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What You'll Be Working On

-Building and maintaining backend functionality using PHP and Laravel
-Developing a new internal admin & back-office application supporting core business operations
-Refactoring and improving functionality within a large legacy codebase
-Supporting the migration from a bespoke system toward modern frameworks, patterns, and standards
-Collaborating closely with a hands-on Technical Lead and CTO on long-term architectural decisions
-Ensuring software works cohesively with existing hardware and operational constraints
-Writing clean, maintainable, well-documented code
-Identifying technical debt, risks, and improvement opportunities
-Troubleshooting, optimizing performance, and resolving issues in production and non-production environments

What We're Looking For

-Strong commercial experience with PHP and Laravel
-Experience working with legacy systems, including refactoring and staged modernization
-Solid understanding of backend architecture, MVC, and RESTful APIs
-Experience building internal tools/admin or back-office systems
-Proficient with relational databases (MySQL/PostgreSQL)
-Pragmatic mindset-comfortable working in environments with constraints
-Experience collaborating with senior technical stakeholders (Lead Developers, CTOs)
-Strong problem-solving skills and a delivery-focused approach
-Ability to work independently within a small, highly-skilled technical team

Nice-to-Have Experience

-Previous involvement in modernization or platform consolidation projects
-Familiarity with DevOps, CI/CD, tooling, or infra considerations
-Experience working in environments where software integrates closely with hardware systems
-Freelance/consulting experience in technical transformation environments

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.

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

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

Key Responsibilities

* Build and optimise ETL/ELT pipelines using AWS services
* Work with AWS Glue, Lambda, Redshift, S3, Athena, EMR, Kinesis
* Develop data models and ensure data quality & governance
* Collaborate with cross-functional teams to support analytics and reporting needs
* Implement best practices for performance, scalability, and cost optimisation

What You'll Bring

* Strong commercial experience as a Data Engineer in AWS environments
* Proficiency in Python, SQL, and data modelling
* Hands-on expertise with ETL/ELT development and orchestration
* Knowledge of DevOps principles, CI/CD, and IaC (Terraform/CloudFormation)
* Ability to work autonomously and deliver in a fast-paced project environment

Desirable Skills

* Experience with real-time/streaming data (Kafka/Kinesis)
* Familiarity with Docker or Kubernetes (ECS/EKS)
* Experience supporting ML/AI data workflows

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.

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.

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

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