Data Engineer for ESG Data Platform
IT HUB Prague, Czechia
NN Group
NN Group is an international financial services company active in 11 countries. NN is committed to sustainable value creation for all stakeholders.We are looking for a Data Engineer to join our ESG CDP team at NN to help us design, build, deploy and run the ESG Central Data Platform solution that will deliver ESG (Environment, Society, Governance) metrics for internal and external stakeholders. Reporting on ESG metrics of the asset portfolio of NN is a key component of the reporting needs and obligations at NN. The ESG Central Data Platform delivers the data collection, aggregation and reporting functionality required by many internal and external stakeholders.
What you are going to do
ESG CDP is a solution built on Azure with Azure-native data technologies, primarily Databricks and Data Factory. We are looking for a Data Engineer with 3+ years of hands-on experience with Azure Data Factory and Databricks.
Common activities for the Data Engineer to work on in this position are:
Design, implement and maintain data pipelines using best practices
Write automated unit and regression tests
Build scalable, reusable and future proof data pipelines
Have a close eye on developments in the cloud and data marketplace to apply innovations on our platform
Perform code reviews of other developers
Design and implement data storage layer with Azure Data Lake Storage Gen2
Work on solutions for ingesting batch and streaming data and transform using Databricks Spark notebooks using Delta Lake
Align with colleagues on solution design and architecture
Advice on the use of the features and technologies such as Databricks Unity Catalog which could deliver business benefits
Align with colleagues in different teams on the Product Backlog and Roadmap of the team
Who you are
We are looking for a candidate with the following skills and experience:
3+ years experience working on data solutions as data engineer
3+ years experience in working with Azure data technologies such as Data Factory and Databricks
Multiple years experience working with Python
Hands on experience with PySpark
Knowledge of data engineering concepts and capable of applying this to solution design and architecture
Experience with data modeling
Multiple years experience in working
Fluent in English, both verbal and in writing
Experience working in Agile/Scrum and DevOps teams
We prefer candidates with one or more of the following skills and experience:
Experience in working in the Financial Services industry.
Experience with enterprise software development (Java, C#, …)
What we offer you
Substantial budget for education (conferences, hard and soft skills trainings, language courses)
International team – English use on daily basis
New modern offices near Anděl, but also home office flexibility
5 weeks of vacation, 5 Well-being days
3% employer supplemental pension monthly contribution
Volunteering days to support our community
Meal contribution, Cafeteria program, monthly home office allowance
Multisport card, partnership with various companies (Makro, Datart, Sony, ...)
iPhone, O2 Family discounts
Employee referral bonuses to encourage the addition of great new people to the team
Who you will work with
You will work in a diverse environment with a lot of professionals with strong experience in Finance & Risk and IT. Your colleagues have many different nationalities and English is the default language for meetings and communication. Working at NN in the Finance & Risk domain can be demanding: strict deadlines and hard requirements are common. However, we combine this with the Agile way-of-working (in Agile and DevOps teams), and there is always room for experimentation and ideas for improvements. We celebrate our successes and results, and appreciate the contributions of every individual in the team.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Azure Databricks Data pipelines DevOps Engineering Finance Java Pipelines PySpark Python Scrum Spark Streaming
Perks/benefits: Conferences
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