Data Engineer

NETCONOMY; Graz; Hybrid; EUR 65,000 - 95,000; Full time

Benefits offered by this job

Flexible Arbeitszeiten

Home Office

Mobility Support

Notebook zur Privatnutzung

Weiterbildung/Mentoring

Firmenevents

Job summary

NETCONOMY sucht einen Data Engineer, der moderne, skalierbare Datenlösungen auf Google Cloud Platform gestaltet und implementiert. Sie arbeiten im Data & AI Team an Architekturen, die Kunden helfen, das volle Potenzial ihrer Daten zu nutzen.

Zu den Aufgaben gehören Aufbau von ETL/ELT-Prozessen, Real-Time-Processing, SQL-Transformations-Werkzeuge, sowie Governance und Optimierung von Pipelines. Gute Englischkenntnisse und Teamfähigkeit sind Voraussetzung.

Qualifications

• Mehr als 3 Jahre praktische Data-Engineering-Erfahrung mit GCP.
• Starke Kenntnisse in BigQuery (SQL, Partitionierung, Cluster, Optimierung) und Dataflow.
• Programmieren in Python mit PySpark/Pandas.
• Experten-Niveau in SQL für komplexe Transformationen und Analysen.
• Erfahrung mit Dataform für modulare SQL-basierte Transformationen.
• Verständnis von Data Warehousing, ETL/ELT, Dimensional Modeling und Data Governance.
• Erfahrung mit API-Integrationen und Streaming-Systemen (Pub/Sub).
• Cloud Composer (Airflow) für Workflow-Orchestrierung.
• Gute Englischkenntnisse (B2) und Teamfähigkeit.

Responsibilities

• Aufbau skalierbarer ETL/ELT-Prozesse zu BigQuery und Cloud Storage.
• Datenaufnahme und Echtzeitverarbeitung mit Dataflow und Pub/Sub.
• Daten-Transformationen mit Dataform, inklusive Versionierung, Tests und Scheduling.
• Effiziente, kostenoptimierte Abfragen in BigQuery (Partitioning, Clustering).
• Orchestrieren komplexer Workflows mit Cloud Composer und Cloud Functions.
• Daten-Governance und Metadaten-Management mit Dataplex.
• Überwachung/Performance-Optimierung von Pipelines via Cloud Monitoring und Logging.
• Zusammenarbeit mit Data Scientists/Analysten zur Bereitstellung von Insights.
• Auf dem neuesten Stand bleiben bei GCP-Daten-Services und Best Practices.

Skills

GCP & Data Engineering

BigQuery

Dataflow

Python

SQL

Dataform

Airflow / Cloud Composer

Pub/Sub

Pandas / PySpark

Looker / BI-Tools

Terraform

Englische Kommunikation (B2)

Agiles Arbeiten

Tools

BigQuery

Python

Dataflow

Dataform

Airflow

Looker/Looker Studio/Power BI

Pub/Sub

Pub/Sub

Terraform

Vertex AI

Pyspark

Job description

Deine Rolle im 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
• 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

Unser Angebot

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: 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.

Technologien und Skills

• Google BigQuery
• Python
• Pandas
• SQL
• Google Cloud Platform
• Terraform
• Power BI
• Airflow
• Pyspark
• Dataform
• Looker
• Vertex AI

Unsere Erwartungen an dich:

Qualifikationen

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

• No Dresscode
• Essenszulage
• Gesundheitsförderung
• Home Office
• Betriebsarzt
• Paten- & Mentor- Programm
• Mitarbeiterparkplatz
• Gute Anbindung
• Fahrradabstellplatz
• Poolcar
• Mitarbeitergeschenke
• Relocation Package
• Notebook zur Privatnutzung
• Tischkicker o. Ä.
• Bildungskarenz/Auszeit
• Team Events
• Tiere willkommen
• Psychische Gesundheitsv.
• Flexible Arbeitszeiten
• Kaffee, Tee o. Ä
• Mitarbeitervergünstigungen
• Frisches Obst
• Verkehrsmittel-Zuschuss
• Handy zur Privatnutzung
• Snacks, Süßigkeiten