Senior Data Engineer (f/m/x)

Over the past 20 years, NETCONOMY has grown from a startup to a 500-people team working across 10 European locations. We believe in the power of agile and cross-functional collaboration, bringing together people from various backgrounds to create outstanding digital solutions.

YOUR JOB

As a Senior Data Engineer, you’ll play a key role in building modern, scalable, and high-performance data solutions for our clients. You’ll be part of our growing Data & AI team and work hands-on with leading data platforms, supporting clients in solving complex data challenges.

Your Job’s Key Responsibilities Are:

Designing, developing, and maintaining robust data pipelines using Databricks, Google BigQuery (Dataflow, Dataform or similar), Spark, and Python

Building efficient and scalable ETL/ELT processes to ingest, transform, and load data from various sources (databases, APIs, streaming platforms) into cloud-based data lakes and warehouses

Leveraging ecosystems such as Databricks (SQL, Delta Lake, Workflows, Unity Catalog) or Google BigQuery to deliver reliable and performant data workflows

Integrating with cloud services such as Azure, AWS, or GCP to enable secure, cost-effective data solutions

Contributing to data modeling and architecture decisions to ensure consistency, accessibility, and long-term maintainability of the data landscape

Ensuring data quality through validation processes and adherence to data governance policies

Collaborating with data scientists and analysts to understand data needs and deliver actionable solutions

Staying up to date with advancements in data engineering and cloud technologies to continuously improve our tools and approaches

YOUR SKILLS

Essential Skills:

3+ years of hands-on experience as a Data Engineer working with either Databricks or Google BigQuery (or both), along with Apache Spark

Strong programming skills in Python, with experience in data manipulation libraries (e.g., PySpark, Spark SQL)

Solid understanding of data warehousing principles, ETL/ELT processes, data modeling and techniques, and database systems

Proven experience with at least one major cloud platform (Azure, AWS, or GCP)

Excellent SQL proficiency for data querying, transformation, and analysis

Excellent communication and collaboration skills in English

Ability to work independently as well as part of a team in an agile environment

Beneficial Skills:

Understanding of data governance, data quality, and compliance best practices

Experience with working in multi-cloud environments

Familiarity with DevOps, Infrastructure-as-Code (e.g., Terraform), and CI/CD pipelines

Interest or experience with machine learning or AI technologies

Experience with data visualization tools such as Power BI or Looker

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 & Onboarding: Start your journey in NETCONOMY with a structured onboarding and mentoring phase and continue with individual training opportunities. Our Learning & Development 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 your colleagues and build new connections at our social events like pizza & games evenings, hiking, and Christmas party, and celebrate milestones together. It´s on us!

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.