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We are seeking an experienced Chief Technology Officer (CTO) to lead a global technology strategy and drive the next phase of a digital transformation.

The CTO will shape the long-term technology vision of the organisation, leading the development of scalable digital platforms, modern cloud infrastructure, and innovative digital products that deliver real world value to customers and operations across multiple countries.

This is a strategic leadership role requiring a combination of technology vision, product innovation, and strong execution capability in modern cloud and data environments.

Your Responsibilities

Technology Strategy & Innovation

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Define and lead the company's long-term technology vision and strategy aligned with business objectives.
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Develop and deliver a multi-year technology roadmap covering digital platforms, remote monitoring, analytics, AI solutions, device management, and customer-facing products.
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Identify opportunities where technology can drive innovation, operational efficiency, safety, and sustainability.

Leadership & Technology Delivery

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Lead and grow a high-performing global technology organisation across engineering, digital products, and platform teams.
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Establish best practices in software engineering, product development, and cloud platform operations.
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Drive the successful execution of technology initiatives while balancing innovation with platform stability and scalability.

Platform & Architecture Leadership

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Own the organisation's enterprise technology architecture, ensuring secure, scalable, and resilient platforms.
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Guide development within a modern technology ecosystem built on Azure cloud services, .NET technologies, and advanced data platforms.
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Ensure strong standards across security, compliance, integration, and performance.

Cross-Functional Collaboration

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Work closely with the Head of Data to embed analytics and data-driven capabilities into digital platforms and products.
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Collaborate with technology and IT leadership across regions to align development practices, governance, and technology standards.
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Partner with operational teams and business units to translate business needs into scalable technology solutions.

What We're Looking For

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Proven experience in senior technology leadership roles such as CTO, VP Technology, VP Engineering, or Head of Technology.
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Demonstrated success delivering enterprise technology strategy and digital platform transformation.
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Strong expertise in modern cloud environments (particularly Azure), enterprise architecture, and scalable digital platforms.
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Experience leading engineering and technology teams in international or multi-country environments.
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A strategic mindset combined with a strong focus on delivery, innovation, and measurable business impact.



If this opportunity aligns with your experience and ambitions, please apply here.

What You'll Be Doing:

-Designing, implementing, and maintaining AWS cloud infrastructure
-Building CI/CD pipelines using tools such as GitHub Actions, GitLab, or AWS CodePipeline
-Automating environment provisioning and deployments (Terraform, CloudFormation)
-Monitoring, troubleshooting, and optimising cloud environments
-Collaborating closely with development teams to drive DevOps best practices

Requirements:

-Strong experience with AWS services (ECS, Lambda, EC2, S3, RDS, IAM, CloudWatch, etc.)
-Solid skills in Infrastructure as Code (Terraform preferred)
-Hands-on experience with CI/CD and automation
-Familiarity with containerisation (Docker, Kubernetes)
-Proficiency in scripting (Python, Bash)
-Fluent Swedish (both spoken and written) - essential

Senior Data Engineer / Microsoft Fabric Consultant

Overview

We are actively seeking a Senior Data Engineer / Microsoft Fabric Consultant to lead the design and delivery of modern data and analytics solutions across a range of client engagements. This is an exciting opportunity for someone who thrives on solving complex data challenges, building scalable architectures, and helping organisations unlock the full value of Microsoft Fabric, Power BI, and Azure.

You will partner closely with business stakeholders, technical teams, and fellow consultants to architect robust data platforms, develop high‑quality models and pipelines, and deliver actionable insights that drive decision‑making.

What You'll Do

* Lead client engagements end‑to‑end, from discovery and scoping through solution design, development, and delivery.
* Design and implement enterprise analytics solutions using Microsoft Fabric, including Lakehouse, Warehouse, Data Factory Pipelines, and Dataflows Gen2.
* Develop scalable ETL/ELT workflows, integrating, transforming, and modelling data from various sources.
* Build high‑quality Power BI dashboards, semantic models, and reporting layers aligned to business requirements.
* Translate complex business goals into data‑driven technical solutions with clear architectures and delivery plans.
* Oversee data governance, documentation, lineage, and best practices across all projects.
* Mentor junior consultants, support capability development, and contribute to delivery excellence within the practice.
* Collaborate with cross‑functional teams and stakeholders to ensure solutions meet performance, quality, and usability expectations.

