Lead Data Consultant

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

Benefits offered by this job

Hybrid work model (8 days/month)

Job summary

GFT Technologies, Kraków, is seeking a senior data engineer to lead technical delivery of data migration and engineering initiatives. You will design scalable data pipelines in GCP, guide the engineering pod, promote development standards and support the team throughout the Agile development process.

You will mentor engineers, work with Analysts to interpret requirements, and participate in planning ceremonies.

Qualifications

• Senior level: 10+ years in software design, data engineering, Agile/DevOps environments.
• Proven design experience with PySpark or Scala.
• Hands-on with GCP and building data pipelines.
• Experience with Spark, Hadoop, Hive, ETL frameworks, and REST APIs.

Responsibilities

• Lead technical delivery of data migration and engineering initiatives.
• Design scalable data pipelines in GCP using PySpark/Scala.
• Mentor engineers and oversee the engineering pod.
• Guide environment setup, arch and cloud design patterns.
• Collaborate with Business Analysts to interpret requirements.
• Support production environments and troubleshoot issues.
• Participate in planning, sprints, and retrospectives.
• Explore AI tools to improve workflows.

Skills

PySpark

Scala

GCP

Airflow

REST APIs

Unix/Linux

Git/GitHub/Jenkins

Agile/DevOps

English communication

Tools

Google Cloud Platform (GCP)

Apache Spark

Spark SQL

Hadoop

YARN

Hive

MapReduce

ETL frameworks

Airflow

Git

Jenkins

Ansible

Jira

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