Data Lakehouse Engineer

Natobotics; Dublin; Hybrid; EUR 65,000 - 85,000; Part time

Job summary

A tech company is seeking a skilled Data Lakehouse Engineer for a hybrid contract role in Dublin. The position emphasizes designing and optimizing data lakehouse architectures with AWS services and developing data pipelines using Python and PySpark. The ideal candidate will have a deep understanding of data lakehouse principles and experience with CI/CD practices. Join an innovative team and contribute to robust data platforms that prioritize quality and security.

Qualifications

• Strong experience in AWS Data Engineering.
• Solid understanding of data lakehouse architecture principles.
• Familiarity with workflow orchestration tools.

Responsibilities

• Design and implement scalable AWS Data Lakehouse solutions.
• Develop and maintain data pipelines using Python and PySpark.
• Ensure data quality, governance, and security best practices.

Skills

AWS Data Engineering

Python

PySpark

CI/CD pipelines

Terraform

Data quality frameworks

Data security standards

Tools

AWS (S3, EMR, Lambda, IAM, EKS, MWAA)

Apache Iceberg

Job description

Job Title: Data Lakehouse Engineer

Work Type: Hybrid | Contract

Locations: Nenagh / Dublin (Ireland) or Warsaw (Poland)

Role Overview

We are seeking a highly skilled Data Lakehouse Engineer to join our team on a hybrid contract basis. This role focuses on designing, building, and optimizing modern data lakehouse architectures using AWS-native services and open table formats like Apache Iceberg. You will play a key role in enabling scalable, secure, and high-performance data platforms.

Key Responsibilities

• Design and implement scalable AWS Data Lakehouse solutions
• Develop and maintain data pipelines using Python and PySpark
• Work with AWS Services Including: S3, EMR, Lambda, IAM, EKS, MWAA
• Build and manage Apache Iceberg tables for efficient data storage and querying
• Implement CI/CD pipelines for data platform deployments
• Use Terraform for infrastructure as code (IaC)
• Ensure data quality, governance, and security best practices
• Orchestrate workflows and automate data processes
• Collaborate with cross-functional teams including data analysts, scientists, and DevOps engineers

Required Skills & Experience

• Strong experience in AWS Data Engineering

Hands‑On Expertise With

• AWS services: IAM, Lambda, EKS, S3, EMR, MWAA
• Apache Iceberg
• Python & PySpark
• Solid understanding of data lakehouse architecture principles
• Experience with CI/CD pipelines and Terraform
• Knowledge of data quality frameworks and data security standards
• Familiarity with workflow orchestration tools

Preferred Qualifications

• Experience working in hybrid cloud or multi-region environments
• Strong problem‑solving and communication skills
• Ability to work independently in a contract setting