What We're Looking For

* Deep expertise in Power BI: data modelling, DAX/M, RLS, performance optimisation, semantic model design, and best practices.
* Strong hands‑on experience with Microsoft Fabric, including Lakehouse, Warehouse, Pipelines, Dataflows Gen2, and analytics workflows.
* Advanced SQL development skills, including complex querying, performance tuning, and working with large datasets.
* Solid understanding of data engineering principles, including ETL/ELT, ingestion frameworks, and data integration patterns.
* Strong experience with Azure data services such as ADLS, Synapse, Data Factory, or related cloud‑based tools.
* Knowledge of data governance, quality frameworks, lineage, and security best practices.
* Excellent communication, stakeholder management, and requirements‑gathering skills.
* A proactive, consultative mindset with the ability to lead solutions and influence architectural direction.

Nice to Have

* Experience with Python or PySpark for data engineering.
* Familiarity with DevOps pipelines or CI/CD for analytics solutions.
* Exposure to Fabric's broader ecosystem (Real‑Time Analytics, KQL DBs, Notebooks, etc.)
* Experience working in consulting, professional services, or client‑facing environments.

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

Job Description: GCP Data Engineer

About the Role

We're looking for a highly skilled GCP Data Engineer to join our growing data function. In this role, you'll design, build, and optimise scalable data pipelines and cloud-based solutions using Google Cloud Platform. You'll work closely with product, analytics, and engineering teams to deliver clean, reliable, high‑quality data that powers decision‑making across the organisation.

This is an exciting opportunity for someone who enjoys end‑to‑end ownership, solving complex data challenges, and shaping modern cloud architectures.

Key Responsibilities

Data Engineering & Pipeline Development

* Design, build, and maintain scalable ETL/ELT pipelines using GCP-native services.
* Develop batch and real‑time data processing solutions with Dataflow and Pub/Sub.
* Implement efficient, reliable workflows via Cloud Composer (Airflow).
* Build and optimise data transformations using Dataform or dbt (optional).

Data Architecture & Modelling

* Design logical and physical data models for analytics and application use‑cases.
* Implement best practices across data warehousing, partitioning, and performance tuning in BigQuery.
* Ensure data quality, observability, and governance across systems.

Cloud Engineering & Infrastructure

* Deploy scalable and cost‑efficient solutions using GCP services (GCS, Dataproc, Cloud Functions, Cloud Run).
* Use Terraform to manage cloud resources as code.
* Collaborate with DevOps/Platform teams on CI/CD and containerisation (Docker, GKE).

Collaboration & Stakeholder Engagement

* Partner with data analysts, scientists, and cross‑functional teams to understand requirements.
* Translate business needs into robust technical solutions.
* Contribute to ongoing improvements in engineering standards, documentation, and best practices.

Required Skills & Experience

* Strong hands‑on experience with Google Cloud Platform, including:

* BigQuery
* Dataflow (Apache Beam)
* Pub/Sub
* Cloud Composer
* Cloud Storage (GCS)
* Dataproc

* Strong programming skills in Python and SQL.
* Experience building large‑scale ETL/ELT pipelines.
* Solid understanding of data modelling, data warehousing principles, and analytics workflows.
* Experience with Terraform or equivalent IaC tooling.
* Familiarity with CI/CD, Git, Docker, and containerised workloads.
* Strong problem-solving skills and ability to work with cross-functional stakeholders.

The Role

We are hiring a Senior Data Platform Engineer to help build and scale a cloud-based data platform in a highly regulated environment.

The organisation is partway through its migration to Azure, with production workloads already in place. The focus now is not strategy or architecture it's execution: building reliable, production-grade data platforms that will underpin future data and AI capabilities.

This role is for engineers who have actually built platforms within azure databricks, not just contributed to them or designed them at a high level.

You will be working in a low-risk environment, where data security, governance, and cost control are critical. The expectation is that you can deliver within those constraints, not work around them.

