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