Data Engineer

Job description

Location: Vilnius


Position overview


Infare is the leading provider of competitor air travel data that empowers airlines to make effective pricing decisions. Our mission is to fuel airline systems with high-quality competitor air travel data delivered daily, multiple times a day or live. For airlines demanding the very highest quality competitor air travel data as a critical piece in driving revenue growth, Infare is the partner of choice.

We are a growing and profitable travel technology company with a global footprint. With headquarters in Copenhagen, we also have offices in Berlin, Nice and Vilnius, and remote colleagues spread across the globe for customers’ proximity.

We take pride in delivering products and services with the highest quantity and quality of data. We do so by innovating and leveraging the latest technologies. We care for our people, offering personal growth, equal opportunities, and an excellent work-life balance.

Data Quality and Analytics team is looking for a data-loving person who could help us accelerate providing insights and clarity to all Infare’s departments. The team is responsible for facilitating both real time and batch data needed for business decisions and indicate areas of improvement. In Infare we collect 2 billion flight ticket records and our team process 200 million analytical rows on daily basis. Our team consists of Data Engineers and a Data Analyst.

We are preparing to move our Data Analytics pipeline to AWS cloud and we’re looking for an experienced Data Engineer who could help us to make this transition.

As a Data Engineer, you will work closely with all departments to understand their complex systems and create efficient data pipelines. The systems vary from a simple CRM integration to complex real time data collection metrics. You will also participate in data management activities such as analyzing complex data elements, data flows, dependencies, and relationships to build consistent business intelligence solutions.


Areas of responsibility:

  • Leading Cloud migration project of existing analytical solutions
  • Development of efficient and scalable data pipelines to ingest and expose business data
  • Collaborate with Data Analysts to build data and analytics solutions
  • Work on data modeling and database design to ensure that systems are able to cope with vast amounts of data


Your experience:

  • Implementation of Data Warehouse / Data Lake solutions
  • Successful integration of cost-effective data pipelines with multiple data sources, data destinations
  • Experience in configuring scheduled jobs orchestration
  • Identify, design and implement improvements to internal business processes allowing to optimize data delivery, automate manual processes



  • AWS stack – (Glue, Athena, Redshift, Kafka, Lambda)
  • Worked deeply with any relational database system (MSSQL, PostgreSQL, MySQL)
  • It would be great if you worked with at least one of Databricks, Snowflake, NoSQL databases
  • Python
  • Nice to have:
    • Azure DevOps, DataDog
    • Iaac with Terraform
    • Airflow
    • PowerBI


What we offer in Vilnius office:

  • People-centric & flexible company
  • Free lunches, breakfast, and snacks at the office every day
  • Health insurance
  • 5 extra days of holidays
  • Possibility to participate in the 3rd level pension fund after 6 months in the company
  • A parking space at the office
  • Lots of fun, a gaming zone with a console, VR, table tennis, foosball, and all that jazz
  • Salary: starts from 4000 EUR Gross


Interview flow you may expect:

  1. HR screening interview with two HR’s Dovile and Giedre
  2. Interview with Simonas Stonys, Team Lead of Data Analytics and Giedre, Head of People
  3. Technical interview with Jesper Frimodt, Software Delivery Manager & Technology Advisor and Mateusz Kisiewlewski, DevOps Team Lead
  4. Meeting with Data Quality and Analytics Team members in the office