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Data Engineer/ Tech Lead (Streaming Focus)
Link GroupPolska
Rodzaj zatrudnienia
DoświadczenieMaster
Dodano19 października 2025
Zarobki120 - 140 PLN
About the Role
We are seeking a Data Engineer / Tech Lead with a strong background in real-time data streaming to lead the design and delivery of cutting-edge streaming solutions. This role combines hands-on engineering with technical leadership – you will both architect scalable data streaming systems and guide a team to successful implementation.
Key Responsibilities
- Act as technical lead for projects with a strong streaming/data engineering focus.
- Design end-to-end architectures for data streaming use cases, ensuring scalability, reliability, and performance.
- Implement Change Data Capture (CDC) and other real-time extraction mechanisms.
- Drive adoption and best practices in Confluent Kafka and Spark Structured Streaming.
- Lead the development of streaming pipelines using Python, SQL, Bash, Node.js, and Linux/Unix Shell.
- Oversee code quality, versioning, release management, and CI/CD processes.
- Guide the team in applying DevOps and cloud-native tools: GitHub Actions, Terraform, Kubernetes, etc.
- Collaborate with business stakeholders, data scientists, and platform teams to align streaming solutions with organizational goals.
- Mentor junior/mid-level engineers, fostering growth and technical excellence within the team.
Essential Skills & Experience
- Proven experience in data engineering with a strong focus on streaming.
- Strong expertise in Confluent Kafka and Spark Structured Streaming.
- Hands-on experience with CDC and real-time data extraction.
- Solid programming background: Python, SQL, Bash, Node.js, Linux/Unix Shell.
- Strong knowledge of data engineering lifecycle: versioning, release management, deployment, agile delivery.
- Experience with cloud-native & DevOps tools: GitHub Actions, Terraform, Kubernetes.
- Previous experience in a technical leadership role (designing solutions, guiding teams, mentoring).
Nice to Have
- Multi-cloud exposure (AWS, Azure, GCP).
- Knowledge of wider big data & analytics platforms (Databricks, Snowflake, Delta Lake).
- Experience in stakeholder management and solution consulting.
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