Oliver James

About the Company

We introduce talented people to great organisations so that both may grow and benefit from each other’s experiences, helping to fulfil their potential.

We understand that each client’s mix of people, culture, and objectives is unique, so our approach and solutions are flexible and adapted to each person, team, company, and situation.

Although your relationship with OJ is with your local consultant(s), their network, relationships, and knowledge of diverse local candidate pools are backed by those of their local permanent, contract, and temp team colleagues.

When working with international markets, we can access the market maps and relationships of the global OJ collective, giving you access to the best-suited talent in the market (not just the best talent available at that time).

As such, you can come to expect a consistently high level of service and delivery, placing up to C-suite talent in permanent and contract positions, as well as project-based consultancy and temp solutions worldwide from our 12 global locations.

Our current areas of specialisation include:

• Accountancy & Finance
• Technology
• Actuarial
• Risk & Compliance
• Transformation & Change Management
• Underwriting & Claims

Our additional services:

OJ Professionals | Flexible resourcing solutions across secondment, project-based sourcing and temp-to-perm recruitment | https://www.oliverjames.com/professionals

OJ Consulting | Unrivalled access to a network of highly qualified, contracting professionals across the world| https://www.oliverjames.com/consulting

OJ Executive | Specialising in senior, commercial appointments at the forefront of business transformation, technology, digital and data-driven delivery| https://www.oliverjames.com/exec

Work with OJ - https://www.oliverjames.com/work-with-oj

Work for OJ - https://workforus.oliverjames.com/

License number: Oliver James Associates - #63797 | OJ Consulting - #65136 | Astral - #65211

Listed Jobs

Company Name

Oliver James

Job Title

Data engineer AWS

Job Description

Job title: Data Engineer – AWS Role Summary: Design, build, and maintain scalable data pipelines and cloud-based data platforms on AWS, focusing on ETL/ELT workflows with Databricks, and ensuring high data quality, reliability, and performance to support SaaS and CRM analytics. Expactations: - Minimum 3 years of professional data engineering experience. - Proven hands‑on expertise with AWS services (S3, Glue, Redshift, Lambda, EMR, etc.). - Mandatory experience building and optimizing Databricks workflows. - Strong proficiency in Python and SQL for data extraction, transformation, and loading. - Deep knowledge of data warehousing and data lake concepts. - Ability to work with large‑scale structured and unstructured datasets. Key Responsibilities: - Architect and develop end‑to‑end data pipelines on AWS. - Implement and fine‑tune ETL/ELT processes using Databricks. - Ensure data quality, integrity, and performance across all pipelines. - Collaborate with data analysts, scientists, and product teams to support analytics use cases. - Participate in architecture discussions, proposing improvements and scaling strategies. - Mentor and guide junior team members on best practices. Required Skills: - 3+ years as a Data Engineer. - Advanced AWS skillset (S3, Glue, Redshift, Lambda, EMR, etc.). - Databricks expertise (Databricks Runtime, Delta Lake, Spark SQL). - Proficient in Python and SQL; familiarity with PySpark optional. - Experience with data modeling (star/snowflake, dimensional modeling) desirable. - Knowledge of Apache Spark, CI/CD pipelines for data workflows desirable. - Strong problem‑solving and communication skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Software Engineering, Data Engineering, or related field (or equivalent practical experience). - AWS Certified Solutions Architect – Associate or Professional (preferred). - Databricks Certified Data Engineer – Associate (preferred).

Brussels, Belgium

On site

Junior

19-01-2026

Company Name

Oliver James

Job Title

Azure Cloud Engineer - Infrastructure

Job Description

Job Title: Azure Cloud Engineer – Infrastructure Role Summary: Design, build, and manage Azure IaaS/PaaS infrastructure for a specialty insurance client, delivering services via Terraform and IaC while supporting CI/CD and GitOps pipelines. Expectations: 6‑month Inside IR35 contract, hybrid working, proactive operational support, close collaboration with internal stakeholders and third‑party vendors; recent experience with insurance clients required. Key Responsibilities: - Architect and deploy Azure infrastructure using Terraform and IaC. - Integrate and maintain CI/CD pipelines and GitOps workflows. - Provide reactive and proactive operational support for the Azure environment. - Collaborate with development teams, internal stakeholders, and third‑party vendors. - Ensure cloud security and networking best practices are implemented. Required Skills: - Strong hands‑on Azure infrastructure experience. - Proven Terraform and IaC expertise. - Scripting proficiency in PowerShell or equivalent. - Experience with CI/CD pipeline integration. - Knowledge of cloud security and networking concepts. - Minimum of 3 years recent experience working with insurance or specialty insurance clients. Required Education & Certifications: None specified (Azure or related certifications preferred).