Responsibilities

* Building and operating Azure Databricks-based data platforms used in production
* Developing end-to-end data pipelines using Python and SQL
* Configuring and optimising Databricks environments, including:

* Cluster setup, tuning, and troubleshooting
* Job orchestration and scheduling
* Managing performance vs cost trade-offs

* Implementing data transformation and modelling workflows (dbt or similar)
* Owning platform components from initial build through to production support
* Ensuring data platforms meet strict security, governance, and risk requirements
* Contributing to ongoing cloud migration and platform modernisation work

Required Experience

* Strong, hands-on experience building Azure Databricks data platforms from scratch
* Proven track record delivering and supporting production-grade data pipelines
* Solid experience with:

* Azure
* Azure Databricks
* Python
* SQL

* Experience working with data at scale (not just small or isolated datasets)
* Background in regulated or enterprise environments with governance constraints
* Comfortable working in cost-sensitive environments where efficiency matters

Nice to Have

* Hands-on experience with dbt in production
* Experience in financial services or similar regulated industries
* Exposure to cloud migration programmes
* Experience optimising Databricks for performance and cost

Why This Role

* Opportunity to build real, production data platforms, not just prototypes
* Direct impact on a platform that will enable future AI and data capabilities
* Work in an environment where engineering quality, security, and reliability actually matter
* Join a team that values delivery over theory

Fullstack .NET Engineer - Contract

Overview
A global product organisation is looking for a Backend Engineer to join its platform team on a 6-12 month contract based in Malmö. The team is responsible for a cloud-native platform that connects and manages a range of digital devices and integrates with external services.

Responsibilities

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Design, build, and maintain scalable backend services and APIs.
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Support device and data workflows across a distributed platform.
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Collaborate with frontend engineers, hardware specialists, product managers, and designers.
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Take features from early concept through to production release.
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Contribute to architecture decisions and engineering best practices.
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Work in a cross-functional, agile team with iterative delivery cycles.
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Participate in a distributed setup with a high degree of remote flexibility.

Tech stack

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Backend: .NET, C#
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Databases: PostgreSQL (PostGIS)
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Data & analytics: Stitch, DBT, Snowflake, Power BI
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Cloud: Azure (Service Bus, Container Apps)
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DevOps: Docker, GitHub Actions, Infrastructure as Code (Bicep)
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Frontend (nice to have): TypeScript, React

Required experience

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5+ years of backend development in production environments.
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Proven experience building scalable APIs and backend services.
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Strong automated testing practices.
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Solid experience with relational databases.
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Familiarity with cloud platforms and distributed architectures.
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Fluent English, written and spoken.

Nice to have

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Exposure to TypeScript or modern frontend frameworks (React, Vue, or Angular).
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Experience with IoT or device-management platforms.
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Hands-on work with Azure services.

Profile

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Self-directed and comfortable taking technical ownership.
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Strong focus on reliability, scalability, and clean system design.
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Able to work independently while contributing to a collaborative team.
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Open to feedback, proactive in communication, and solution-oriented.
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Comfortable questioning assumptions and driving improvements.

Role: Head of Data (Cloud Transformation)

The Mission

We are at a pivotal architectural crossroads. As the Head of Data, you will evaluate, select, and implement our long-term data foundation. You will lead a high-performing local team to migrate legacy structures into a world-class environment built for scale and AI-readiness.

The Technical Landscape

You will have the autonomy to define our stack, focusing on the industry's leading platforms. We are looking for expertise in:

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Data Warehousing & Lakehouses: Strategic evaluation and implementation of Snowflake, BigQuery, or Databricks.
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The Python Engine: Overseeing advanced automation, custom ETL frameworks, and ML integration using Python.
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BI & Visualization: Building sophisticated, executive-level insights via Power BI, Tableau, or Looker.
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Migrations: Planning and executing the transition of fragmented data sources into a unified cloud architecture.

Experience & Skills

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Platform Mastery: You have "seen the movie before" with at least two of the following: Snowflake, BigQuery, or Databricks. You understand the cost-to-performance trade-offs of each.
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Swedish Leadership: Proven experience managing Swedish-native engineering teams. You thrive in a flat, autonomous, and high-trust work culture.
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Migration Architecture: You have led a large-scale data migration from start to finish, ensuring zero downtime and high data integrity.
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Strategic Communication: You can translate "storage clusters" and "compute costs" into business value for the C-suite.

