Senior Data Engineer

Billennium; Poland; Hybrid; PLN 120,000 - 190,000; Full time

Benefits offered by this job

Udemy for Business

Private medical care

Multisport card

Language lessons

Shopping vouchers

Remote/hybrid work options

Global IT partnerships with Microsoft,

Job summary

Billennium is seeking an experienced Data Engineer in Poland to lead design and implementation of complex data solutions. You will set technical standards, mentor junior engineers, and drive data governance while shaping enterprise data strategy and architecture.

You will oversee scalable data warehouses and data lakes, troubleshoot performance issues, and collaborate with senior leadership to align data initiatives with business needs.

Qualifications

• Extensive experience leading design and implementation of complex data engineering solutions.
• Proven track record delivering enterprise-scale data architectures and data strategy.
• Experience shaping data governance and ensuring data security.

Responsibilities

• Lead the design and construction of large-scale data architectures.
• Mentor junior engineers and drive standards across the team.
• Collaborate with senior leadership to align data strategy with business needs.
• Develop long-term data architecture strategies and governance initiatives.
• Design and implement scalable data warehouses and data lakes.
• Work with multiple programming languages and Big Data technologies.

Skills

Data engineering

Distributed data systems

Big Data technologies

ETL/ELT patterns

Data governance

Education

Tools

AWS

Snowflake

Microsoft

Salesforce

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