twentyAI

About the Company

twentyAI has a vision to unite the power of people, data and technology to transform how organisations grow, scale and diversify.
Technology is rapidly evolving, but the talent engagement process hasn't kept up. The challenge is to overcome the increasing complexity of process and compliance whilst still providing a rapid and precise human solution. Many HR tech platforms exist but few can solve these problems. Because recruitment is reliant on people and hiring successfully is immersed in nuance. We are striving to overcome these challenges. twentyAI is powered by data, built for you.

Listed Jobs

Company Name

twentyAI

Job Title

Windows OS Consultant

Job Description

We are seeking an experienced Windows OS Consultant with a strong background in PowerShell automation, Windows Server hardening, and OS templating for both virtual and physical machines. This role involves working within a Scaled Agile team, supporting the development and lifecycle management of enterprise-wide Windows environments.
Key Responsibilities:
Windows Server OS Hardening – Build and maintain secure Windows Server images for VMs (VMware, OpenStack) and physical machines.
PowerShell Automation – Develop advanced scripts for system automation and infrastructure management.
Infrastructure as Code (IaC) – Utilize Puppet, Terraform, and Jenkins for automation and system provisioning.
Active Directory & Identity Management – Maintain and configure Active Directory environments, including security policies and automation.
CI/CD Pipelines – Implement and manage deployment pipelines using Jenkins.
Python Scripting – Develop automation scripts to enhance system management and deployment processes.
Lifecycle Management – Support the ongoing maintenance and evolution of Windows OS within a hybrid cloud infrastructure.
Collaboration & Agile Development – Work in a globally distributed Scaled Agile team with a strong DevOps approach.
Support & Troubleshooting – Provide 24/7 global support as needed, ensuring system reliability and compliance with security standards.
Required Skills & Experience:
Expert in PowerShell scripting – Strong automation skills are mandatory.
Windows Server Expertise – Experience designing and managing Windows Server OS environments.
Infrastructure Automation – Hands-on experience with Puppet, Terraform, and Jenkins.
Active Directory Mastery – Strong knowledge of AD management, security, and automation.
Virtualization Knowledge – Experience with VMware, OpenStack, and hybrid cloud environments.
CI/CD & DevOps – Familiarity with DevOps methodologies and continuous integration.
Python Scripting – Ability to develop Python scripts for automation and infrastructure management.
Nice to Have:
MECM (SCCM) Knowledge – Experience managing Windows environments with Microsoft Endpoint Configuration Manager.
French Language – Fluency is a plus, but English is mandatory.
Work Environment & Location:
Location: Paris (preferred) – Hybrid (50% on-site)
On-Site Days: Monday, Tuesday, and every other Wednesday

Paris, France

On site

01-04-2025

Company Name

twentyAI

Job Title

Head of Data Engineering - Private Markets

Job Description

An exciting opportunity has arisen for an experienced data engineering leader to drive innovation and build a best-in-class data infrastructure at a leading private markets firm. This role will lead a high-performing team in designing and scaling data platforms, with a strong emphasis on Azure Databricks, to enhance investment decision-making and operational efficiency.

The Role

As Head of Data Engineering, you will be responsible for shaping and executing the firm’s data strategy, working closely with stakeholders across technology, investment, and transformation teams. Your expertise in data architecture, cloud platforms, and engineering best practices will be instrumental in building scalable, high-performance data solutions that power analytics and business intelligence.

Key Responsibilities

Lead and develop the data engineering team, fostering a culture of technical excellence and innovation.
Architect and build scalable data pipelines, integrating structured and unstructured data sources to support investment research and reporting.
Drive the firm’s cloud-based data strategy, optimizing data storage, processing, and compute efficiency using Azure Synapse, Databricks, and Spark.
Collaborate with investment and technology teams to develop analytical capabilities, enabling advanced insights and automation.
Monitor emerging data engineering trends, tools, and best practices to keep the firm at the cutting edge of technology.
Define and track key performance indicators (KPIs) to measure the impact of data initiatives.

