Lead Data Consultant (Kraków, PL, 30-302)

GFT Technologies SE; Kraków; Hybrid; PLN 214,000 - 287,000; Full time

Job summary

GFT Technologies SE in Kraków is seeking an experienced data engineering leader to drive the technical delivery of data migration and cloud data solutions using GCP. You will mentor engineers, shape architecture, and promote best practices within an Agile environment.

The role emphasizes scalable pipelines with PySpark/Scala, strong DevOps discipline, and collaboration with analysts to translate requirements into robust data platforms; hybrid work arrangement in Kraków is available.

Qualifications

• At least 10 years of experience in software design, data engineering and development in Agile and DevOps environments.
• Strong development and solution design experience with PySpark or Scala.
• Hands-on experience with Google Cloud Platform and building data pipelines in GCP.
• Experience with Apache Spark, Spark SQL, Hadoop, YARN, Hive, MapReduce and ETL frameworks.
• Experience with Python, SQL, PL/SQL and data integration.
• Experience with Apache Airflow or similar scheduling tools.
• Experience with REST APIs and RESTful services.
• Strong knowledge of Unix and Linux environments.
• Experience with Git, GitHub, Jenkins, Ansible and Jira.
• Experience with automated testing, deployment and monitoring.
• Understanding of cloud architecture and cloud design patterns.
• Ability to lead an engineering pod and guide the work of other engineers.
• Ability to work autonomously and act as a technical subject‑matter expert.
• Strong communication and presentation skills for technical, senior and non-technical audiences.
• Strong written and spoken English.
• Openness to work hybrid from our client's office (Kraków) 8 days a month.

Responsibilities

• Provide technical leadership for data migration projects, including solution design, approach and estimation.
• Design and develop scalable data pipelines using GCP, PySpark and Scala.
• Provide guidance on environment setup, system architecture and cloud design patterns.
• Implement solutions focused on performance, scalability, availability and monitoring.
• Promote coding standards, conduct code reviews and support knowledge sharing.
• Mentor engineers and oversee the technical delivery of the engineering pod.
• Work with Business Analysts to ensure requirements are correctly interpreted and implemented.
• Support production environments, troubleshoot issues and communicate findings to development teams.
• Participate in planning sessions, status meetings, sprint reviews and retrospectives.
• Identify opportunities to use AI enablers to improve traditional engineering workflows.

Skills

Data engineering

PySpark

Scala

GCP

ETL

REST APIs

DevOps

Unix/Linux

Airflow

Java APIs

Tools

Git

GitHub

Jenkins

Jira

Ansible

Apache Spark

Spark SQL

Hadoop

Job description

Type of contract: B2B contract

Salary range: 155 - 208 PLN/H

What will you do?

You will lead the technical delivery of data migration and engineering initiatives, working closely with Engineers, Data Analysts and Business Analysts. You will design scalable data solutions in GCP, guide the engineering pod, promote development standards and support the team throughout the Agile development process.

Your tasks

• Provide technical leadership for data migration projects, including solution design, approach and estimation
• Design and develop scalable data pipelines using GCP, PySpark and Scala
• Provide guidance on environment setup, system architecture and cloud design patterns
• Implement solutions focused on performance, scalability, availability, accuracy and monitoring
• Promote coding standards, conduct code reviews and support knowledge sharing
• Mentor engineers and oversee the technical delivery of the engineering pod
• Work with Business Analysts to ensure requirements are correctly interpreted and implemented
• Support production environments, troubleshoot issues and communicate findings to development teams
• Participate in planning sessions, status meetings, sprint reviews and retrospectives
• Identify opportunities to use AI enablers to improve traditional engineering workflows

Requirements

• At least 10 years of experience in software design, data engineering and development in Agile and DevOps environments
• Strong development and solution design experience with PySpark or Scala
• Hands‑on experience with Google Cloud Platform and building data pipelines in GCP
• Experience with Apache Spark, Spark SQL, Hadoop, YARN, Hive, MapReduce and ETL frameworks
• Experience with Python, SQL, PL/SQL and data integration
• Experience with Apache Airflow or similar scheduling tools
• Experience with REST APIs and RESTful services
• Strong knowledge of Unix and Linux environments
• Experience with Git, GitHub, Jenkins, Ansible and Jira
• Experience with automated testing, deployment and monitoring
• Understanding of cloud architecture and cloud design patterns
• Ability to lead an engineering pod and guide the work of other engineers
• Ability to work autonomously and act as a technical subject‑matter expert
• Strong communication and presentation skills for technical, senior and non-technical audiences
• Strong written and spoken English
• Openness to work hybrid from our client's office (Kraków) 8 days a month

Nice to have

• Experience with Elasticsearch
• Experience developing Java APIs
• Experience with data ingestion solutions
• Experience working with Scrum and Kanban
• Interest in AI-based tools that can accelerate engineering workflows