Workplace image NETCONOMY

Data Engineer

NETCONOMY

Job

In this role, you will develop scalable ETL processes, implement data architectures on GCP, and optimize BigQuery queries while orchestrating complex workflows with Dataflow and Cloud Composer.

Job summary

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Job technologies

Your role in the team

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
  • Zusammenarbeit mit Data Scientists und Analysten, um Datenanforderungen zu verstehen und umsetzbare Erkenntnisse zu liefern
  • Staying up to date with GCP advancements in data services, BigQuery features, and data engineering best practices

Our expectations of you

Qualifications

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
  • Vertrautheit mit Infrastructure-as-Code (Terraform) zur Automatisierung der GCP-Ressourcenbereitstellung und 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

Experience

  • 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).
  • Experience integrating data from various APIs and streaming systems (Pub/Sub).
  • Cloud Composer experience for workflow orchestration.
  • Experience with Dataplex for managing metadata, lineage, and data governance.
  • 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.

What we 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 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! 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:Steigern Sie Ihre Produktivität und Ihren Genuss mit unserem monatlichen Essenszuschuss und Rabatten bei Partnerrestaurants.
  • Mobility Support:Choose eco-friendly transportation! As we take our responsibility for the environment seriously, we support your climate-friendly transportation costs.

Benefits

Topics you will work on

Job locations

Map of the job locations
© OpenMapTiles, © OpenStreetMap contributors
  • Location GrazMain location
    Brauquartier 2 , 8055 Graz, Austria
  • Location Pörtschach am Wörther See
    see:PORT; Hauptstraße 204, 9210 Pörtschach, Austria
  • Location Vienna
    Walcherstraße 1A, Austria Campus 6, Stiege 3, 1020 Wien, Austria

About your employer

NETCONOMY

Graz, Madrid, Belgrade, Novi Sad, Pörtschach, Zürich, Wien, Dortmund, Amsterdam, Berlin

NETCONOMY is a leader in designing digital platforms and customer experience innovations, helping companies to identify and successfully capitalize on digital potential. Our flexible, scalable solutions are based on the latest technologies from SAP, Google Cloud, and Microsoft Azure. With over 20 years of experience and nearly 500 experts across Europe, we help our clients increase their innovation power and expand their core businesses into the digital world.

Company size
250+ Employees
Founding year
2000
Language
English
Company type
Digital Agency
Work model
Hybrid
Industry
Internet, IT, Telecommunication

Employer reviews

4.0Total(2 reviews)
Team culture
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4.5
Working conditions
x
4.3
Career growth
x
3.7
Engineering
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3.9
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Data Engineer

NETCONOMY