Data Engineer (f/m/x)

Over the past 25 years, NETCONOMY has grown from a startup into a team of 500 people across 10 European locations. We believe in the power of agile and cross-functional collaboration, bringing together people from diverse backgrounds to build outstanding digital solutions.

As a Data Engineer, you’ll play a key role in building modern, scalable, and high-performance data solutions on Google Cloud Platform (GCP). You’ll be part of our growing Data & AI team, designing and implementing data architectures that help clients unlock the full potential of their data.

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  Building efficient and scalable ETL/ELT processes to ingest, transform, and load data from various structured and unstructured sources (databases, APIs, streaming platforms) into BigQuery and Cloud Storage

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  Implementing data ingestion and real-time processing using Dataflow (Apache Beam) and Pub/Sub for batch and streaming workflows

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  Developing SQL transformation workflows with Dataform, including version control, testing, and automated scheduling with built-in quality assertions

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  Creating efficient, cost-optimized BigQuery queries with proper partitioning, clustering, and denormalization strategies

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  Orchestrating complex workflows using Cloud Composer (Apache Airflow) and Cloud Functions for event-driven data processing

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  Implementing centralized data governance and metadata management using Dataplex with automated cataloging and lineage tracking

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  Monitoring and optimizing data pipelines for performance, scalability, and cost using Cloud Monitoring and Cloud Logging

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  Collaborating with data scientists and analysts to understand data requirements and deliver actionable insights

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  Staying up to date with GCP advancements in data services, BigQuery features, and data engineering best practices