Data Platform Engineer — Cloud Data Lake & Analytics

Macquarie Group; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

1 wellbeing leave day per year

25 days annual leave

Parental leave

Fertility leave

Volunteer leave

Salary sacrificing options

Wellbeing and insurance

Flexible working arrangements

Home office equipment reimbursement

Job summary

Macquarie Group is seeking a Data Platform Engineer to design, build and optimize a petabyte-scale data platform powered by modern cloud technologies in a hybrid work model. You will manage a Data Lake, ensure secure, scalable environments, and drive performance with AWS tools such as S3, EKS, Glue, Airflow, Trino and Parquet.

The role emphasizes delivering high-performance queries and building robust data infrastructure.

Qualifications

• Experience with Python and cloud tech (AWS preferred).
• Strong background in Data Platforms, Data Lakes/Warehouses, SQL.
• Experience building data pipelines and CI/CD in data space.

Responsibilities

• Design and build a petabyte-scale data platform powered by cloud technologies.
• Manage and enhance a Data Lake and secure, scalable environments for data platforms.
• Leverage AWS tools like S3, EKS, Glue, Airflow, Trino, Parquet and prepare to adopt Iceberg.

Skills

Data platform engineering

DevOps

CI/CD pipelines

Python

AWS

Linux/Unix

SQL

Tools

AWS

EKS

Glue

Airflow

Trino

Parquet

Iceberg

Job description

Macquarie Group is seeking a Data Platform Engineer to design, build and optimize a petabyte-scale data platform powered by modern cloud technologies in a hybrid work model. You will manage a Data Lake, ensure secure, scalable environments, and drive performance with AWS tools such as S3, EKS, Glue, Airflow, Trino and Parquet.

The role emphasizes delivering high-performance queries and building robust data infrastructure.