We are an 800+ strong team whose ideas underpin successful exits, IPOs, strong financial results and competitive advantages as well as novel processes, new business models and great user experiences. We focus on e-commerce, mobility, and transport & logistics, while always keeping an eye on emerging segments as well.
We rethink processes, business models and architecture, not to mention tech stacks. This approach opens doors for our people to find their own ways and solutions and bring their own ideas to life, learning and advancing both within and across teams and departments.
We say no to office politics and pointless meetings. We celebrate curiosity, experimentation, and passion beyond code. We are very open to people growing both within and beyond their teams and departments. And this is where we suggest starting today.
As a Data Engineer, you'll dive into challenging data projects. We work with technologies like Snowflake, BigQuery, AirFlow, Airflow, dbt, Power BI, Tableau and others, they stand as the essential link between business and data, tackling daily challenges with innovative solutions. If you're interested in making a direct impact on consulting and project design within a dynamic environment, don't hesitate to apply!
In this role, you will
- Drive the development process for building/scaling Data Warehouses
- Design, develop, and maintain scalable data pipelines, ETL processes
- Implement data governance and ensure data quality and security
- Engage with clients to capture their business needs and define requirements for data warehousing and processes
- Collaborate with cross-functional teams to succeed in complex projects
What you will bring
- Experience in Python and SQL
- Strong technical knowledge and experience in data modeling, ETL processes and data pipelines management
- Knowledge in building and developing Data Warehousing solutions
- Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and their data services
- A hands-on approach, ready to take ownership of your tasks
- Excellent communication skills in both Lithuanian and English, written and spoken
We consider the following experience as advantage
- Experience with Microsoft Azure infrastructure (Data Factory, Synapse Analytics) and SQL Server
What we offer
- A working culture that is high performing, ambitious, collaborative and fun
- Health insurance and a yearly training budget (local and international conferences, language courses), employee-led workshops
- Flexible working hours
- Unlimited WFH (work from home) policy
- Extra vacation days: 2 after working at NFQ for two years and 4 after four years on our team
- Bonus for referrals
- For those who dream of traveling: WFA (work from anywhere) possibilities in NFQ - approved countries
- Office perks and team activities
Salary range: € 3500 - 6500 gross / month
Check all our career opportunities here.
