Analytics Platform Engineer

XpertDirect; Berlin; On-site; EUR 70,000 - 110,000; Full time

Job summary

XpertDirect in Berlin is seeking an Analytics Platform Engineer to design and maintain scalable data infrastructure, transformation workflows, and analytics systems that power reporting, product intelligence, and data-driven applications.

You will work at the intersection of Analytics Engineering, Data Engineering, and Cloud Infrastructure, building reliable data platforms that help engineering, analytics, and product teams access high-quality data efficiently.

Qualifications

• 3+ years in Analytics Engineering, Data Engineering, Data Platform Engineering, or a similar role.
• Data modelling and transformation workflows.
• Experience building and maintaining production data pipelines.
• Understanding of data quality, performance, and reliability.

Responsibilities

• Develop and maintain scalable data infrastructure and analytics systems.
• Support reporting, product intelligence, and data-driven applications.
• Collaborate across Analytics Engineering, Data Engineering, and Cloud Infrastructure.
• Build reliable data platforms that enable teams to access high-quality data efficiently.

Skills

Analytics Engineering

Data Engineering

Data Platform Engineering

Data modelling

Data pipelines

Tools

AWS S3

AWS Glue

AWS Lambda

Docker

GitHub Actions

GitLab CI

Looker

Power BI

Tableau

Kafka

Job description

Our client, a growing B2B SaaS company based in Berlin, is looking for an Analytics Platform Engineer to develop and maintain scalable data infrastructure, transformation workflows, and analytics systems supporting reporting, product intelligence, and data-driven applications.

You’ll work at the intersection of Analytics Engineering, Data Engineering, and Cloud Infrastructure, building reliable data platforms that help engineering, analytics, and product teams access and use high-quality data efficiently.

Core Skills

• 3+ years in Analytics Engineering, Data Engineering, Data Platform Engineering, or a similar role
• Data modelling and transformation workflows
• Experience building and maintaining production data pipelines
• Understanding of data quality, performance, and reliability

Nice to Have

• Data warehousing
• AWS S3 / Glue / Lambda
• Docker
• GitHub Actions / GitLab CI
• Data-quality testing frameworks
• Data lineage and observability
• Looker / Power BI / Tableau
• Product analytics
• Kafka
• Data lake / lakehouse architectures
• Experience supporting analytics platforms in SaaS environments