Data Engineer (f/m/x), Pörtschach am Wörther See
Data Engineer (f/m/x), Pörtschach am Wörther See
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9210 Pörtschach am Wörther See, Österreich
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Aufgegeben: vor weniger als einer Woche
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Merken
Anzeigentext
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.
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.
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
Flexible Working Models: Early bird or night owl? Thanks to our flexible working models, you start your work day 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 in 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!
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.
The actual salary depends on your qualifications and experience. What is also important to us is to pay our employees an internally comparable salary. For legal reasons, we need to disclose the minimum annual salary for full time employment as stated in the current collective IT agreement, which is€ 55.356 gross / year for this position.
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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.
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
Flexible Working Models: Early bird or night owl? Thanks to our flexible working models, you start your work day 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 in 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!
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.
The actual salary depends on your qualifications and experience. What is also important to us is to pay our employees an internally comparable salary. For legal reasons, we need to disclose the minimum annual salary for full time employment as stated in the current collective IT agreement, which is€ 55.356 gross / year for this position.
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Highlights
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FirmennameNetconomy
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JobtitelData Engineer (f/m/x)
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