Senior Data Mesh Platforms Engineer

Nordea

Gdańsk, Pl-Pm, Poland • 33m ago • On-site

Senior

On-site

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Quick Facts

  • Role: Senior Data Mesh Platforms Engineer

  • Team: Data Mesh and AI Platforms (infrastructure layer)

  • Focus: Reusable, governed data platform capabilities for Data Mesh, analytics, and AI

Description

You will design, implement, and maintain headless data platform capabilities that support Data Mesh principles. You’ll integrate and standardize data ingestion and streaming patterns, build analytical foundations with Iceberg and Snowflake, and enable governed data access via AWS services. You will provision infrastructure with Terraform and support API-based integration layers using Kong, ensuring platform stability, reliability, and compliance in a banking-grade environment.

Responsibilities

  • Design, implement, and maintain headless data platform capabilities for Data Mesh

  • Integrate and standardize ingestion and streaming patterns

  • Build and operate analytical data foundations using Iceberg and Snowflake

  • Enable governed data access using Amazon S3, Lake Formation, and fine-grained policies

  • Support API-based integration layers using Kong

  • Provision infrastructure using Terraform

  • Enable private connectivity using AWS PrivateLink or Google Private Service Connect

Requirements

  • Hands-on experience building modern data platforms

  • Understanding of Data Mesh principles and ability to balance platform evolution with operational stability in a regulated environment

  • Professional experience with Kafka, Iceberg, and Snowflake

  • Professional experience with AWS Glue or Open Catalog

  • Professional experience with AWS and/or GCP data platforms

  • Professional experience with Lake Formation and S3 policies for Iceberg exposure

  • Professional experience with Terraform

Benefits

  • Work in a small, agile team with a mandate to drive impact

  • Contribute to stable, scalable, reusable data platform capabilities in production enabling domain teams to deliver high-quality data products

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