Why Apply?

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Tech-First Culture: We aren't looking for a "manager"; we are looking for a technical leader who wants to build a legacy.
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The "Dream Team": Skip the hiring lag-you start with four senior, Swedish-speaking engineers who are ready to execute your vision.
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Regional Focus: We value the talent hubs in Lund and Linköping, offering a better work-life balance and high-impact technical challenges outside the capital.

An innovative software company, partnered with Microsoft and operating in the live streaming industry, is expanding its Infra team-and they're looking for an Azure DevOps Engineer to join them in Stockholm.

Backed by their Microsoft partnership and other major tech enterprises, this company has achieved phenomenal growth and is at the cutting edge of cloud infrastructure and live video technology.

What You'll Do:

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Design, build, and maintain Kubernetes clusters in Azure, including migration from AKS to self-managed clusters.
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Develop and maintain infrastructure with Terraform.
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Design and manage GitHub workflows and CI/CD pipelines.
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Contribute to platform reliability, scalability, and security in a cloud-hosted production environment.

What You Bring:

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3+ years of experience as a DevOps engineer with strong hands-on experience in Kubernetes (both standalone and AKS).
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Solid experience with Terraform.
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Hands-on experience with Azure services such as Storage Accounts, VNETs, Virtual Machines, Key Vaults, and Network Security Groups.
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English fluency, and a valid visa or permanent residency in Sweden.

Why This Role?

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Join a Microsoft partner leading the way in modern video production technology.
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Play a key role in a major Kubernetes infrastructure transformation.
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Enjoy high technical ownership and influence over architecture.
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Flexible hybrid working environment with a modern office.
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Competitive salary and benefits package.

If you're ready to take your DevOps career to the next level, this could be the perfect fit.

For more information contact Therese Dahl on t.dahl@tenthrevolution.com

About the Role

We're at a point where our data setup needs to evolve.

Over time, different systems and solutions have been built to support the business. While they've served us well, they're no longer enough for where we're going next. We want to create a modern, scalable data platform that supports better decision-making, advanced analytics, and future AI initiatives.

As Head of Data, you'll take ownership of that journey.

This is a role for someone who enjoys building not just managing. You'll define the direction, make key technical decisions, and work closely with a strong team to bring that vision to life.

What You'll Be Responsible For

Defining the Data Strategy
You'll set the long-term vision for how data is structured, stored, and used across the organisation. This includes selecting the right architecture and ensuring it supports both current and future needs.

Designing the Platform
You'll evaluate and implement a modern cloud-based data platform (warehouse/lakehouse), balancing scalability, performance, and cost.

Leading the Migration Journey
You'll plan and execute the transition from existing systems to a unified environment-ensuring stability, data integrity, and minimal disruption along the way.

Leading the Team
You'll work with a team of experienced, Sweden-based data engineers. Your role is to guide, support, and challenge them, creating an environment where people take ownership and do their best work.

Working Across the Business
You'll collaborate with stakeholders from different parts of the organisation, helping them understand what's possible with data and how it can create real value.

Driving Best Practices
You'll establish standards for data quality, governance, security, and documentation, ensuring the platform is reliable and trusted.

Technology & Environment

You'll have a strong voice in shaping the tech stack. We expect you to bring experience and perspective rather than follow a fixed setup.

You've likely worked with:

* Cloud data platforms such as Snowflake, Databricks, or BigQuery
* Python for data engineering, automation, or ML-related workflows
* BI tools like Power BI, Tableau, or Looker
* Modern cloud environments and distributed data systems

Who We're Looking For

We're looking for someone who combines technical depth with leadership and pragmatism.

* You've built or significantly evolved a data platform before
* You have experience with large-scale data migrations
* You're comfortable making architectural decisions and explaining them clearly
* You've led engineering teams, ideally in a Swedish or similar work culture
* You value collaboration, ownership, and low hierarchy
* You're still hands-on enough to challenge technical decisions when needed