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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.

Your Role

As a Senior Databricks Lakehouse Architect (Swedish-Speaking), you will lead the design and evolution of enterprise-grade data platforms built on the modern lakehouse paradigm. This role is tailored for engineers who go beyond standard pipeline development focusing on performance tuning, governance at scale, and advanced Databricks capabilities.

You will act as a technical authority, shaping best practices across data engineering, platform architecture, and machine learning integration within the Databricks ecosystem.



In This Role, You Will

Own end-to-end Lakehouse architecture
Design and implement scalable lakehouse solutions using Databricks, leveraging advanced features such as Delta Live Tables, Unity Catalog, and Photon for high-performance workloads.

Build highly optimized Spark workloads
Develop and fine-tune complex distributed data pipelines using Apache Spark, with deep focus on query optimisation, partitioning strategies, and cost efficiency.

Implement advanced data governance and security
Drive enterprise-grade governance using Unity Catalog, data lineage, fine-grained access control, and compliance frameworks across Azure environments.

Engineer real-time and batch data solutions
Design streaming architectures (Structured Streaming, Auto Loader) alongside batch processing pipelines for large-scale, mission-critical data sets.

Lead ML and MLOps integration
Operational machine learning models using Databricks ML, MLflow, and CI/CD pipelines-ensuring reproducibility, monitoring, and life cycle management.

Act as a technical mentor and stakeholder partner
Collaborate with senior stakeholders, data scientists, and platform teams while mentoring engineers and setting engineering standards.



Your Profile

* Extensive hands-on experience in Data Engineering, with a strong focus on Databricks-based platforms
* Deep expertise in:

* Advanced Databricks Lakehouse architecture
* Delta Lake internals (transaction logs, optimisation, Z-ordering, vacuum strategies)
* Performance tuning in Spark (Catalyst optimiser, execution plans, memory management)

* Proven experience with Azure Data Lake Storage, Azure Data Factory, and broader Azure ecosystem
* Strong programming skills in Python and SQL, with production-grade pipeline development experience
* Hands-on experience with MLflow, feature stores, and MLOps practices
* Experience implementing data governance frameworks and working with regulated data environments
* Fluent Swedish (spoken and written) - essential for collaboration with local stakeholders



What Sets You Apart (Essesntial)

* Experience with Unity Catalog at scale across multiple workspaces
* Deep understanding of cost optimization in Databricks (cluster policies, spot instances, workload isolation)
* Experience with Delta Sharing and cross-platform data collaboration
* Building medallion architecture (Bronze/Silver/Gold) at enterprise scale
* Familiarity with infrastructure-as-code (Terraform) for Databricks deployments
* Exposure to real-time analytics and event-driven architectures

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.

About the Engagement

We are looking for an experienced Microsoft Fabric Architect to join us on a freelance basis to lead the design and delivery of our enterprise data platform. This is a hands-on contract role, ideal for an independent consultant who can hit the ground running and take ownership of critical architecture decisions from day one.

You will be embedded within our Data & Analytics team, working alongside internal engineers, BI developers, and senior stakeholders to deliver a robust and scalable Microsoft Fabric environment within an agreed timeframe.



Platform Architecture & Design

* Define and document the end-to-end Microsoft Fabric architecture including OneLake, Lakehouses, Warehouses, Data Pipelines, and Semantic Models.
* Establish workspace strategy, capacity planning, and governance frameworks tailored to the organisation's needs.
* Assess and lead migration of existing Azure data assets (Synapse, ADF, ADLS, Power BI Premium) to Microsoft Fabric.
* Produce architecture decision records (ADRs), solution design documents, and technical roadmaps.



Essential stack

* 5+ years in data architecture or senior data engineering, with recent hands-on Microsoft Fabric experience.
* Demonstrable experience delivering Microsoft Fabric solutions including Lakehouses, Warehouses, Pipelines, Dataflows Gen2, and Fabric notebooks.
* Strong background in Azure data services: Synapse Analytics, ADLS Gen2, Azure Data Factory, Azure Databricks.
* Proficient in SQL, PySpark, and Python for data engineering and transformation.
* Experience with medallion / lakehouse architecture and dimensional data modelling.
* Solid Power BI architecture knowledge including Direct Lake and semantic model design.
* Comfortable working in a DevOps / Agile environment with Git-based deployments and CI/CD pipelines.
* Proven ability to deliver independently with minimal supervision in a contract setting.
* Strong documentation skills and the ability to produce clear technical artefacts.

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).

Key Responsibilities:

-Develop and maintain robust backend services using Java.
-Build and enhance modern frontend applications.
-Contribute to system architecture and technical design.
-Collaborate with product owners, designers, and other developers.
-Ensure code quality through reviews, testing, and best practices.
-Troubleshoot and optimize performance across applications.

Requirements:

-Strong experience as a Senior Java Developer / Fullstack Developer.
-Solid knowledge of Java (Spring / Spring Boot).
-Experience with modern frontend frameworks (e.g., React, Angular, or Vue).
-Familiarity with REST APIs, microservices architecture, and cloud platforms.
-Experience with CI/CD pipelines and DevOps practices.
-Fluent Swedish (spoken and written).