We're seeking a Senior Data Engineer to transform our analytics infrastructure from monolithic SQL/PostgreSQL systems into a modern Azure-based data platform. This permanent position focuses on building architecture for long-term evolution, not just migration.

You'll bring 5+ years of data engineering experience with proven expertise implementing enterprise-scale data platforms. You'll architect solutions using modern patterns, establish data pipelines and CI/CD practices, and mentor our team while building systems that evolve with emerging technologies.

We need someone who builds maintainable, scalable, adaptable systems. We're committed to Azure but not wedded to specific products - we value pragmatic solutions based on actual needs.

Structure & Expectations

Reports to: Product organisation - you'll work closely with product teams to align data capabilities with business objectives

Location: London office 3 days per week, remote work rest of the time

Team: You'll be the senior technical lead and engineer for data platform initiatives, working with business analysts, engineers, and product stakeholders

Timeline: Initial focus on migration (6 months), then platform evolution and capability expansion

Core Technical Requirements

Azure Data Platform Architecture

Microsoft Azure data stack expertise (including self-hosting non-Microsoft solutions)

Experience with PostgreSQL and SQL Server, including data replication/integration patterns between them (our current architecture)

Dimensional and relational data modeling expertise

Data Engineering & Pipelines

Required languages: Python and SQL for ELT/ETL pipelines

Batch, streaming, and micro-batching architectures

CDC patterns and incremental load strategies at scale

Experience building ingestion pipelines from diverse external APIs (CRM, analytics, finance, observability tools) to consolidate all organisational data into a unified lakehouse

Infrastructure & Networking

Azure networking and security best practices for enterprise data platforms

Experience with event-driven architectures and API integration patterns

Governance, Compliance & Security

Good understanding and respect of information security requirements

Experience with Microsoft Purview or similar governance frameworks

GDPR/data protection implementation, including right-to-be-forgotten

RBAC, encryption strategies, audit logging

Data lineage and quality enforcement

DevOps & Quality

Test automation for data pipelines (unit, integration, regression)

Monitoring of pipeline runs and errors

Performance tuning and cost optimisation

Experience with git source control

Non-Technical Requirements:

Communication & Documentation

Good technical writing - provide examples

Strong presentation skills for technical and non-technical audiences

Architecture diagrams, data flows, runbooks

What You'll Do

Architect a modern data platform for long-term business evolution

Establish engineering best practices for data, governance, and operations

Build robust batch and real-time processing pipelines (mostly combining a web application's database with various user analytics data sources and other APIs)

Create comprehensive documentation and training materials

Translate business requirements into maintainable technical solutions

Why This Matters

You'll establish the foundation for our data platform's next decade. This new platform will be the engine for our next generation of internal and customer products and will empower our business with real-time insights to make faster, smarter decisions.

Edgefolio Group

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