A Tenth Revolution Group Company

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For Permanent and Contract

    Data Engineer

    USA, Texas, Dallas

    • $80,000 to $135,000 USD
    • Engineer Role
    • Skills: AWS, SQL, Apache Airflow, Azure, python, spark
    • Seniority: Mid-level

    Job description

    Position Title: Data Engineer

    Job Overview:

    We're looking for a versatile and proactive Data Engineer to join our growing team. This role involves designing, building, and maintaining scalable data pipelines and infrastructure that power analytics and reporting across the organization. You'll work closely with technical and non-technical stakeholders to move data efficiently, ensure system reliability, and support our long-term data strategy. The ideal candidate is agile, collaborative, and able to think critically through technical challenges in a fast-evolving environment.

    Key Responsibilities:

    * Pipeline Development & Maintenance: Build and maintain reliable, scalable ETL/ELT pipelines to support analytics, operations, and reporting.

    * Data Infrastructure: Design and optimize data architecture across cloud and on-prem systems, enabling efficient data access and storage.

    * Collaboration: Work cross-functionally with analysts, data scientists, and product teams to deliver high-quality data solutions.

    * Performance & Scalability: Monitor and improve system performance, supporting infrastructure that's built for growth.

    * Versatility in Execution: Own end-to-end data workflows, from ingestion to transformation to delivery-no silos here.

    * Data Governance & Quality: Ensure data accuracy, lineage, and security, maintaining compliance with internal and external standards.

    * Problem Solving: Tackle evolving technical challenges using a tech-agnostic mindset-emphasizing clarity, quality, and collaboration.

    * Team Contribution: While independent and self-directed, you'll be part of a small, dynamic team where your voice matters and your initiative shapes outcomes.

    Qualifications:

    * Education: Bachelor's degree in Computer Science, Engineering, or a related field (graduate degree a plus).

    * Experience: Experience in data engineering, working across ingestion, transformation, and storage layers.

    * Proven experience with SQL and at least one major language or platform (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).

    * Comfortable working in an evolving tech environment-open to learning and adapting as tools and priorities shift.

    * Strong understanding of database systems, data modeling, and cloud architecture.

    * Familiarity with orchestration tools (e.g., Airflow, dbt, or similar).

    * Bonus: experience working with reporting or BI tools like Power BI, Tableau, or MicroStrategy.

    Skills & Competencies:

    * Takes initiative and brings solutions, not just problems.

    * Strong analytical thinking and a pragmatic approach to building systems.

    * Excellent communication skills-able to explain complex processes clearly to both technical and non-technical audiences.

    * Collaborative and team-oriented, but capable of working independently when needed.

    * Detail-oriented, dependable, and eager to help shape a growing data function.

    * Demonstrates flexibility and professionalism, especially in high-paced, shifting environments

    DevOps + Release Manager

    Czech Republic, Prague

    • €5,000 to €5,500 EUR
    • DevOps Role
    • Skills: PowerShell, devops
    • Seniority: Senior

    Job description

    The role is a blend of DevOps engineering, Release management and Environment/Infrastructure management. The role contributes to the team's service by leading on release delivery, improving team efficiency and productivity, by way of automation, process improvements, tooling, IT platforms, review and improvement of processes. The role supports BAU work: facilitating releases, release management, CI/CD pipelines and infrastructure management tooling will be in scope. The person will also contribute to managing and optimising both production and non-production non-functional needs, e.g. stability, capacity, reliability, supportability. Strong focus will be on further automation of the build & deployment processes.



    Responsibilities will include:

    * Developing and delivering high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimised for performance.
    * Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
    * Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
    * Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
    * Implementating effective unit testing practices to ensure proper code design, readability, and reliability.



    The successful candidate will have:
    * Experience as a Senior DevOps or Release engineer or similar, with good understanding of CI/CD pipelines
    * Strong experience in a scripting language (preferably Powershell), focused on automation of processes and Windows OS
    * Ability to clearly and effectively communicate on technical issues with both engineers and business users

    Senior Machine Learning Engineer

    USA, Texas, Houston

    • $180,000 to $250,000 USD
    • Engineer Role
    • Skills: Sagemaker, Data Science, Machine Learning, LLMs, NLP, Azure Machine Learning Studio
    • Seniority: Senior

    Job description

    Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



    The organization are looking to add to a data-driven solutions team. Candidates for this role must come with a masters level degree from a field such as Data Science or similarly analytical specialism. An ability to demonstrate a deep understanding and successful track record in the Machine Learning world is essential to be successful in your application for this position. Particularly as it relates to the design, build and deployment of ML models.



