TL;DR

Senior Data Engineer (Data Science/ML): Designing and implementing scalable, secure, and cost-efficient data solutions on AWS and Snowflake with an accent on data pipelines, automation, and infrastructure-as-code. Focus on building robust data platforms, integrating APIs and microservices, and optimizing data workflows for performance and cost.

Location: Hybrid in London, City of London office presence required

Salary: £70,000–£80,000 with 15% bonus

Company

%hirify_global% is a UK-based company specializing in resourcing and consulting services.

What you will do

Design and implement scalable data solutions using AWS services and Snowflake.
Lead development of data pipelines and analytics platforms ensuring high availability and performance.
Develop reusable libraries, APIs, and infrastructure-as-code components.
Drive automation and CI/CD practices for data workflows.
Collaborate cross-functionally with DevOps, data analysts, and business stakeholders.
Mentor team members and promote engineering best practices.

Requirements

Location: Hybrid with presence in London office
Strong experience with Snowflake and AWS (Glue, Lambda, Redshift, Step Functions, SageMaker).
Proven data engineering skills with advanced SQL and Python programming.
Experience with CI/CD tools and infrastructure-as-code (GitHub Actions, Jenkins, Terraform, CloudFormation).
Good understanding of software engineering principles and reusable component development.
English: B2 level or higher required