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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

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

AI Engineer - Freelance

Location: Stockholm- some onsite required
Engagement: 100% allocation, 6 months initial contract



Our client is looking for a talented AI Engineer to help build and deliver new AI‑driven features and prototypes. This is a great fit for freelancers who enjoy working with modern tools, moving quickly, and contributing to meaningful product decisions without heavy processes or red tape.

What you'll be doing

- Building and fine‑tuning LLMs

- Developing lightweight agent workflows and RAG pipelines

- Turning ideas into working prototypes and production‑ready solutions

- Helping shape AI architecture and best practices

- Working closely with product and engineering teams to deliver fast, high‑quality outcomes

Tech they use

* Python
* PyTorch, Hugging Face
* FastAPI
* Chroma or Pinecone
* Docker
* AWS or GCP
* LangChain / LlamaIndex
* (Nice to have) Weights & Biases



What they're looking for

Strong practical experience with AI/ML

Comfortable working independently and iterating quickly

Ability to select the right approach for each project

Good communication and a collaborative mindset

Why freelancers enjoy working with this client

Greenfield AI work with real impact

Flexible working hours

Modern, interesting projects

Freedom to experiment with new tools



How to apply


Send your CV and contact details to t.roach@tenthrevolution.com along with a couple lines talking about a production AI system you built that you're proud of - and what you'd want to build next. We don't require any cover letter, just a small insight into how you operate.

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).

Overview
We're looking for a CTO who wants to do more than just lead a tech team - someone who wants to shape how the company thinks, builds, and scales through technology.

You'll be a key part of the leadership team, setting the technical direction and making sure everything we build actually moves the business forward. This role is about combining big-picture thinking with real execution - turning ideas into systems that work, scale, and last.



What You'll Be Doing

You'll define and drive our technology strategy, making sure it aligns with where the company is headed. A big part of your role will be building and developing a high‑performing engineering function, creating a culture people actually want to be part of.

You'll ensure our systems are secure, scalable, and ready for growth, while staying on top of emerging tools and technologies - including knowing when to adopt them and when to avoid unnecessary complexity. You'll collaborate closely with product, commercial, and operational teams, translating ideas into real outcomes and maintaining smooth, reliable, and secure delivery.

You'll introduce the right processes - things like Agile, DevOps, and CI/CD - but in a way that's pragmatic and suited to how we work. You'll also manage budgets, resources, and key technology partnerships, and act as a trusted technical voice for leadership, investors, and other stakeholders.





What We're Looking For

* You've operated at a senior level before (CTO, VP Engineering, or similar)
* You have a strong technical foundation - you understand how things are built, not just how to manage them
* You've helped scale products, platforms, or teams in a growing company
* You're comfortable with modern tech stacks and cloud environments (AWS, Azure, GCP)
* You understand security, data privacy, and what "good" looks like in production systems
* You're a strong communicator who can bridge technical and non-technical worlds
* You think commercially - you understand how tech decisions impact the business



Nice to Have

* Experience in our industry (e.g. fintech, SaaS, healthtech)
* Background in startups or scale-ups
* Exposure to fundraising, investors, or M&A
* Interest or experience in data, AI, or advanced analytics



What Success Looks Like

* We have a sucsessful platform that scales without constant issues
* The engineering team is strong, motivated, and delivering consistently
* Technology decisions clearly support business growth
* We're continuously improving - not stagnating



What You'll Get

* Competitive salary, plus bonus and/or equity
* Flexibility around how and where you work
* Real ownership and the ability to shape the company's future
* A fast-moving, collaborative environment
* Opportunities to grow as the company grows



Interested?

Send us your CV and a short note about why this role caught your attention.
We're less interested in perfect applications - more interested in people who want to build something meaningful.

Location: Stockholm
Contract: Freelance
Onsite: 2-3 days per week
Duration: Until end of 2026



What You'll be Doing:

-Designing, developing, and maintaining tools that orchestrate and manage thousands of range systems at scale.
-Ensuring servers can be effortlessly provisioned, configured, and managed through robust internal tooling.
-Building and evolving monitoring and observability solutions that provide real-time insights across all running software.
-Supporting internal teams through reliable release management and regression testing environments.
-Working hands‑on with hardware‑adjacent systems-servers, screens, cameras-within Linux-based ecosystems.

