Data engineer

Jacobs; Warszawa; Hybrid; PLN 240,000 - 320,000; Full time

Benefits offered by this job

Hybrid work model

Flexible hours

Competitive benefits

Global projects

Professional development

Job summary

Jacobs в Варшаве ищет Senior/Lead Data Engineer для проектирования, построения и эксплуатации Snowflake‑базированных платформ данных и решений по интеграции на уровне предприятия. Вы будете руководить миграциями, архитектурой и развёртыванием конвейеров данных.

Требуются глубокие знания Python, SQL, Azure, Airflow и Kafka, умение работать с большими данными, обеспечение качества, безопасности и соответствия требованиям.

Qualifications

• 5+ лет в data engineering или platform engineering, роль лидера или старшего уровня.
• Практический опыт миграций дата-инфраструктуры от legacy к облачным платформам.
• Snowflake: моделирование данных, ELT и оптимизация производительности.
• Сильные навыки Python и продвинутый SQL.
• Опыт работы с данными в MS Azure и инструментами оркестрации (Airflow).
• Опыт Kafka и стриминговых архитектур; RBAC и безопасность данных.

Responsibilities

• Проектирование, разработка и эксплуатация Snowflake‑платформ данных.
• Руководство миграциями инфраструктуры данных к современной облачной платформе.
• Разработка масштабируемых архитектур и повторно используемых интеграционных паттернов.

Skills

Python

Advanced SQL

Data modeling

Data governance

Leadership

Communication

Tools

Snowflake

Apache Airflow

Kafka

Azure

PostgreSQL

SQL Server

Job description

Описание:

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.

Задачи:

• 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

Требования:

• 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
• Будет плюсом: 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

Условия:

• 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 730 and 1000 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