Senior Data Architect (GCP) - Data Pipelines & Analytics

GFT Technologies SE; Łódź; On-site; PLN 276,000 - 365,000; Full time

Job summary

GFT Technologies SE in Łódź is seeking an experienced Data Engineer to join a Poland-based team. You will design data pipelines and architectures for analytics, collaborating with stakeholders to ensure scalable, high-quality data solutions across cloud environments.

The role requires 8+ years in data engineering or data architecture, strong SQL, Python, Spark/PySpark, and hands-on experience with GCP tools including BigQuery, Dataflow, and Apache Beam.

Qualifications

• 8+ years of commercial experience as a Data Engineer, Lead Data Engineer, or Data Architect.
• Strong expertise in SQL.
• Strong expertise in Python.
• Strong expertise in Spark or PySpark.
• Experience in data architecture, data quality, metadata management, analytics, and reporting.
• Strong experience with cloud data engineering tools within GCP.
• Knowledge of BigQuery and designing analytical and data warehousing solutions.
• Experience with Apache Beam and Dataflow (batch and streaming).

Responsibilities

• Design and develop data pipelines in both batch and streaming models.
• Design and implement data processing frameworks, templates, and solutions.
• Collaborate closely with business stakeholders and engineering teams.
• Review, refine, and translate business requirements into architectural decisions.
• Drive data quality, metadata management, and governance best practices.
• Participate in the migration of solutions from on-premise environments to Google Cloud.
• Data modeling and collaboration with data architects.
• Automating data processing workflows and implementing DataOps best practices.
• Optimizing the performance and costs of solutions running in cloud environments.

Skills

8+ years experience

SQL

Python

Spark/PySpark

Data architecture

GCP tools

BigQuery

DataFlow/Beam

Tools

BigQuery

Dataflow

Apache Beam

GCP

Job description

GFT Technologies SE in Łódź is seeking an experienced Data Engineer to join a Poland-based team. You will design data pipelines and architectures for analytics, collaborating with stakeholders to ensure scalable, high-quality data solutions across cloud environments.

The role requires 8+ years in data engineering or data architecture, strong SQL, Python, Spark/PySpark, and hands-on experience with GCP tools including BigQuery, Dataflow, and Apache Beam.