    Deep Learning and NLP (Natural Language Processing) are essential requirements for this position, alongside prior experience working hands-on with LLMs (Large Language Models), building advanced systems and RAG pipelines. An ability, and flexibility, of designing/implementing tailored Neural Network architectures that relate to specific situational cases. This all ties in with the organizations overall goal of solving problems and an advancement in it's Automated Intelligence capabilities.



    Experience with Amazon Web Services and tools listed below are required:

    * SageMaker
    * Python
    * SQL
    * Snowflake
    * Big Data Technologies



    This is a role that is best suited to someone who shares the organizations passion for leading the way, and embracing, emerging technology trends such as Machine Learning, GenAI, Natural Language Processing and more in the Cloud space.



    This is a permanent position, based in the organizations Houston office, with a hybrid work policy that requires 3 days per week on site.

    Lead Data Scientist: London

    England, London

    • Negotiable
    • Data Science Role
    • Skills: Azure/Cloud-Native/IaaS/PaaS/SaaS/Docker/Kubernetes
    • Seniority: Senior

    Job description

    We're working up with a growing technology consultancy who specialise in Cyber Security, Data & AI within the public sector space.

    They've had a fantastic 18 months with lots of positive expansion and with this in mind they're looking for Lead Data Scientist to join their Public Sector team delivering to their enterprise clients.

    They'd like you to be the Data Science SME where you'll be responsible for leading e2e customer engagements in both a hands off and hands on capacity.

    The role itself has 2 main parts to it which are important:

    1. A commercial and consulting mindset - being able to explain how, what and why data is working in the way it's working to customers and them understanding your approach

    2. A Data Science Engineering skillset - Experience in areas such as Python, Azure, AWS, CI/CD, IaC, Deployments, Containerisation etc

    In order to be considered for this role, it'd be nice to have some of the following skills:

    * Experience working in a consulting, engineering or data industry
    * A range of skills covering Data Engineering, Data Security & Data Science
    * Experience working with cloud based infrastructure across Azure, AWS & GCP
    * Demonstrable examples of leading projects and mentoring people
    * Strong database experience (GraphQL, SQL, NoSQL & Elasticsearch for example)

    SC Eligibility or SC Clearance is ESSENTIAL for this role!

    If this role is of interest to you or if you know of anyone who'd be suitable for this role please email me on c.garside1@tenthrevolution.com or 0191 300 100.

    AI Engineer

    Norway, Oslo

    • NOK 100,000 to NOK 1,200,000 NOK
    • Engineer Role
    • Skills: MS Business Intelligence, AI, Engineering, Python, CI/CD
    • Seniority: Mid-level

    Job description

    Senior AI Developer/Architect

    Are you passionate about technology, particularly artificial intelligence (AI) and systems development? Do you have experience or a strong understanding of AI, and possibly even knowledge of cloud services like Microsoft Azure or Google Cloud? You might be the person we're looking for!

    They're dedicated to utilizing AI to solve challenges in business and society. We value creativity, user benefit, integrity, and cooperation. If you're interested in developing meaningful solutions and mentoring others to shape the future of AI, you would be a great fit for our team.

    About Us: They are an employee-owned company with a strong focus on social impact. Our mission is to build one of the strongest AI professional environments. They aim to help our customers leverage AI to its fullest potential.

    With offices in several cities, we offer a collaborative environment that extends beyond borders. Our company has a rich history, dating back to 1985, centered around artificial intelligence and machine learning. The demand for our AI expertise is rapidly growing, and we're expanding our team to keep up.

    The Role: They're seeking an experienced senior developer or architect with expertise in AI and system development. This role will involve shaping the direction of our AI department and playing a key part in its growth. Their ideal candidate will see AI as an integral part of a larger technological ecosystem, ready to explore and utilize its full potential.

