Overview
As a leading expert for Digital Platform Building and Customer Experience Innovation, NETCONOMY is shaping the digital leadership of its clients.
We help brands to build flexible and scalable digital platforms, with top‑notch technologies by SAP, Google Cloud and Microsoft Azure.
NETCONOMY has 20 years of experience and employs close to 500 professionals across Europe.
By introducing and driving innovation initiatives around customer experience, we support clients on the road of expanding their core business in the digital world.
Job Title
Data Engineer
Key Responsibilities
* Building efficient and scalable ETL/ELT processes to ingest, transform, and load data from various structured and unstructured sources 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.
Essential Skills
* 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.
Benefits
* Flexible working models: hybrid option and individual flexibility for remote or office work.
* Career development and onboarding: structured onboarding, mentoring, and individual training opportunities.
* Company summit: annual in‑house conference with networking opportunities.
* Social events: pizza evenings, sports activities, Christmas parties, milestone celebrations.
* Snacks and wellbeing: monthly meal allowance and discounts at partner restaurants.
* Mobility support: climate‑friendly transportation support.
Salary
Minimum annual salary for full‑time employment is €55,356 gross per year. Salary depends on qualifications and experience.
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