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Key Responsibilities

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  Design, build, and maintain scalable data pipelines using GCP-native services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Cloud Storage (GCS).
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  Support the end-to-end data lifecycle - from ingestion and transformation to modelling and serving - optimised for performance and cost-efficiency.
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  Collaborate closely with stakeholders across data science, analytics, engineering, and operations to align data capabilities with business needs.
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  Drive automation and CI/CD for data workflows using Infrastructure-as-Code tools (e.g., Terraform, Deployment Manager) and DevOps practices.
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  Implement data governance frameworks including metadata management, lineage tracking, role-based access control, and data quality monitoring using tools such as GCP Data Catalog.
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  Contribute to a hybrid cloud data architecture, integrating GCP with other platforms (e.g., Azure) where needed.
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  Ensure compliance with data privacy and regulatory standards (e.g., GDPR), in collaboration with security and compliance teams.

Key Skills and Experience

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  Strong hands-on experience with Google Cloud Platform, including:
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    BigQuery, Dataflow, Cloud Composer, Pub/Sub, Cloud Storage, IAM
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  Experience with ETL/ELT design, orchestration, and real-time or batch processing in GCP environments.
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  Proficiency in Python or PowerShell for scripting and pipeline automation.
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  Knowledge of Infrastructure-as-Code (e.g., Terraform) and experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions).
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  Familiarity with cloud monitoring, logging, and cost optimisation tools such as Stackdriver and Cloud Monitoring.
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  Experience implementing data governance and security best practices (e.g., RBAC, encryption, auditing).
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  Solid understanding of data modelling, data warehousing, and analytics integration.
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  Experience integrating with visualisation platforms such as Looker, Tableau, Power BI, or Domo.
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  Insurance industry data knowledge (e.g., policies, premiums, claims) is beneficial but not required.

The Ideal Candidate

What's on Offer

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  A key role in building and scaling a modern GCP-based data platform.
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  Work with a high-calibre team in a rapidly growing firm with ambitious tech and data goals.
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  Competitive salary and benefits.
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  Flexible working options (hybrid within the UK).

Data Engineer - Hybrid (London-Based)

Role Overview

Key Responsibilities

• Build and maintain scalable ETL/ELT pipelines.
• Design data models and schemas to support analytics and reporting.
• Integrate data from APIs, internal systems, and streaming sources.
• Monitor and ensure data quality and availability.
• Collaborate with analysts, engineers, and stakeholders to deliver clean datasets.
• Optimise data architecture for performance and reliability.
• Share best practices and contribute to team knowledge.

Required Skills

• 3+ years in a data engineering role.
• Proficient in SQL and Python.
• Strong experience with AWS services (e.g., Lambda, Glue, Redshift, S3).
• Solid understanding of data warehousing and modelling: star/snowflake schema
• Familiarity with Git, CI/CD pipelines, and containerisation (e.g., Docker).
• Ability to troubleshoot BI tool connections (e.g., Power BI).

Desirable Skills

• Experience with Infrastructure as Code (e.g., CloudFormation).

• Design and develop BI solutions using Microsoft Fabric and related technologies.
• Build and manage data pipelines leveraging Data Factory.
• Develop semantic models in Power BI
• Collaborate with data architects, analysts, and stakeholders to deliver actionable insights.
• Optimise data models for performance and reusability.
• Support governance, security, and compliance best practices.

• Deliver scalable Azure-based data platforms, including Data Warehouses and reporting tools.
• Provide technical support and manage a modern technology stack (Azure Synapse, SSIS, SQL, Data Lake).
• Assist with migration and reconciliation of data from legacy systems or acquisitions.
• Act as a hands-on Data Engineer across the full stack.

• Strong expertise in SQL, Power BI, and cloud platforms.
• Experience with Microsoft Fabric
• Excellent communication skills to engage with technical and non-technical teams.

• Work with cutting-edge technologies in a modern data platform environment.
• Be part of a collaborative team driving innovation and insight.
• Competitive salary and benefits package.

• Remote Working,
• 28 Days Holiday, Plus Bank Holiday
• Bonus Scheme,
• Private Medical Health
• Pension Scheme
• And More...

• Strategic Leadership - Define and execute the AI innovation roadmap aligned with financial business goals.
• Solution Development - Lead the design and implementation of generative AI applications across risk, compliance, trading, and customer experience.
• Team Building - Scale and mentor a multidisciplinary AI team with expertise in LLMs, DRL, and generative models.
• Client Engagement - Act as a trusted advisor, translating complex AI capabilities into business value for stakeholders.

• Proven experience in AI leadership roles within financial services (Banking, Capital Markets, Insurance).
• Deep technical expertise in generative AI (LLMs, Transformers, GANs, Diffusion Models).
• Strong understanding of financial use cases: fraud detection, algorithmic trading, regulatory tech, and personalisation.
• Experience with cloud-native AI platforms (Azure, AWS, GCP) and frameworks (PyTorch, TensorFlow).
• Exceptional stakeholder management and communication skills.
• Track record of building and scaling high-performing AI teams.

• Lead pre-sales and solution design for banking clients.
• Engage with C-level stakeholders and shape transformation roadmaps.
• Architect cloud/data solutions using Azure, AWS, GCP, Databricks, Snowflake.

• Vast experience in BI/DW/Analytics, including 4+ years in pre-sales.
• Banking transformation experience (reg reporting, finance/data modernisation).