Data Engineer

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., * 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

• Implementing data ingestion and real-time processing using Dataflow (Apache Beam) and Pub/Sub for batch and streaming workflows
• Developing SQL transformation workflows with Dataform , including version control, testing, and automated scheduling with built-in quality assertions
• Creating efficient, cost-optimized BigQuery queries with proper partitioning, clustering, and denormalization strategies
• Orchestrating complex workflows using Cloud Composer (Apache Airflow) and Cloud Functions for event-driven data processing
• Implementing centralized data governance and metadata management using Dataplex with automated cataloging and lineage tracking
• Monitoring and optimizing data pipelines for performance, scalability, and cost using Cloud Monitoring and Cloud Logging
• Collaborating with data scientists and analysts to understand data requirements and deliver actionable insights
• Staying up to date with GCP advancements in data services, BigQuery features, and data engineering best practices

• 3+ years of hands-on experience as a Data Engineer with proven expertise in Google Cloud Platform (GCP)
• Strong experience with BigQuery (SQL, partitioning, clustering, optimization) and Dataflow (Apache Beam)
• Strong programming skills in Python with experience in data manipulation libraries (PySpark, pandas)
• Expert-level SQL proficiency for complex transformations, optimization, and analysis
• Proficiency with Dataform for modular SQL-based data transformations and data pipeline management
• Solid understanding of data warehousing principles, ETL/ELT processes, dimensional modeling, and data governance
• Experience integrating data from various APIs and streaming systems (Pub/Sub)
• Cloud Composer experience for workflow orchestration
• Excellent communication and collaboration skills in English (min. B2 level)
• Ability to work independently and as part of an agile team

Beneficial Skills:

• Google Professional Data Engineer certification
• Knowledge of BigLake for unified access and management of structured and unstructured data
• Experience with Dataplex for managing metadata, lineage, and data governance
• Familiarity with Infrastructure-as-Code (Terraform) for automating GCP resource provisioning and CI/CD pipelines
• Experience with data visualization tools such as Looker, Looker Studio, or Power BI
• Interest in or experience with machine learning workflows using Vertex AI or similar platforms

At NETCONOMY, we create digital platforms that help global brands become digital leaders. For more than 25 years, we have guided our customers through complex digital transformation journeys, designing intelligent solutions unlock productivity through data and Al and create future-ready business cores. Over 450 professionals across ten European locations make this work possible. What truly defines us is how we work together. Our teams collaborate across locations, with most teamwork happening seamlessly in a remote environment. At the same time, our office locations serve as hubs for in-person exchange and social connection, balanced with the flexibility to also work from home. Not only collaboration but also continuous learning is at the core of our culture. Therefore, we provide diverse development opportunities and evolving career paths across roles and disciplines, empowering our people to learn, develop, and shape their careers in an international environment. Ready to shape the digital future with us? Jump in!