Jacobs

Data engineer

In short

Senior/Lead Data Engineer role at Jacobs in Warsaw (hybrid), leading the design and operation of Snowflake based data platforms and end to end migrations from legacy data infrastructure to modern cloud platforms. Requires 5+ years of data/platform engineering experience with hands-on Snowflake, Python, advanced SQL, Azure, Airflow, Kafka, and experience leading enterprise-scale migrations. The role involves architecture design, mentoring data engineers, and collaborating with architects and business stakeholders on a global engineering consultancy's projects.

About
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. We are seeking an experienced Senior/Lead Data Engineer to play a key role in designing, building, and operating Snowflake based data platforms and data integration solutions at enterprise scale.
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
•Ensure data quality and integrity throughout the migration process, including data validation and reconciliation between source and target systems
Requirements
•5+ 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
Conditions
•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 - "Wczasy pod Gruszą" for a well-deserved break (only under CoE)
•Global projects - engage in exciting international projects
•Inclusive networks - join diverse employee networks like Women's Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively, and more
•Continuous learning - participate in the Graduate Development Program, Learners' Community, and self-learning platforms

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