Lead Data Engineer

Industry

Enterprise Functions

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 (DataOps)
• 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 PostgreSQL
• Proven 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 flexibility of working mainly from home
• Flexible hours - start your day anytime between 7:30 and 10:00 AM
• Comprehensive benefits, including Lux Med medical care, psychological support, life insurance, My Benefit cafeteria system, Multisport card co-financing, and a car/bike park sharing system
• Possibility to travel on an occasional basis
• Co-financed holidays - enjoy "Wczasy pod Gruszą" for a well-deserved break (only under CoE)
• Global projects - engage in exciting international projects 
• Inclusive networks - join our diverse employee networks like Women's Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively, and more
• Continuous learning - participate in our Graduate Development Program, Learners’ Community, and self-learning platforms
• Language courses - enhance your skills with courses in English, German, and Polish

We know that if we are inclusive, we’re more connected, and we’re more creative.  We accept people for who they are.  Find out more about life at Jacobs .  

As a Disability Confident employer, we will interview all disabled applicants who meet the criteria for a vacancy.  

If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team Wyświetl e-mail na careers.jacobs.com

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Locations

City State Country
Krakow	All PL Regions	Poland