Data Engineering ManagerLocation: 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!