Requirements:

-Senior-level background in software engineering
-Expert-level Kubernetes knowledge
-Strong Python development skills
-Solid experience with Linux environments
-Someone who enjoys owning technical decisions, improving system scalability, and delivering clean, reliable code

Key Responsibilities

* Develop and maintain semantic data models and Power BI dashboards
* Ensure data quality, consistency, and well-defined KPI logic
* Translate business requirements into scalable and user-friendly BI solutions
* Work with Power BI (DAX, Power Query/M) and Microsoft Fabric
* Manage data refresh processes, monitoring, and solution stability
* Document data models, logic, and data sources

Additionally, you will contribute to the development of evolving data architecture, including:

* Supporting proof-of-concept initiatives for modern data pipelines
* Working with data ingestion from systems such as Oracle and other operational sources
* Prototyping data transformation and processing using Python
* Contributing to workflow orchestration using tools such as Apache Airflow
* Supporting SQL Server (on-premises) as part of a centralized data layer
* Assisting in the development of dimensional models aligned with business requirements

Technology Environment

Current Core Stack:

* Power BI (data modeling, DAX, Power Query/M)
* SQL
* Microsoft Fabric
* Data sourced from Oracle and other operational systems

Emerging / Proof-of-Concept:

* Python for data processing and prototyping
* Apache Airflow for orchestration
* SQL Server (on-premises)
* Dimensional data modelling

Future Direction:

* Potential transition toward a cloud-based architecture (e.g., Microsoft Azure)
* Increased focus on scalable data engineering and advanced analytics

Qualifications

* Strong proficiency in Power BI (data modelling, DAX, M)
* Solid SQL skills
* Understanding of modern data modelling concepts (e.g., star schema, dimensions)
* Familiarity with Microsoft Fabric or similar platforms
* Ability to translate business needs into technical solutions
* Strong communication and collaboration skills
* Fluency in English and Swedish

Preferred:

* Experience with Python and/or Apache Airflow
* Experience working with Oracle or similar data sources
* Familiarity with ETL/ELT processes
* Experience with version control (e.g., Git)
* Interest in cloud platforms such as Microsoft Azure

Personal Attributes

* Structured and detail-oriented
* Strong analytical and problem-solving skills
* Comfortable working both independently and in cross-functional teams
* Able to communicate effectively with both technical and non-technical stakeholders

About the Role

We're looking for a Data Engineer to join a collaborative, high-performing team in Stockholm.

This role is very hands-on. You'll be working closely with product, analytics, and engineering teams to build and improve the data platform ensuring data is clean, reliable, and actually useful for decision-making.

It's a great fit for someone who enjoys solving real problems, working with modern tools, and being part of a team that values quality and simplicity.

What You'll Be Doing

* Designing, building, and maintaining scalable data pipelines
* Developing ETL/ELT workflows for both batch and streaming data
* Working with Databricks and Spark to process large datasets efficiently
* Collaborating with cross-functional teams to deliver data solutions that scale
* Writing clean, production-level code in Python and SQL
* Improving data quality, reliability, and performance across the platform
* Supporting best practices in data governance and security

Tech Environment

You'll be working in a modern, cloud-based setup:

* Core: Databricks, Azure, Python, SQL
* Cloud: AWS (preferred), with Azure or GCP as a plus
* Data Engineering: ETL/ELT pipelines, Delta Lake, Airflow (or similar orchestration tools)
* Version Control & CI/CD: Git, Jenkins (or similar)
* Other: APIs, streaming data, and large-scale datasets

What We're Looking For

* 3-5 years' experience as a Data Engineer
* Strong hands-on skills in Python and SQL
* Solid experience with Databricks and Spark
* Proven track record building and optimising data pipelines
* Comfortable working in a Linux or cloud environment
* A proactive, curious mindset-you take ownership and get things done
* Comfortable working onsite in a collaborative team environment

Why This Role

* Immediate impact - you'll be contributing from day one
* Modern tech stack - work with Databricks, AWS, and scalable data systems
* Strong team environment - collaborative, low hierarchy, and delivery-focused
* Interesting challenges - large datasets, real-time data, and performance optimisation

What you'll do:
-Design, implement, and optimise complex AWS cloud environments
-Lead cloud‑migration and modernisation programmes
-Establish architectural best practices across teams
-Advise stakeholders on cloud strategy, security, and cost optimisation
-Partner with engineering and DevOps teams to deliver scalable solutions
-Produce clear architectural documentation and guidelines

Required:
-7+ years' experience in cloud architecture with deep AWS expertise
-Strong knowledge of EC2, Lambda, VPC, CloudFormation/Terraform, RDS, ECS/EKS, IAM
-Proven ability to design secure, scalable, highly available systems
-Experience guiding technical decisions and mentoring engineering teams
-Familiarity with CI/CD pipelines and DevOps tooling
-Excellent communication and stakeholder engagement skills
-AWS Solutions Architect Professional certification is a big plus
-Swedish Speaking

Nice to Have:
-Serverless architecture experience
-Container orchestration & microservices knowledge
-FinOps or cost‑optimisation skills

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.