Lead Data Engineer
At a glance
Senior Data Engineering role at GFT Technologies. Kraków.
Pay not stated Lead Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Lead data migration work from solution design and estimates through technical delivery
- Build scalable GCP pipelines with PySpark or Scala, balancing performance, availability, accuracy and monitoring
- Guide the engineering pod, review code, reinforce development practices and mentor engineers
- Resolve production issues, clarify business requirements and share findings with development teams
- Take part in Agile planning and reviews, and identify AI tools that could improve engineering workflows
What you bring
- At least ten years in software design, data engineering and development across Agile and DevOps settings
- Strong solution design and development skills with PySpark or Scala, plus hands-on GCP pipeline experience
- Practical experience with Spark technologies, data integration and ETL, alongside Python and SQL
- You can lead engineers, work independently and explain technical topics clearly in spoken and written English
Who this fits
This senior technical leadership role suits someone ready to guide an engineering pod while remaining hands-on with data solutions. The arrangement includes hybrid work at the Kraków client office for eight days each month.
From the employer
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 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
Your skills
- 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
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
We offer
- Hybrid work in our client's office (Kraków) 8 days a month
- Working in a highly experienced and dedicated team
- Benefit package tailored to your needs (medical, sport, lunch subsidy, life insurance, etc.)
- Online training and certifications
- Access to e-learning platform
- Social events
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