Lead Data Engineer

Gft Technologies Poland — Poland · Posted ~2 hours ago

Lead Full-time 17400-26700 PLN gross

Skills

GCP PySpark Scala Data engineering Data pipelines Data migration Cloud architecture Technical leadership Agile

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Summary ✨ AI‑Generated

A lead data engineering position responsible for designing and delivering scalable data migration solutions in the cloud. You will build data pipelines with modern distributed technologies, guide an engineering pod, establish development standards, mentor engineers, and collaborate closely with business stakeholders.

Highlights

Lead technical delivery for data migration and engineering initiatives while mentoring engineers and shaping scalable cloud solutions. The role combines hands-on engineering, architecture, technical leadership, and Agile collaboration.

Description

Type of contract: Employment contract Salary range: 17400-26700 PLN gross 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 estimationDesign and develop scalable data pipelines using GCP, PySpark and ScalaProvide guidance on environment setup, system architecture and cloud design patternsImplement solutions focused on performance, scalability, availability, accuracy and monitoringPromote coding standards, conduct code reviews and support knowledge sharingMentor engineers and oversee the technical delivery of the engineering podWork with Business Analysts to ensure requirements are correctly interpreted and implementedSupport production environments, troubleshoot issues and communicate findings to development teamsParticipate in planning sessions, status meetings, sprint reviews and retrospectivesIdentify opportunities to use AI enablers to improve traditional engineering workflows Your skills At least 10 years of experience in software design, data engineering and development in Agile and DevOps environmentsStrong development and solution design experience with PySpark or ScalaHands-on experience with Google Cloud Platform and building data pipelines in GCPExperience with Apache Spark, Spark SQL, Hadoop, YARN, Hive, MapReduce and ETL frameworksExperience with Python, SQL, PL/SQL and data integrationExperience with Apache Airflow or similar scheduling toolsExperience with REST APIs and RESTful servicesStrong knowledge of Unix and Linux environmentsExperience with Git, GitHub, Jenkins, Ansible and JiraExperience with automated testing, deployment and monitoringUnderstanding of cloud architecture and cloud design patternsAbility to lead an engineering pod and guide the work of other engineersAbility to work autonomously and act as a technical subject-matter expertStrong communication and presentation skills for technical, senior and non-technical audiencesStrong written and spoken English Nice to have Experience with ElasticsearchExperience developing Java APIsExperience with data ingestion solutionsExperience working with Scrum and KanbanInterest in AI-based tools that can accelerate engineering workflows We offer Hybrid work in our client's office (Kraków) 8 days a month Working in a highly experienced and dedicated teamBenefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)Online training and certificationsAccess to e-learning platform Social events