Senior Data Engineer London ·

The Edgefolio Group; London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

A dynamic firm seeks a Senior Data Engineer to innovate their data infrastructure into a modern Azure-based platform. This permanent role involves architecting solutions, establishing data pipelines, and mentoring the engineering team. If you have extensive experience in data engineering and a good grasp of Azure technologies, this position offers the chance to shape the company's data strategy and empower decision-making through real-time insights.

Qualifications

• 5+ years of data engineering experience.
• Expertise in modern data platforms and architectures.
• Strong communication and technical writing skills.

Responsibilities

• Architect a modern data platform for long-term evolution.
• Establish best practices for data governance and operations.
• Build robust processing pipelines and documentation.

Skills

Data Engineering

Azure Data Platform

Python

SQL

Data Modeling

Tools

PostgreSQL

SQL Server

Microsoft Purview

Job description

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.