Senior Data Engineer

Datatech Analytics; City Of London; Hybrid; GBP 65,000 - 75,000; Full time

Job summary

A tech-focused SaaS company is looking for a Senior Data Engineer to design and automate data pipelines. This hands-on role requires expertise in SQL and Python, as well as familiarity with cloud platforms like Azure and AWS. The position offers hybrid work with a collaborative environment where you can shape the foundation of their AI platform, ensuring the delivery of high-quality data products.

Qualifications

• At least three years of experience in data engineering or cloud platform development.
• Experience deploying and supporting productionised ML models.
• Strong understanding of orchestration and workflow tools.

Responsibilities

• Design cloud native pipelines and refine deployment processes.
• Build and optimise ETL and ELT pipelines across various platforms.
• Mentor engineers and promote a clean engineering culture.

Skills

Strong SQL

Python

Data modelling

DevOps principles

CI/CD tooling

Tools

Azure

AWS

GCP

Snowflake

Databricks

Job description

Senior Data Engineer

Location: London, hybrid - Monday to Wednesday in the office

Salary: £65,000 to £75,000 depending on experience

Job Reference: J13026

An AI first SaaS company is searching for a Senior Data Engineer to help scale its growing data and AI platform. They turn complex first party data into clean, reliable and high value insights that power real decisions for clients across multiple sectors. With strong growth underway, they are expanding the team and want someone who thrives on building, automating and productionising data and machine learning pipelines at speed.

The Role

This is a hands on engineering role where you will design cloud native pipelines, refine deployment processes and strengthen the reliability of the entire platform. You will collaborate closely with Delivery Directors, Product Managers, and AI Engineers to support the deployment of production ready models and help the team deliver high performing and trustworthy data products.

You will

• Build and optimise ETL and ELT pipelines across Azure, AWS, GCP, Snowflake or Databricks
• Lead CI and CD automation, environment management and production deployments
• Deliver and maintain workflows that integrate live ML model outputs
• Create monitoring, alerting and data quality checks that ensure accuracy and trust
• Mentor engineers and promote a clean, modern engineering culture

Experience Required

• At least three years of experience in data engineering or cloud platform development
• Strong SQL and Python
• Familiarity with DevOps principles and CI and CD tooling
• Experience deploying and supporting productionised ML models
• Strong understanding of data modelling, orchestration and workflow tools
• A proactive mindset with a desire to improve data and platform processes

The Opportunity

• Shape the data foundations of a next generation AI platform
• Join a fast paced and highly collaborative engineering environment
• See the immediate impact of your work across products and clients

If you are excited by ownership, fast paced delivery and the chance to build something meaningful, we want to hear from you!

Please note that sponsorship is not available for this role now or in the future.