Data Engineer

Norton Blake; Deutschland; Hybrid; EUR 96,000 - 126,000; Full time

Job summary

Talantir is seeking a Senior Data Engineer to design and optimize data pipelines on Google Cloud Platform, focusing on BigQuery as the core data warehouse and enabling analytics via MicroStrategy.

You'll build scalable ETL/ELT workflows, implement reliable data ingestion for structured and semi-structured data, and collaborate with analytics and BI teams to empower reporting and insights in a modern data platform. This contract role offers remote work with regular in-person days in Hamburg.

Qualifications

• Proven experience with Google Cloud Platform (GCP).
• Hands-on expertise with BigQuery for data warehousing and performance optimisation.
• Experience integrating or supporting MicroStrategy analytics environments.
• Strong experience building ETL / ELT pipelines in modern data platforms.

Responsibilities

• Design, build and maintain scalable ETL / ELT data pipelines on Google Cloud Platform (GCP).
• Develop and optimise data workflows using BigQuery as the core data warehouse.
• Support MicroStrategy reporting and analytics environments connected to BigQuery.
• Implement reliable data ingestion frameworks for structured and semi-structured datasets.
• Work closely with data modelling, analytics, and BI teams to enable reporting use cases.
• Automate data workflows, orchestration, and deployment processes.

Skills

GCP

BigQuery

MicroStrategy

ETL/ELT pipelines

Data modelling

Workflow orchestration

Tools

Airflow

Job description

Senior Data Engineer BigQuery & MicroStrategy (GCP)

• Role: Contract
• Duration: Initially 6 months
• Rate: Circa 600 euro’s per day
• Location: Remote with 2/3 days needed in Hamburg a month

A global organisation is looking for a Senior Data Engineer with strong Google Cloud Platform experience to support the build and optimisation of a modern data platform. This role will focus on BigQuery based data pipelines and enabling analytics through MicroStrategy, working within a scalable GCP environment.

You will play a key role in designing, building, and optimising data pipelines and data models, ensuring that analytics teams can efficiently consume high-quality, reliable data.

Key Responsibilities

• Design, build and maintain scalable ETL / ELT data pipelines on Google Cloud Platform (GCP)
• Develop and optimise data workflows using BigQuery as the core data warehouse
• Support MicroStrategy reporting and analytics environments connected to BigQuery
• Implement reliable data ingestion frameworks for structured and semi-structured datasets
• Work closely with data modelling, analytics, and BI teams to enable reporting use cases
• Automate data workflows, orchestration, and deployment processes

Key Requirements

• Proven experience working with Google Cloud Platform (GCP)
• Hands-on expertise with BigQuery for data warehousing and performance optimisation
• Experience integrating or supporting MicroStrategy analytics environments
• Strong experience building ETL / ELT pipelines in modern data platforms
• Experience with workflow orchestration and pipeline automation tools
• Strong understanding of modern data architectures (data warehouse / Lakehouse)