Project information:

• Industry: Consulting
• Location: Warsaw, hybrid work, 2 days at the office per week
• Type of employment: B2B
• Budget: 200-250 net/hour - b2b
• Project language: English
• Start date: ASAP
• Only candidates with citizenship in the European Union and residence in Poland

Project scope:

• Team Leadership:

Oversee and manage a team of 10+ data engineering specialists

Conduct 1:1 meetings, plan career paths, and set and evaluate individual goals

Assign resources to projects and manage bench activities

Supervise and actively participate in recruitment processes

Onboard new employees effectively

Foster knowledge-sharing practices and ensure team skill development

• Technical Expertise & Contributions:

Ensure the quality of deliverables produced by the team

Participate in selected projects as a Solution Architect

Represent the team as a subject matter expert in internal and external meetings

Build and maintain strong client relationships and support business development activities

Monitor market trends and propose innovative solutions in the Data Engineering domain

• Strategic Collaboration:

Work closely with the Chief Delivery Officer to develop and implement strategic plans for the Data Engineering team, including team growth, specializations, technology partnerships, and R&D initiatives

Contribute to presales and sales processes by supporting the creation of proposals and showcasing team expertise

• Technology Focus:

Work on cutting-edge technologies, including Azure, AWS, and Databricks.

Leverage skills in SQL, Python, ETL/ELT, QA, and Data Governance

Requirements:

• About 5 years of experience in leading teams in data engineering or data warehouse domains and managing specialist teams of over 10 members
• Over 7 years of hands-on experience in designing and developing solutions in areas such as Business Intelligence, Advanced Analytics, ETL/ELT, Data Warehouse, Data Lake, or Big Data
• More than 3 years of experience building and deploying cloud-based services, particularly with Azure or AWS data services
• Comprehensive understanding of Data Governance, including data quality, master data management, data cataloging, and lineage
• Proven ability to apply advanced team management techniques
• Excellent organizational, communication, and collaboration skills
• High proficiency in English (minimum C1 level)
• Readiness to work in a hybrid model from the Warsaw

Preferred Qualifications:

• Practical knowledge of relational (e.g., SQL Server, Oracle) and non-relational databases (e.g., MongoDB, CosmosDB)
• Familiarity with MPP databases like Synapse or Redshift and platforms like Databricks/Spark
• Hands-on experience with CI/CD pipelines and using Git repositories in data engineering projects
• Microsoft, Amazon, or Databricks certifications
• Successful track record of acquiring new clients and launching data engineering projects
• Experience in delivering training or presenting at industry events

We offer:

• Global multi-cloud projects - work with clients from all over the world based on modern cloud technologies
• Refund of technical certificates
• Time to learn - 60 paid hours per year
• Personalized benefits: medical care, co-financing of sports packages, language courses, fuel card, bonus for recommending a new employee
• Annual and media bonus
• Flexible working hours
• Integration events