Analytics Engineer (remote in Poland)

Our rapidly expanding Data team is central to driving business growth through data. Consisting of 5 Data Analysts and 3 Data Engineers we’re on a mission to harness data's full potential to fuel strategic insights and decisions. 

We collaborate closely with leaders across different departments. This partnership ensures our data-driven initiatives align with the company's strategic objectives and inspire action.

We are seeking a highly skilled and detail-oriented Analytics Engineer to join our data team, focusing primarily on financial data. The ideal candidate will have a background in data engineering, data modeling, and financial data management. They will be responsible for building and maintaining robust data pipelines, feeding finance oriented reports and analyses, and ensuring data integrity to support business decisions.

If you’re ready to join the team and want to participate in building data-driven business this will be a perfect role for you!

• Model data as per business needs using standards like Kimball, and perform data discovery to uncover and integrate new data sources.
  

• Collaborate with Data Analysts to establish best practices and processes for data projects, fostering a cohesive and productive data management strategy.
  

• Design and implement incremental ELT pipelines utilizing Python and PySpark to efficiently process and manage data flows using top-notch tools, like Dagster or Databricks
  

• Engage in data lineage, cataloging, and governance activities to maintain a clear and secure data ecosystem.
  

• Uphold engineering and programming excellence across the team by adhering to Software Engineering (SWE) standards, including testing, providing code reviews, monitoring data ecosystem, and contributing to documentation.
  

• Work closely with DevOps and Engineering teams to ensure high quality data systems.
  

Requirements

• Specific experience working with financial data and understanding of financial data structures and requirements.
  

• Demonstrated experience in data discovery, including asking insightful questions to properly understand problems and tackle them through effective data modelling.
  

• Proficient in Python, SQL for data processing and pipeline development. 
  

• Experience with data modelling standards such as Kimball methodology for data warehousing.
  

• Strong understanding of data lineage, cataloging, and governance principles.
  

• Excellent analytical and problem-solving abilities.
  

• Strong communication and collaboration skills to effectively work with data analysts and other stakeholders.
  

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Finance, or a related field.
  

• Knowledge of PySpark
  

• Familiarity with enova365 data model
  

• Familiarity with Delta Lakehouse architecture and its optimization techniques.
  

Technologies You'll Use

Python, PySpark, Airflow, Dagster, Databricks, GCP (Cloud Storage, BigQuery), MySQL/MariaDB, Mongo, MSSQL, Docker, Git, DataHub, Jira, Confluence

Benefits

• Contract Enhancements: earn between 14900 PLN to 21400 PLN on a B2B contract or between 12400 to 17800 PLN gross for Contract of Employment
  
• Enjoy Work-Life Balance: Embrace a fully remote and flexible work environment.
  
• Explore the World: Avail annual 'Work with Us, Travel with Us' vouchers.
  
• Grow Your Skills: Access foreign language classes (English, Spanish, German, and Polish) along with a dedicated team development fund.
  
• Stay Healthy: Benefit from co-financed life and medical insurance, and access sports facilities.
  
• Take Time Off: Get 26 days off with a Contract of Employment and 24 days off with B2B contracts.
  
• Share hospitality: Take 2 extra days off (annually) for CSR activities.
  
• Join Celebrations: Participate in company retreats, events, and wedding & baby packs, benefit from our employee referral program.
  
• Transparent Culture: Experience a flat hierarchy and open communication channels for transparency.
  

• Intro call with the Recruiter (up to 45 minutes)
  
• Technical interview with Data Engineer and hiring manager (up to 60 minutes)
  
• Meet the team (45 minutes)
  

About Us:
We are a global hospitality software technology company which originated from Poznan, Poland (and that’s where our HQ is) in 2008 and keeps on growing ever since - spans across 5 continents, with over 3500 customers constantly improving their revenue streams. 

We deliver leading SaaS technology and marketing services to give hoteliers the tools to increase revenue performance, bookings and efficiency, while providing their consumers the best services and experiences.