London, United kingdom

On site

Junior

22-01-2026

Company Name

Oliver James

Job Title

Solution Architect - EventDriven - LongTerm

Job Description

**Job Title**: Solution Architect – EventDriven – Long Term **Role Summary** Design, document, and guide the implementation of enterprise‑grade .NET and Azure solutions that employ event‑driven architectures. Translate business requirements into scalable, secure, and maintainable system designs, support delivery teams, and provide accurate effort estimates. **Expectations** - Deliver end‑to‑end solution architectures that meet functional and non‑functional requirements. - Translate business needs into clear technical blueprints and documentation. - Provide accurate workload and effort estimates in man‑days. - Mentor and collaborate with engineering teams during implementation. - Measure compliance with security, performance, and availability targets. **Key Responsibilities** - Define and validate solution architectures using .NET, Microsoft Azure, Kafka, and IBM MQ. - Apply Domain‑Driven Design (DDD) principles to modular, maintainable codebases. - Design event‑driven solutions with messaging patterns, queues, and streams. - Produce architecture diagrams, design documents, and architecture reviews. - Estimate effort and resources required for project phases. - Review and guide the implementation of non‑functional requirements (security, performance, availability). - Work closely with business analysts, developers, and operations to align technical solutions with business goals. **Required Skills** - Proven experience as a Solution Architect in complex, enterprise environments. - Deep expertise in C# /.NET Core / .NET 6+ and Microsoft Azure (Compute, Storage, Service Bus, Event Hubs). - Strong practical knowledge of Kafka, IBM MQ, and messaging‑based architectures. - Proficiency in Domain‑Driven Design concepts and patterns. - Demonstrated ability to estimate project effort accurately. - Experience delivering mission‑critical, high‑availability applications. - Excellent written and verbal communication with technical and business stakeholders. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Software Engineering, or related field. - Azure architecture or related certifications (e.g., Azure Solutions Architect Expert, Azure Architect Design) – preferred. ---

Brussels, Belgium

Hybrid

22-01-2026

Company Name

Oliver James

Job Title

Data Quality Analyst - OutsideIR35 - Insurance

Job Description

Job title: Data Quality Analyst – Outside IR35 – Insurance Role summary: Own and govern data quality controls in a complex insurance data environment. Analyze, prioritize and interpret data quality issues, lead root cause analysis, and shape data quality tooling, scoring, and anomaly detection to support business risk appetite. Expectations: Deliver accurate, actionable data quality insights; reduce noise and improve control effectiveness; collaborate with data owners, product and technology teams; drive continuous improvement of data quality governance. Key responsibilities: * Design, implement and refine data quality validation rules across large, complex underwriting, exposure and risk datasets. * Conduct root cause analysis of data quality incidents and recommend rule, education, process, or signal improvements. * Develop data quality scoring metrics and anomaly detection frameworks for cross‑dataset consistency. * Translate data quality findings into clear, actionable recommendations for stakeholders. * Shape the evolution of data quality tooling and processes while working before solutions are fully mature. * Communicate validation logic, thresholds and assumptions to technical and business teams. Required skills: * 5–8+ years’ experience in data quality, governance, risk/control or data operations. * Strong insurance domain knowledge (specialty insurance preferred; P&C acceptable). * Proven ability to work with high‑volume, complex datasets and interpret scaling data quality issues. * Advanced analytical mindset: reasoning about data behaviour, trends, distributions, outliers and anomalies. * Proficient in SQL and/or Python for querying, exploring data patterns and validating proposed controls. * Experience leading root cause analysis and constructive process improvement. Required education & certifications: * Bachelor’s degree in data science, statistics, computer science, or related field (or equivalent practical experience). * Relevant certifications in data quality, governance or analytics (e.g., DAMA‑OBIQ, CQA, or equivalent) preferred.

London, United kingdom

On site

23-01-2026