Principal Software Engineer

Morson Group

Charing Cross, United Kingdom

2 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Job location

Charing Cross, United Kingdom

Tech stack

Artificial Intelligence

Amazon Web Services (AWS)

Apache HTTP Server

Azure

Google BigQuery

C Sharp (Programming Language)

Cloud Computing

Cloud Storage

Computer Programming

Continuous Integration

Data as a Services

Data Architecture

Information Engineering

Data Governance

Data Infrastructure

DevOps

Fault Tolerance

Systems Analysis

Python

Machine Learning

Meta-Data Management

Systems Development Life Cycle

Power BI

Mixpanel

Azure

Software Engineering

SQL Databases

Privacy Controls

Scripting (Bash/Python/Go/Ruby)

Google Cloud Platform

Large Language Models

Spark

Data Strategy

Cloudformation

Data Lake

Collibra

Amazon Web Services (AWS)

Kafka

Data Management

Amazon Web Services (AWS)

Terraform

Azure

Databricks

Job description

A Global Media organisation is looking for a Principal Software Engineer to help provide strategic and technical leadership in the design, development, and governance of their enterprise-scale data infrastructure. This includes architecting and overseeing Data Lakes, Pipelines, and Data Products, ensuring solutions are scalable, secure, fault-tolerant, and high-performing. You will collaborate closely with multiple engineering teams and business stakeholders to align data engineering initiatives with enterprise data strategy and business goals. Your role will involve evaluating emerging technologies, driving automation and CI/CD practices, and implementing robust data governance, security, and privacy controls compliant with regulations such as GDPR. You will lead cross-functional teams, mentor engineers, and promote best practices in data modelling, quality, lineage, and observability.

This opportunity will also leverage AI and large language models to enhance data products and productivity which is why you will need a deep understanding of modern cloud-native data platforms, data mesh principles, and full software development lifecycle (SDLC) expertise, including system analysis, design, coding, integration, testing, and operations.

Requirements

Enterprise data architecture and design (Data Lakes, Data Mesh, domain-oriented ownership)
Data engineering and pipeline development (batch and Real Time processing)
Cloud-native data services and infrastructure-as-code (AWS, Azure, GCP, Terraform, CloudFormation)
Programming and Scripting (Python, SQL, C#)
Data governance, metadata management, and compliance (GDPR, data cataloguing tools)
AI and machine learning integration in data engineering
Software development lifecycle (SDLC) expertise including quality assurance and delivery
CI/CD and DevOps practices for data workflows
Monitoring, alerting, and incident response for data infrastructure
Leadership and mentoring of cross-functional engineering teams

Software/Tools: