About the Role
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.
Responsibilities
•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
Requirements
•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
Nice to Have
•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
Conditions
•Flexible working models: start your work day when and where it fits you best
•Hybrid work option: choose whether you prefer working more from the office or from home
•Structured onboarding and mentoring phase, continued with individual training opportunities
•Annual in-house conference with a vibrant networking environment (company Summit)
•Social events such as pizza evenings, sports activities, Christmas parties, and milestone celebrations
•Monthly meal allowance and discounts at partner restaurants
•Support for climate-friendly transportation costs
