Data Engineer (Snowflake, Fintech)

About the Project 

Our client is a Swedish fintech company expanding in Poland.

The project focuses on building a strong data foundation that will support data-driven HR strategies and help us unlock the full potential of people data.

Work Mode: Hybrid – 3 days in the Warsaw office  

Job Responsibilities

•  Designing and implementing robust data pipelines to ingest, clean, and process large volumes of HR data from various sources.

• Developing and maintaining data models using tools like DBT to ensure our data is well-structured and accessible for analysis.

• Connecting and integrating data sources using Fivetran, ensuring seamless data flow into our Snowflake data warehouse.

• Building and maintaining data validation and testing frameworks to ensure data quality and reliability.

•  Implementing data governance policies and managing access rights to ensure that sensitive HR data is handled securely and compliantly.

• Collaborating closely with local and international colleagues to align data engineering efforts with broader People Analytics initiatives and HR strategies.

• Automating infrastructure management using Terraform, ensuring scalability and reliability of our data systems.

• Using Git for version control, ensuring that all changes to data pipelines, models, and infrastructure are tracked and managed effectively.

• Dashboard creation in PowerBI, creating insights in dashboards based on the data you operate from systems in snowflake.

  
  

Expectations

Tech stack:

While the below list is extensive, it’s not a prerequisite to know all technologies listed. We value the ability to learn quickly and adapt to new environments:

•  Snowflake for data warehousing

•  DBT for data modeling

•  Fivetran for data integration

•  SQL for querying and managing data

•  PowerBI for supporting new core semantic models

•  Terraform for infrastructure automation

•  Git for version control

•  Data validation frameworks for ensuring data integrity

  
  

Who We Are Looking For

• Min. 5 years of expierience in data engineering, preferably in HR for People Analytics.

• Proven experience in building and managing data pipelines and models using tools like DBT, Fivetran, and Snowflake.

• Solid understanding of data governance, privacy and the sensitivity around handling data, preferably HR related data from systems such as Workday, Greenhouse and Culture Amp.

• Strong collaboration skills to work effectively with colleagues across different geographies and functions.

• A proactive mindset with the ability to work independently and drive initiatives forward.

• Experience in version control using Git and automating infrastructure with Terraform.

  
  

We offer

• Ongoing support from a dedicated agent, taking care of your project continuity, client contact, necessary formalities, work comfort and development

• Consultant Development Program – advice on growth planning based on the latest trends and market needs in IT, including consultations with agents and growth mentors

• Access to 7N Learning & Development – a development and educational platform with webinars, a library of articles and industry reports, and regular invitations to one-time and recurring development events – technical, business, and lifestyle

• Spectacular integration events, both for you (e.g., annual Kick-Off trip, Christmas parties, or Summer Olympics sports events) and for your loved ones (e.g., family picnics, movie premieres)

• Professional development not only during the project – you can get involved in knowledge transfer to others within the 7N Services offering directed at 7N clients

• Relationships and access to the knowledge of the most experienced IT experts in the market – the average professional tenure of our consultants in Poland is over 10 years

• A complete benefits package, including funding for medical care, life insurance, sports cards for you and your loved ones, as well as discounts in stores in Poland and abroad