Data Engineer (f/m/x)
Over the past 25 years, NETCONOMY has grown from a startup into a team of 450+ experts across ten European locations. We believe in the power of agile and cross-functional collaboration, bringing together people from diverse backgrounds to build outstanding digital solutions.
YOUR JOB
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.
Your job's key responsibilities are:
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
YOUR SKILLS
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
OUR OFFER
While we're one company, each location has unique aspects and benefits. Here's a glimpse of what to expect:
Flexible Working Models: Early bird or night owl? Thanks to our flexible working models, you start your workday when and where it fits you best. Plus, our hybrid work option lets you choose whether you prefer working more from the office or from home.
Career Development and Onboarding: Start your journey at NETCONOMY with a structured onboarding and mentoring phase and continue with individual training opportunities. Our People Enablement team will support you in finding the best solution for you! Find out more here!
Company Summit: Exchange professional and personal experiences at our annual in-house conference! One of the highlights of our company Summit is the vibrant networking environment it cultivates.
Social Events: Join our colleagues and build new connections at our social events such as pizza evenings, sports activities, Christmas parties, or milestone celebrations.
Snacks and Wellbeing: Fuel your productivity and taste buds with our monthly meal allowance and discounts at partner restaurants.
Mobility Support: Choose eco-friendly transportation! As we take our responsibility for the environment seriously, we support your climate-friendly transportation costs.
Skills
- Agile
- AI
- Airflow
- API
- BigQuery
- CI/CD
- Cloud
- Cloud Composer
- Data Engineering
- Data Governance
- Data Ingestion
- Data Pipelines
- Data Visualization
- Data Warehousing
- Dataform
- Dimensional Modeling
- ELT
- ETL
- Event Driven Architecture
- GCP
- Infrastructure as Code
- Looker
- Looker Studio
- Machine Learning
- Metadata Management
- Networking
- pandas
- Pipeline Management
- Power BI
- PySpark
- Python
- SQL
- Terraform
- Version Control
- Vertex AI
- Workflow Orchestration
As published by recruitee · 19 questions · 6 written answers
Basics
Full name, Email, CV, Cover letter, Phone
Short answers (4)
- Where are you currently located?
- Availability / earliest starting date
- What is your expected salary range (EUR net per month)?
- How many years of experience do you have working with Google Cloud Platform (GCP)?
Pick from a list (7)
- What is your preferred work location?
- Our internal guideline (based on our hybrid working model) requires all our colleagues to come to the office at least twice a week. Is it possible for you to comply to this policy?
- Do you have a valid work permit or legal authorization to work in your preferred work location?
- Full-time Employment
- Preferred Language
- How did you find out about us?
- I agree to the Privacy Policy Statement.
Written answers (6)
- Please briefly describe the single most relevant data project you took to production. Please limit this to 2-3 sentences. We'll ask for more details in the interview.
- For that project, please list the key technologies you used: Data Ingestion & Processing: (e.g., Dataflow, Pub/Sub, Cloud Functions, Dataform)
- For that project, please list the key technologies you used: Data Storage & Warehousing: (e.g., BigQuery, BigLake, Cloud Storage)
- For that project, please list the key technologies you used: Orchestration & Automation: (e.g., Cloud Composer, Workflows, Terraform, Cloud Build)
- For that project, please list the key technologies you used: Data Quality & Monitoring (e.g., Cloud Monitoring, Cloud Logging, Dataplex)
- For that project, please list the key technologies you used: Data Visualization (e.g., Looker, Looker Studio, Power BI)
Attachments (2)
- Additional Document (e.g. Work / Residence Permit) optional
- Additional Document (e.g. Educational Degree) optional