Engineering Manager, Data Engineering & BI | Nationwide/Remote (Poland)

Job Description

About the Role

We are seeking an experienced and driven Engineering Manager to lead our Data Engineering & BI team within PeopleReady's Data & AI organisation. Reporting directly to the Director, Data & AI, this is a high-impact leadership role responsible for owning and directing the full data-to-decision stack — spanning data platform and ingestion, BI dashboards and business reporting, data governance, and AI agent capabilities.

This is a pivotal moment to join the team: the role takes on data-platform and ingestion ownership newly absorbed through an organisational reorganisation, offering a genuine opportunity to shape how the function operates, build on an evolving technical foundation, and leave a lasting mark on how data flows through the business. You will directly manage a cross-functional team of Data Engineers, BI Engineers, and AI/analytics specialists, and will partner closely with the Engineering Manager, Data Science & ML, to ensure the Feature Store is consistently fed with reliable, well-governed upstream data. If you are passionate about enabling data-driven decisions at scale, mentoring high-performing technical teams, and driving meaningful outcomes through cutting-edge data and AI technologies, this role is for you.

Key Responsibilities

• Own and direct the Data Engineering & BI roadmap across three pillars: data platform and ingestion, BI dashboards and business reporting, and AI agent delivery
• Lead, hire, and coach a cross-functional team of Data Engineers, BI Engineers, and AI/analytics specialists, with full accountability for performance management and career development
• Take ownership of data-platform and ingestion delivery, including pipeline reliability and lakehouse governance on Databricks, Delta Lake, and S3
• Direct ingestion and transformation standards across Airflow, dbt, and AWS Glue/DMS
• Own the BI and reporting practice, including Power BI dashboards, semantic models, and metric-definition standards for business stakeholders
• Direct delivery of AI agent capabilities on AWS Bedrock (LangGraph), including Conversational BI and natural-language interfaces to the lakehouse
• Own data governance across the platform, including access control, PII data masking, and row-level security via Unity Catalog
• Own the semantic layer's metadata quality and direct data-quality monitoring across ingestion and reporting pipelines
• Partner with the Engineering Manager, Data Science & ML, to maintain reliable, well-governed upstream data feeding the Feature Store
• Represent team priorities in roadmap and delivery planning with the Director, Data & AI, and the team's embedded Technical Product Owner/Scrum Master
• Manage team capacity, prioritisation, and delivery planning across all three pillars
• Mentor senior Data Engineers, BI Engineers, and AI Engineers on architecture, standards, and technical decision-making

Required Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field
• Minimum 10 years of professional experience spanning data engineering and/or BI/analytics
• Several years of people-management experience leading a technical team, including hiring, coaching, and performance management across more than one technical discipline
• Proven track record owning both data-platform/engineering delivery and a reporting/BI practice, or demonstrated ability to ramp the less-familiar domain quickly
• Strong working knowledge of Databricks, Delta Lake, S3, Airflow, dbt, and AWS Glue/DMS
• Strong working knowledge of Power BI, semantic and reporting-layer design, and translating ambiguous business requirements into clear, accurate reporting
• Data governance expertise, including access control, PII data masking, and row-level security using Unity Catalog
• Semantic-layer and metadata-quality discipline, ensuring BI reports and AI agents draw from consistent, well-documented, correctly-governed definitions
• Data-quality monitoring practice across ingestion and reporting pipelines
• SQL and dimensional/data-modelling fluency sufficient to review and guide technical work
• Strong cross-functional stakeholder management skills, with the ability to negotiate scope and roadmap directly with senior leadership and peer Engineering Managers

Preferred Qualifications

• Master's degree in Computer Science, Data Engineering, Information Systems, or a related field
• Familiarity with agentic and LLM application patterns, including AWS Bedrock and LangGraph, sufficient to review and guide technical direction for AI agent delivery
• Experience integrating a new functional domain into an existing team following an organisational reorganisation

Who we're looking for?

We are looking for a collaborative and technically credible leader who brings both strategic vision and hands-on depth to data engineering and BI. The ideal candidate will be equally comfortable mentoring engineers on architecture decisions, negotiating roadmap priorities with senior stakeholders, and ensuring the governance and quality standards that underpin reliable, trusted data products. You will thrive in a cross-functional environment, foster collective problem-solving within your team, and be committed to building an inclusive, high-performing culture where every team member has a clear path for growth and development.

What's in it for me?

• Great private medical cover with dental care.
• Life insurance.
• Access to the MyBenefit platform with the option to select a Multisport card.
• Company pension scheme (PPK).
• One extra day annually to use for holiday.
• Fully remote work from home.
• Seasonal benefits, such as pre-paid Christmas cards and others.
• The ability to build a meaningful career in a friendly and inclusive environment.
• A promising career path and individual development plan.

Next steps

If this sounds like you, we would love to hear from you. Click the apply button and start your application today.

We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.