Senior Data Engineering Developer

Posted 7 Hours Ago
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Praha, Hlavní město Praha
Senior level
Fintech • Payments • Financial Services
The Role
The Senior Data Engineering Developer will design, develop, and maintain data pipelines and ETL processes, utilizing tools like Databricks and Azure Data Factory. Responsibilities include implementing Data Vault architectures, optimizing SQL queries for data extraction, performing data modeling, and ensuring data quality. Mentorship of junior team members is also key.
Summary Generated by Built In

We are seeking a highly skilled and experienced Senior Data Engineering Developer to join our dynamic team. The ideal candidate will have a strong background in data engineering, with expertise in SQL, ETL processes, Databricks, Azure DevOps, Data Vault, Business Vault, Azure Data Factory (ADF), data transformation, data modeling, data analysis, and developing data marts.

Your main responsibilities:

  • Design, develop, and maintain robust data pipelines and ETL processes.
  • Utilize Databricks and Azure Data Factory (ADF) for data integration and transformation.
  • Implement and manage Data Vault and Business Vault architectures.
  • Develop and optimize SQL queries for data extraction and analysis.
  • Perform data modeling and create data marts to support business intelligence and analytics.
  • Collaborate with cross-functional teams to understand data requirements and deliver solutions.
  • Ensure data quality, integrity, and security across all data processes.
  • Provide technical guidance and mentorship to junior data engineers.

Must haves:

  • Proficiency in SQL and ETL processes.
  • Hands-on experience with Databricks and Azure DevOps.
  • Strong knowledge of Data Vault and Business Vault methodologies.
  • Expertise in Azure Data Factory (ADF) and data transformation techniques.
  • Solid understanding of data modeling and data analysis.
  • Proven experience in developing data marts and reports

Nice to haves:

  • Experience with Master Data Management (MDM).
  • Familiarity with GenAI on Databricks and machine learning concepts.
  • Knowledge of finance and insurance domains.
  • Strong business analysis and stakeholder management skills.
  • Exposure to IFRS 17 reporting is a plus but not mandatory.

We offer:

  • Be a part of the newly built international team
  • 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, 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

Top Skills

SQL
The Company
Zuid-Holland
21,409 Employees
On-site Workplace

What We Do

NN Group is an international financial services company, active in 11 countries, with a strong presence in a number of European countries and Japan. Our roots lie in the Netherlands, with a rich history of more than 175 years.

With our 16,000 employees, NN Group provides retirement services, pensions, insurance, banking and investments to approximately 19 million customers. NN Group includes Nationale-Nederlanden, NN, ABN AMRO Insurance, Movir, AZL, BeFrank, OHRA and Woonnu.

NN Group opened for trading on 2 July 2014 on Euronext Amsterdam under the symbol ‘NN’ after its initial public offering (IPO).

For more than 175 years, our company has merged, grown and changed, but the core of who we are has remained the same. At NN Group, we put our resources, expertise, and networks to use for the well-being of our customers, the advancement of our communities, the preservation of our planet, and for the promotion of a stable, inclusive, and sustainable economy.

Our purpose is to help people care for what matters most to them. Because what matters to them matters to us.

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