    Experience and Competence:

    * At least 5 years of relevant experience, with a strong background in both development and architecture.
    * Practical, hands-on experience with AI, particularly in real-world applications.
    * Proven ability to work within multidisciplinary teams on complex technological projects.
    * Strong mentoring and leadership skills, with the ability to guide colleagues and clients in AI and system development.

    Education: A higher education in a relevant field is preferred. While a master's degree is desirable for younger candidates, extensive and relevant experience can substitute for formal education. A background in mathematics or physics can be an advantage, especially if paired with strong programming skills and an eagerness to dive deeper into AI technology.

    Personal Characteristics: They're looking for someone who enjoys engaging with customers, generating new opportunities, and presenting solutions convincingly. The ideal candidate will be dedicated to continuous learning, knowledge sharing, and creating a supportive environment for younger colleagues. A collaborative and positive approach to teamwork is essential.

    Responsibilities:

    * Lead the development and growth of the AI department, working with the team to set the future direction.
    * Participate in professional networks to enhance the AI and systems development culture.
    * Drive AI projects with both new and existing customers, ensuring solutions meet their needs.
    * Support sales processes and customer meetings with technical expertise and business insights.
    * Mentor and guide junior team members, fostering a culture of curiosity and continuous development.

    Why Join Them? As a co-owner of the company, you'll have a direct influence on its future direction. You'll receive shares upon joining, with opportunities for further investment, giving you a voice in the company's success. They value work-life balance and offer a variety of activities to promote team bonding, such as board game evenings, cultural experiences, and sports events. They are committed to your professional growth, offering generous opportunities for training, courses, and skill development. In addition, everyone has access to a technology and skills budget to further enhance their expertise.

    Data Analytics Developer - March 2025

    England, London, City of London

    • £60,000 to £61,000 GBP
    • Engineer Role
    • Skills: Azure, Data Lake, ETL/ELT
    • Seniority: Senior

    Job description

    Data Analytics Developer

    Location: London (Hybrid)
    Type: Permanent | Full-Time

    My client is seeking a talented and driven Data Analytics Developer to join our fast-paced and evolving data team. This is a reporting-first technical role, ideal for someone with a passion for building insightful dashboards, collaborating with senior stakeholders, and working at the forefront of cloud-based data platforms.

    We're looking for someone who thrives in a dynamic, start-up-style environment - adaptable, switched-on, and ready to take ownership of their work while contributing to the development of our growing data ecosystem.

    Key Responsibilities:

    *

    Design, develop, and maintain high-impact dashboards and reports using Power BI
    *

    Work closely with senior stakeholders across UK and US teams to gather requirements and deliver actionable insights
    *

    Collaborate with Data Engineers to support the ongoing enhancement of our cloud-native data platform
    *

    Perform data modelling to support accurate and scalable reporting
    *

    Assist in managing the Power BI environment, including DAX development and workspace administration
    *

    Contribute to ETL processes and data transformation workflows within the Azure Data Platform
    *

    Support the future transition to Google Cloud Platform (GCP) and tools like Looker, gaining exposure to modern data technologies

    Essential Experience:

    *

    Strong expertise in Power BI dashboard/report development and DAX
    *

    Solid experience in SQL / T-SQL for data extraction and transformation
    *

    Hands-on experience with Azure technologies (Data Lake, Data Factory, Synapse, etc.)
    *

    Data modelling experience (star/snowflake schemas, normalization, etc.)
    *

    Familiarity with ETL processes and working alongside Data Engineers
    *

    Excellent communication and stakeholder management skills
    *

    Insurance industry experience (ideally Reinsurance)

    Desirable Experience:

    *

    Exposure to Google Cloud Platform (GCP) and tools like Looker, Domo, or Tableau
    *

    Experience with Salesforce, specifically CRMA reporting
    *

    Broader data engineering or solution architecture exposure

    Why join the team?

    *

    Opportunity to work closely with executive stakeholders and make a real business impact
    *

    Evolving technology landscape with full training in GCP and modern data tools
    *

    A collaborative team environment where no two days are the same
    *

    The chance to grow into a well-rounded data professional, not just a report builder

    This role is ideal for someone who's confident in their Power BI capabilities, thrives in a less structured environment, and is eager to build meaningful data solutions that drive decision-making across the business.

    Interested?
    Apply now to be part of one of the most dynamic data environments in the insurance industry.