Data Engineering Manager

Data Engineering Manager

Location: Katowice (hybrid model – 1–2 days per week in the office)

Responsibilities

• Lead and mentor a team of data engineers, setting priorities, guiding technical decisions, and fostering a culture of collaboration and innovation.

• Create and maintain optimal data pipeline architecture.

• Assemble large, complex data sets that meet functional and non-functional business requirements.

• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and ‘big data’ technologies.

• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

• Work with stakeholders including the Executive, Product, Data, and Design teams to assist with data-related technical issues and support their data infrastructure needs.

• Keep our data separated and secure across national boundaries through multiple data centers.

• Create data tools for analytics and data science team members to assist them in building and optimizing our products into innovative industry leaders.

• Work with data and analytics experts to strive for greater functionality in our data systems.

  
  

Our Requirements

• Strong English skills, both spoken and written, are essential.

• Proven experience in managing a data engineering team, setting priorities, and making key technical decisions.

• Advanced working SQL knowledge and experience with relational databases, query authoring, and familiarity with various database systems.

• Experience building and optimizing ‘big data’ pipelines, architectures, and data sets.

• Experience performing root cause analysis on internal and external data and processes to answer business questions and identify opportunities for improvement.

• Strong analytical skills related to working with unstructured datasets.

• Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management.

• A successful track record of manipulating, processing, and extracting value from large, disconnected datasets.

• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

• Strong project management and organizational skills.

• Experience supporting and collaborating with cross-functional teams in a dynamic environment.

• Solid understanding of data modelling techniques like Dimensional, Entity-Relationship, Data Vault.

• Experience using the following software/tools:

  • Snowflake

  • DBT

  • Airflow

  • AWS (Cloudformation, EKS, EC2, RDS, Lambda, SQS, SNS, API Gateway, etc.)

  • Real time data tools: Kafka, Storm, Spark Streaming, etc.

  • Python.

• Willingness and ability to work in a hybrid model with 1–2 days per week on-site in our Katowice office.

What We Offer

• Hybrid work model (1–2 days per week in our Katowice office).

• Opportunity to work on global-scale travel platforms used by millions.

• Collaboration with skilled professionals passionate about technology and travel.

• Continuous learning opportunities and room to grow within the organization.

• English lessons

• Attractive remuneration in Euro

• You’ll have an access to a personal learning and development budget

• Participation in conferences in Poland and abroad

• Mentoring and support from tech leaders

• Time for developing your own ideas

• Knowledge-sharing and support of IT events

• Flexible working hours

• Partially or fully funded training

Would you like to join an international team and work on ambitious projects? Apply today and grow with us!