Data Platform Engineer

Your impact as a Data Platform Engineer

The GSDAP team consists of 7 Data (Platform) Engineers managing couple of Data Platforms specific for each support functions (HR, Facility management, IT, Non-Financial Risk). Within the team, you will play a key role in constructing and automating the data platform, as well as developing functional data components. 

To set the foundation of the materialization of NN’s data ambitions, you must be self-directed and comfortable with the complexity of supporting the data needs of multiple teams, systems and products. 

Technologies you will work with

• Our infrastructure runs on MS Azure cloud and we use Terraform as IaC. 

• We use Azure Data Factory for pipelines and orchestration and Databricks for processing and transforming data.

Your role

• Maintain and further enhancing the Data Platforms 

• Understand the needs of your various customers from different units and translate them to modular solutions which are usable by the vast majority

• Enable support functions teams to run successful data and AI projects by providing technical guidance 

• Brainstorm and design solutions to optimize our data platform solution architecture

• Share knowledge in our data engineering community, pair program and collaborate on code together with other data engineers within NN

• Participating in code reviews and ensuring adherence to development standards

• Staying up-to-date with the latest data platform technologies and industry trends

Your profile

• You have 5+ years of relevant software, data and/or platform engineering experience, building platforms which are modular, testable, scalable and easily consumable.

• Have 3+ years hands-on experience on one or more cloud services (Azure/AWS) like: ADF, Data-lake, Delta-lake, Databricks, Key Vaults, BigQuery, Cloud Dataflow, Datapipeline, , etc.

• Experience with Infra as a Code (Terraform, BICEP)

• Experience with Data as Code; version control, small and regular commits, unit tests, CI/CD, packaging, branching etc.

• Demonstrated programming and debugging experience with Python/PySpark, SQL

• Preferably experience with open source projects run with a “build once, deploy often” mindset & Experience or interest in Domain Driven Design.

You are

• Self-directed

• Both pragmatic and methodical with a strong software engineering mindset, and metadata-driven data solution design

• Actively helping the team to achieve flow and achieve the sprint goal.

• Collaborative and proactive about working in our inner source community

• Passionate about automation looking for automating our data products to the highest scale.

What We Offer:

• Home office, 5 weeks of vacation, and 5 annual Well-being days

• 3% employer supplemental pension monthly contribution

• Unlimited budget for your education (hard and soft skills, Language courses)

• Meal contribution, Cafeteria program, monthly home office allowance

• Multisport card, partnership with various companies (Makro, Datart, Sony, Electrolux...)

• iPhone, personal Office 365 License, O2 Family discounts

• Volunteering days to support our community

• Employee referral bonuses to encourage the addition of great new people to the team

• Amazing working space near Anděl

Continue developing
 

We think it is important that you can continue to develop. We give you the space and confidence to grow in your career and as a person. We will help you with:

• Plenty of training and education opportunities in our Learning & Development Centre

• A large (international) data engineering network of colleagues who are happy to share their knowledge with you (Data engineering Guild). 

• The autonomy to determine your own development path

• Flexible work from home policy

At NN we work in a hybrid manner. Partly from home and partly at the office, team members meet digitally, physically or hybrid. You and your team agree on what suits you best. We have set up our offices in such a way that there is a suitable place for every type of work.