Data Engineer (f/m/x)

Netconomy; Pörtschach am Wörther See; Hybrid; EUR 50,000 - 61,000; Full time

Benefits offered by this job

Flexible working models

Onboarding & mentoring

Company summit

Social events

Snacks & wellbeing

Mobility support

Job summary

NETCONOMY in Austria is seeking a Data Engineer to build modern, scalable data solutions on Google Cloud Platform. You’ll join our Data & AI team to design architectures that unlock the full potential of client data and deliver insights that drive decisions.

Responsibilities include building ETL/ELT pipelines to ingest data into BigQuery and Cloud Storage, implementing Dataflow, Dataform, Airflow, and Dataplex for governance, and collaborating with data scientists and analysts in an agile setup.

Qualifications

• 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.

Responsibilities

• Building efficient and scalable ETL/ELT processes to ingest, transform, and load data from various 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 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.

Skills

GCP (Google Cloud Platform)

BigQuery

Python

SQL

Dataflow / Apache Beam

Data governance concepts

Airflow / Cloud Composer

Tools

Dataform

Dataplex

Pub/Sub

Cloud Storage

Looker/BI tools

Job description

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

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.

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.