Data Science Team Lead

Fetcherr; Wrocław; On-site; PLN 260,000 - 380,000; Full time

Job summary

An AI-driven technology company in Wrocław seeks an experienced Data Engineer Team Lead to manage a skilled team and oversee data engineering projects. The ideal candidate will have 3+ years of people management and 6+ years in data engineering, with strong Python and SQL skills. Responsibilities include building scalable data pipelines and contributing to architecture decisions. This role offers a competitive salary and a dynamic working environment.

Qualifications

• 3+ years of team management experience in data engineering.
• 6+ years of experience in data engineering with Python and SQL.
• Proven expertise in large-scale data platform design and maintenance.
• Experience with data orchestration tools: Airflow, Prefect, or Dagster.
• Hands-on with distributed data frameworks: Spark, Beam, or similar.
• Cloud platform experience—GCP preferred (AWS/Azure acceptable).
• Familiar with Docker and CI/CD pipelines (GitHub/GitLab).
• Strong communication, mentorship, and collaboration skills.
• BSc/MSc in Computer Science, Engineering, or related field.
• Fluent English (spoken and written).

Responsibilities

• Manage a team of data engineers to build scalable data pipelines.
• Design and maintain distributed data processing workflows.
• Contribute to architectural decisions and key development tasks.
• Own and evolve Fetcherr’s data architecture aligned with business goals.
• Manage sprint planning, task breakdown, code reviews, and performance feedback.
• Contribute hands-on to key development tasks and architecture decisions.
• Recruit, mentor, and grow the data engineering team.

Skills

Leadership

Python programming

SQL

Data modeling

Communication

Mentorship

GCP

Docker

CI/CD (GitHub/GitLab)

Communication

Mentorship

Education

BSc/MSc in Computer Science, Engineering, or related field

MSc in Engineering or related field

Tools

Airflow

Apache Beam

Spark

GCP

Docker

Docker

GitHub/GitLab CI/CD

GCP (BigQuery/Dataflow)

Job description

Overview

Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.

Title

Data Engineer Team Leade

Role

We are seeking an experienced Data Engineer Team Leade to lead our data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products.

Responsibilities

• Manage a team of data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure.
• Design, build, and maintain distributed data processing workflows (batch & streaming).
• Drive best practices for data quality, validation, testing, and observability.
• Own and evolve Fetcherr’s data architecture in alignment with business and product goals.
• Manage sprint planning, task breakdown, code reviews, and performance feedback for your team.
• Contribute hands-on to key development tasks and architecture decisions.
• Recruit, mentor, and grow the data engineering team.

Requirements

• 3+ years of proven experience leading and managing a team of data engineers (people management is required)
• 6+ years of experience in data engineering, including a strong Python programming background, advanced SQL skills, and data modeling experience
• Proven experience designing and maintaining large-scale data platforms (hundreds of TBs)
• Expertise with data orchestration tools (Airflow, Prefect, or Dagster)
• Hands-on experience with distributed data frameworks (Apache Beam, Spark, or similar)
• Cloud platform experience — GCP preferred (AWS/Azure acceptable)
• Familiarity with Docker and CI/CD pipelines (GitHub/GitLab)
• Strong communication, mentorship, and collaboration skills
• BSc/MSc in Computer Science, Engineering, or a related field
• Fluent English (spoken and written)

Nice to Have

• Experience with Google Cloud Platform tools (BigQuery, Dataflow, Pub/Sub)
• Background working with ML pipelines or data science teams
• Understanding of data contracts, lineage, and versioning tools
• Knowledge of data structures and algorithms
• Experience optimizing pipelines and databases for performance and cost
• Exposure to airline, pricing, or GDS systems