TL;DR

Lead Data Engineer (Data Pipelines): Building data pipelines and data lake within an Agile team, ensuring adherence to regulatory requirements and industry standards related to data privacy and security. Focus on technology roadmaps and codebase/technical application ownership.

Location: Hybrid in Nottingham

Company

%hirify_global% is a global data and technology company, powering opportunities for people and businesses around the world.

What you will do

Work in an outstanding Agile technical team.
Build data pipelines and data lake.
Deliver quality software.
Collaborate with the risk, security, and compliance teams to ensure adherence to regulatory requirements and industry standards related to data privacy and security.
Understand overlapping technical requirements and help build out technology roadmaps.
Codebase and technical application ownership.

Requirements

Lead Engineering experience at a large organization.
DevOps & IaC tooling experience: Terraform, CI/CD pipelines, Git, Jenkins.
Strong experience developing on Apache Spark/Hadoop.
Significant knowledge of AWS cloud services including AWS Glue, S3, StepStrong.
Experience building data pipelines and Data Lake.
Significant experience of programming using Scala or Python.
Configuration as code principles and API integration.
Ability to analyze, investigate, and compare large data sets when required.
Experience with automated testing methodologies.

Culture & Benefits

Hybrid and flexible working.
Great compensation package and discretionary bonus plan.
Core benefits include pension, Bupa healthcare, sharesave scheme and more.
25 days annual leave with 8 bank holidays and 3 volunteering days; option to purchase additional annual leave.
DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering focused culture.