Lead Data Engineer

RiseWithVishwas; Wrocław; Hybrid; PLN 115,000 - 229,000; Full time

Job summary

Viessmann Technika Grzewcza, a Carrier company, seeks a Lead Data Engineer in Wrocław, Poland. Bring 3–4+ years of data engineering experience with Data Lake architectures, SQL, and Python to drive pipeline design, code quality, and cloud data architecture.

You will mentor data engineers, implement DevOps/CI/CD practices, and build scalable batch and streaming pipelines using Google Cloud Platform (BigQuery, Dataflow, Dataform), PySpark, and Airflow.

Qualifications

• 3–4+ years of data engineering experience with data lake architectures.
• Strong Python and SQL skills for data processing and modeling.
• Experience with Google Cloud Platform data tools (BigQuery, Dataflow, Dataform).
• Mentor and lead data engineers, guiding best practices and code quality.
• Familiarity with DevOps, CI/CD, and infrastructure as code.

Responsibilities

• Lead the technical design, development, and maintenance of scalable Data Lake solutions.
• Enforce coding standards, conduct code reviews, and set engineering practices.
• Mentor junior and mid-level data engineers and guide problem solving.
• Translate business requirements into data models and backlogs with architects.
• Implement automation, CI/CD pipelines, and IaC across cloud data environments.
• Drive pipeline optimizations and coordinate database integrations.

Skills

Python

SQL

PySpark

Airflow

Data Lake

Education

Bachelor’s / Master’s in CS, Math, Physics, or Engineering

Tools

BigQuery

Dataflow

Dataform

GCP Platform

Job description

zł115,200.00 – zł229,200.00 / year | 3-4+ Yrs Exp | Bachelor’s / Master’s in CS, Math, Physics, or Engineering | Lead Data Engineer | GCP Data Lake & Cloud Infrastructure | Wrocław, Poland | On-site / Hybrid | Full Time

Lead Data Lake Architecture, PySpark/Airflow Pipeline Engineering, and GCP Data Platform Initiatives for Viessmann Climate Solutions

Join Viessmann Technika Grzewcza (a Carrier company) as a Lead Data Engineer in Wrocław, Poland. Bringing 3 to 4+ years of data engineering experience with Data Lake architectures, SQL, and Python, this senior technical leadership role drives data pipeline design, code quality, and cloud data architecture. You will mentor data engineers, implement DevOps/CI/CD practices, and build scalable batch and streaming pipelines leveraging Google Cloud Platform (BigQuery, Dataflow, Dataform), PySpark, and Airflow.

Key Responsibilities:

• Lead the technical design, development, and maintenance of scalable Data Lake solutions and enterprise data architectures.
• Enforce high-standard coding practices, lead technical code reviews, and establish software engineering standards across the Data Engineering team.
• Mentor junior and mid-level data engineers, guiding their technical development and problem-solving skills.
• Partner closely with enterprise architects and business analysts to translate complex business requirements into technical backlogs and data models.
• Implement automation practices, automated testing frameworks, CI/CD pipelines, and Infrastructure as Code (IaC) across cloud data environments.
• Drive data pipeline optimizations, resolve complex technical blockers, and oversee relational/non-relational database integrations.

Tools/Technologies Used:

• Languages & Data Processing: Python, Advanced SQL, PySpark, Apache Beam, Hive, HDFS, Distributed Data Processing
• DevOps & Engineering Standards: CI/CD Pipelines, Infrastructure as Code (IaC), Git, Relational Databases, Automated Testing, Agile/Scrum Frameworks