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Data/AI Engineer - Wealth Labs

Data Engineer (Azure Databricks & AI) | WealthLab

Overview

We're hiring a Data Engineer to join a greenfield Wealth Management platform, helping build the next generation of AI-enabled products and data solutions from the ground up.

This role is ideal for a hands-on engineer with deep Azure and Databricks expertise, strong data engineering fundamentals, and exposure to modern AI technologies. You'll work closely with Product, Business Analysis, Data, Architecture, and AI teams to deliver scalable data platforms, intelligent workflows, and AI-powered solutions.

Key Responsibilities

  • Design, develop, and maintain enterprise-scale data pipelines using Azure Databricks, Python, and PySpark.
  • Build and optimise ETL/ELT frameworks, data workflows, and processing solutions.
  • Develop AI-ready data foundations to support GenAI, RAG, and intelligent automation initiatives.
  • Build, deploy, and support Databricks jobs, workflows, and data products.
  • Work with structured and unstructured data across complex enterprise environments.
  • Partner with Data Scientists, AI Engineers, Product teams, and Business Analysts to deliver business-focused solutions.
  • Support data governance, quality, lineage, and security requirements using tools such as Unity Catalog.
  • Contribute to the design and delivery of Databricks AI capabilities, Agents, Models, Experiments, and AI workflows.

Essential Requirements

Data Engineering

  • Strong hands-on experience with Azure Databricks.
  • Advanced Python and PySpark development skills.
  • Experience building and maintaining enterprise ETL/ELT pipelines.
  • Strong understanding of data management, data profiling, and data architecture.
  • Experience building, scheduling, and supporting data pipelines and jobs.
  • Ability to troubleshoot, optimise, and support production data solutions.

AI & Databricks

  • Exposure to AI/ML initiatives within Databricks.
  • Experience building or supporting RAG (Retrieval-Augmented Generation) pipelines.
  • Experience working with Databricks AI capabilities, including Agents, Models, Experiments, Playground, or similar tooling.
  • Understanding of how AI solutions work under the hood, not just how to consume them.

Industry Experience

  • Banking, Wealth Management, or Financial Services experience highly preferred.
  • Experience operating within large enterprise environments.

Nice to Have

  • LangChain or LangGraph experience.
  • AI Agent or Agentic AI development experience.
  • OpenShift, Kubernetes, or containerisation technologies.
  • FastAPI, Angular, or web application development experience.
  • Experience building AI-enabled workflows and intelligent automation solutions.
Opportunity Type: Contract
Job published: 10-09-2026
Job ID: 223178
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DevOps Engineer (FX & Rates)

An exciting opportunity has arisen for a Senior DevOps Engineer to join a Front Office Financial Markets technology team supporting critical electronic trading and pricing platforms within a global banking environment.

Working at the heart of a low-latency, business critical trading ecosystem, you'll collaborate directly with Quant Developers, Front Office stakeholders, engineering teams and infrastructure specialists to drive platform reliability, automation and continuous improvement.

This position offers exposure to major transformation programmes including platform modernisation, DevOps evolution, new trading capabilities and large-scale data centre migration initiatives.

 

Key Responsibilities;

DevOps & Platform Engineering

  • Support and enhance mission-critical electronic trading platforms.

  • Design, build and improve CI/CD pipelines and deployment processes.

  • Develop automation solutions for application deployment and operational activities.

  • Manage software delivery from source control through to production deployment.

  • Partner with development teams to implement DevOps best practices.

Operational Excellence

  • Perform advanced troubleshooting and root cause analysis.

  • Investigate production, infrastructure and performance-related issues.

  • Enhance monitoring, observability and platform stability.

  • Drive automation initiatives to improve operational efficiency.

Project Delivery

  • Support platform modernisation programmes.

  • Contribute to strategic infrastructure transformation initiatives.

  • Participate in major data centre migration projects.

  • Work on new development and quant-led technology initiatives.

Stakeholder Interaction

  • Engage directly with Front Office users, Quant Developers and engineering teams.

  • Translate business challenges into practical technical solutions.

  • Provide technical recommendations and challenge assumptions where appropriate.

  • Build strong relationships across business and technology teams.

Required Skills & Experience

Essential

  • Strong DevOps or Platform Engineering experience.

  • Linux / Unix administration and troubleshooting expertise.

  • CI/CD pipeline design, implementation and support.

  • Azure DevOps (ADO).

  • YAML pipeline development.

  • Scripting experience using Python, Shell or Bash.

  • Ansible, Puppet or similar automation/configuration management tools.

  • Production support and incident investigation experience.

  • Root cause analysis and problem-solving capability.

  • Jenkins, Git, Jira and Confluence.

  • Release and deployment management experience.

  • Strong understanding of on-premise infrastructure environments.

Desirable

  • Financial Markets, Investment Banking or Electronic Trading experience.

  • Experience working with Quantitative Development teams.

  • Low latency systems knowledge.

  • Azure and/or AWS exposure.

  • Monitoring tools such as Splunk, ELK Stack or Prometheus.

  • Data centre migration experience.

  • Background in SRE, Production Support or Infrastructure Engineering.

     

 

Opportunity Type: Resource Augmentation
Job published: 10-09-2026
Job ID: 216569
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