Requirements

Proven leadership experience in data engineering, data architecture, or analytics, ideally within investment management, financial services, or private markets.
Strong expertise in Azure cloud services, Synapse, Databricks, Spark, and data lake architectures.
Deep understanding of ETL/ELT processes, data modeling, and high-performance data warehousing.
Experience managing large-scale data platforms and optimizing data pipelines for analytics and reporting.
Strong strategic mindset with the ability to translate technical capabilities into business value.
Excellent communication and stakeholder management skills, with the ability to influence senior leadership and drive cross-functional collaboration.

This is a unique opportunity to shape the future of data engineering within a dynamic investment environment. If you’re a forward-thinking data leader with expertise in Synapse, Databricks, and cloud-based data solutions, I’d love to hear from you.

London, United Kingdom

Hybrid

07-04-2025

Company Name

twentyAI

Job Title

Quality Engineer

Job Description

TwentyAI is working with a globally respected financial services organisation as they modernise their technology estate and build out a new suite of middle office tools. As part of this transformation, we’re looking for a QA Engineer to help shape the way testing is done across a complex, fast-moving platform used by trading and risk teams.

The Role:
Develop robust test automation solutions using Python.
Work with engineers and stakeholders to ensure new features and enhancements meet high standards.
Validate data flows and reporting tools with a strong focus on accuracy and consistency.
Build out test frameworks to support APIs, UIs (React), and backend logic (C#).
Contribute to both automated and manual testing, depending on what’s needed to get full coverage.
Help shape the overall testing strategy and encourage best practices across the QA team.
Review code and collaborate on improving testability throughout the development cycle.

The Environment:
Cloud-native setup with Azure, Docker, Kubernetes.
Tech stack includes Python, C#, React, SQL Server, Oracle.
Tooling includes Selenium, TestComplete, Postman, JUnit/NUnit, Git, Octopus, Artifactory.
Agile delivery model with Kanban, CI/CD pipelines, and strong DevOps practices.

About You:
Solid Python scripting experience, especially for test automation.
Confident working across multiple layers of an application – UI, API, data.
Experience with both automated and exploratory/manual testing approaches.
Strong database knowledge (SQL Server and/or Oracle).

Please apply and share CV, I would be happy to cover full details.

London, United Kingdom

On site

07-04-2025

Company Name

twentyAI

Job Title

Data Engineer

Job Description

Freelance Data Engineer (Europe-based)
Contract Type: Freelance
Location: Europe (within CET ±2 preferred)
Duration: 6 months
Start Date: 05/05/2025

About the customer
A legal company reaching across 50+ offices on a global platform, serving some of the world’s leading corporations and financial institutions with comprehensive legal services. c
Currently seeking a freelance Data Engineer to support their data initiatives across the EMEA region.

Project Scope
As a freelance Data Engineer, you'll play a critical role in developing and managing modern data pipelines, ensuring high-quality, secure, and efficient data delivery that empowers data users and supports strategic initiatives across the EMEA region.

Key Responsibilities
Design, develop, and maintain robust data pipelines (ETL/ELT) to ingest, transform, and deliver data across systems and business units.
Implement automated data quality checks to ensure data integrity, accuracy, and completeness.
Optimize workflows and data architecture for performance, scalability, and cost-efficiency.
Contribute to data governance by promoting best practices for data quality, access control, and lifecycle management.
Collaborate with internal SMEs to support analytics, reporting, and machine learning initiatives.
Monitor pipeline performance and proactively resolve data processing bottlenecks.
Document technical solutions and ensure smooth handovers with internal teams.

Requirements
Proven experience as a Data Engineer, ideally in regulated industries such as legal, financial services, or enterprise consulting.
Proficiency in cloud-based data platforms (preferably Azure, Microsoft Fabric, Data Factory).
Hands-on expertise in data modelling, warehousing (Snowflake, Databricks), and orchestration tools (Apache Airflow, Azure Data Factory).
Strong programming skills in Python and/or SQL; experience with R, Scala, or SAS is a plus.
Familiarity with streaming frameworks and big data tools (e.g., Kafka, Spark).
Solid understanding of database technologies (SQL Server, Oracle, MongoDB).
Excellent communication and documentation skills; able to work across teams with varied technical backgrounds.

Nice to Have
Awareness of ITIL processes (Incident, Change, Problem Management).
Experience supporting AI/ML or advanced analytics use cases.
Comfortable working in distributed teams across time zones.

Paris, France

Hybrid

09-04-2025