Data Engineer

Billennium; Poland; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Udemy for Business

Private medical care

Multisport card

Language lessons

Shopping vouchers

Remote/hybrid work options

Partnerships with global IT giants

Job summary

Billennium is seeking an experienced Data Engineer to lead the design and implementation of complex data engineering solutions. The role requires deep expertise in distributed data systems, cloud platforms, and advanced ETL/ELT patterns to architect scalable data warehouses and data lakes.

You will mentor junior engineers, set technical standards, troubleshoot performance issues, and influence architectural decisions within a global technology environment.

Qualifications

• Extensive experience leading design, implementation, and construction of complex data engineering solutions and large-scale data architectures.
• Proven track record delivering enterprise-scale data infrastructure projects.
• Experience contributing to data governance and ensuring resilience and security of critical data infrastructure.
• Expert proficiency in multiple programming languages and Big Data technologies.
• Deep expertise in distributed data systems, cloud data platforms, and advanced ETL/ELT patterns.
• Ability to architect scalable data warehouses and data lakes and troubleshoot performance issues.

Responsibilities

• Lead design and construction of large-scale data architectures and mentor junior engineers.
• Resolve highly complex data engineering problems and optimize performance.
• Liaise with senior leadership to align on data strategy and organizational needs.
• Drive long-term data architecture strategies and governance initiatives.
• Design advanced data processing frameworks, scalable data warehouses, and data lakes.
• Demonstrate expertise across languages and Big Data technologies to guide architecture decisions.

Skills

Data engineering

Distributed systems

Big Data technologies

Cloud platforms

ETL/ELT

Programming languages

Tools

SQL

Spark

Python

ETL tools

Job description

Billennium is a global technology company delivering innovative software, cloud, data, and AI solutions for enterprise clients worldwide. We combine engineering excellence with a collaborative culture to help organizations accelerate their digital transformation.

We are looking for an experienced Data Engineer to lead the design and implementation of complex data engineering solutions, set technical standards, and mentor junior team members. This role requires deep expertise in distributed data systems, cloud data platforms, and advanced ETL/ELT patterns, enabling you to architect scalable data warehouses and data lakes, troubleshoot intricate performance issues, and ensure the resilience and security of critical data infrastructure. You will drive technical excellence, contribute significantly to data governance, and influence the team's architectural decisions.

Responsibilities:

• Scope / (Content Leadership): Leads the design and construction of large-scale data architectures. Oversees and mentors junior engineers while driving technical excellence and setting standards across the team.
• Accountability/Problem Solving: Solves highly complex data engineering problems and troubleshoots intricate performance issues. Ensures that critical data infrastructure and systems remain highly scalable, secure, resilient, and efficient.
• Stakeholder Management: Liaises with senior leadership to align on data strategy and organizational needs. Guides and directs various technical teams and effectively influences the team's architectural decisions.
• Impact/Strategy: Leads high-impact projects that significantly shape the organization's data infrastructure. Develops long-term strategies for data architecture and contributes significantly to data governance initiatives.
• Complexity / (Product Size): Manages enterprise-level data systems and infrastructure. Designs and implements advanced data processing frameworks, scalable data warehouses, and data lakes.
• Business / Technical ability: Acts as an expert in multiple programming languages and Big Data technologies. Demonstrates a deep understanding of distributed systems, cloud data platforms, advanced ETL/ELT patterns, and data architecture best practices.

Requirements:

• Extensive experience leading the design, implementation, and construction of complex data engineering solutions and large-scale data architectures.
• Proven track record of leading high-impact projects that shape enterprise-level data infrastructure and developing long-term data architecture strategies.
• Demonstrated experience contributing significantly to data governance and ensuring the resilience and security of critical data infrastructure.
• Expert proficiency in multiple programming languages and Big Data technologies.
• Deep expertise in distributed data systems, cloud data platforms, and advanced ETL/ELT patterns.
• Proven capability to architect scalable data warehouses and data lakes, and to troubleshoot intricate system performance issues.

Perks and benefits:

• Comprehensive benefits - enjoy Udemy for Business, private medical care, Multisport card, veterinary package, language lessons, and shopping vouchers.
• Flexibility - adaptable working hours and remote/hybrid work options to suit your lifestyle & location.
• Career growth - access opportunities for professional development and learning, including perks related to our official partnerships with global IT giants: Microsoft, AWS, Snowflake, Salesforce & more.
• Global collaboration - work with a diverse, international team.
• Innovative environment - be part of a forward-thinking and growth-oriented workplace.
• Engaging community – Work with passionate professionals and participate in team-building events, hackathons, and CSR initiatives to make an impact beyond work.
• Team-building events including our company tradition (annual company event in Mazury).
• A pleasant surprise to start your journey with us in the form of a welcome pack.

Recruitment process:

• HR call
• Technical Interview
• Interview with the dedicated Client