databricks or Snowflake credentials
* Formal DW training such as Kimball University

Nice to Have

* Experience running an independent BI consultancy or freelance practice
* Proactive, self-directed upskilling on emerging platforms (e.g. lab/sandbox experience with Fabric or Snowflake ahead of production use)
* Technical project management experience

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.

Senior Azure DevOps Engineer

Malmö | Hybrid



A growing international SaaS business is looking for a Senior Azure DevOps Engineer to join its expanding engineering team in Malmö.



The company has built a successful cloud-based product used by organisations across multiple markets and is entering an exciting phase of technical growth. As the platform continues to scale, the engineering team is investing heavily in cloud infrastructure, automation, platform reliability, and Kubernetes adoption.



This is a hands-on role for an experienced engineer who enjoys taking ownership, solving complex operational challenges, and working closely with software development teams to deliver reliable, scalable cloud solutions.



The Opportunity

You'll play a key role in the evolution of the company's Azure platform, helping to improve infrastructure, deployment processes, observability, automation, and operational excellence.

The environment is collaborative and fast-moving, offering the opportunity to influence technical decisions and contribute across multiple areas rather than being confined to a narrowly defined DevOps function.



This position would suit someone who enjoys balancing day-to-day operational responsibilities with longer-term platform and automation initiatives.



What You'll Be Doing

* Designing, building, and maintaining CI/CD pipelines
* Managing and improving Azure cloud infrastructure
* Developing and maintaining Infrastructure as Code using Terraform
* Supporting and expanding Kubernetes workloads within AKS
* Enhancing monitoring, reliability, and incident response processes
* Collaborating closely with software engineers to improve deployment and operational practices
* Driving automation initiatives across infrastructure and platform operations
* Troubleshooting and resolving infrastructure and production issues
* Contributing to cloud governance, security, and platform best practices
* Taking ownership of projects from design through implementation and ongoing support



What We're Looking For

* 5+ years of experience within DevOps, Platform Engineering, Cloud Operations, or similar environments
* Strong hands-on Microsoft Azure experience
* Proven experience building and maintaining CI/CD pipelines
* Experience with GitHub and GitHub Actions
* Strong Infrastructure as Code expertise using Terraform
* Experience working with Kubernetes and containerised environments
* Hands-on experience with AKS
* Strong operational mindset with experience supporting production environments
* Excellent troubleshooting and problem-solving skills
* Ability to work independently and take ownership of technical initiatives
* Strong communication skills and fluent English



Why Join?

* Join a growing product-focused technology business with ambitious plans
* Work in a highly collaborative engineering culture
* Take ownership of meaningful infrastructure and platform initiatives
* Influence the direction of cloud and DevOps practices
* Gain exposure to modern cloud-native technologies and automation projects
* Hybrid working environment in Malmo



If you're looking for a role where you can make a genuine impact, work across a broad technical landscape, and help shape the future of a growing cloud platform, 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.

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.