Lead Data Engineer

Location: Krakow

Job :
Krakow, All PL Regions, Poland Capabilities:
Digital and Data Office Setup:
Hybrid Company:
Jacobs At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.
Your impact
We are seeking an experienced Lead Data Engineer to play a key role in designing, building, and operating Snowflake based data platforms and data integration solutions at enterprise scale.

The primary focus of this role is leading the modernization and development of data warehouses, with emphasis on integration between source systems and data consumers, ETL/ELT processes, and data pipelines. This is a hands-on technical leadership role with strong ownership of engineering standards, architecture, and delivery quality, rather than a pure management or research position.

Key Responsibilities:

Design, develop, and operate Snowflake based data platforms supporting analytics and reporting workloads

Lead end to end migration of data infrastructure, including source integrations, ETL/ELT processes, orchestration, and downstream consumer connections, from legacy to modern platforms

Lead the design of highly decoupled, scalable architectures and reusable integration patterns

Build and maintain scalable, reliable data pipelines (batch and real time) using modern cloud data technologies

Integrate and manage large, complex datasets from multiple internal and external source systems

Automate data pipelines end to end to reduce manual effort and improve stability and maintainability

Design and implement monitoring, alerting, and error handling frameworks for data pipelines

Run proof of concept initiatives and drive their evolution into full scale production rollouts

Plan and execute migration cutovers, including parallel runs, data reconciliation, and rollback strategies

Design and optimize data architectures for performance, scalability, and cost efficiency

Define and apply data governance practices, including data quality, lineage, compliance, and security

Implement and improve CI/CD, testing, data quality, and observability practices (Data Ops)
Collaborate closely with architects, product owners, and business stakeholders to translate requirements into technical solutions

Mentor and guide Data Engineers, conduct code and design reviews, and contribute to team growth

Contribute to platform standards, best practices, and technical evolution across the organization

Experience in ensuring data quality and integrity throughout the migration process, including data validation and reconciliation between source and target systems
Here's what you'll need
7+ years of experience in data engineering or platform engineering roles, including experience in a technical lead or senior position

Proven, hands on experience leading end to end data infrastructure migrations (e.g. legacy data warehouse or ETL platform to a modern cloud platform), covering the full scope from source integration through cutover to production stabilization

Hands on, production level experience with Snowflake, including data modeling, ELT patterns, and performance optimization

Strong programming skills in Python and advanced SQL Experience working with data and cloud workloads in MS Azure environment

Solid experience with data orchestration tools (Apache Airflow or equivalent) and ETL/ELT design

Experience with streaming and event driven architectures (Kafka or equivalent)

Experience with relational databases such as SQL Server and PostgreSQLProven experience designing decoupled, scalable data architectures and reusable integration patterns

Practical understanding of data governance, including data quality, lineage, and data security

Strong analytical mindset, ownership attitude, and ability to design solutions for enterprise scale

Excellent communication skills and the ability to work with client architects and stakeholders

Nice to have:

Experience with Apache Spark, Databricks, and modern Lakehouse or hybrid architectures

Familiarity with multi cloud or hybrid cloud architectures

Experience in consulting, product driven, or multi project environments

Exposure to large, enterprise scale data ecosystems

Experience in banking or financial services

We offer:
Full-time employment/b2b contract with a salary that matches your qualifications

Hybrid work model - enjoy the…