Senior Data Engineer NOWOŚĆ

Opis stanowiska

We are looking for candidates with diverse levels of experience, spanning from mid-level to senior-level positions.

We are looking for a Senior Data Engineer to join our team in a highly technical role, with a strong focus on building real data and AI products that deliver measurable outcomes.

This is not a traditional “pipeline-only” data engineering role. You will work across the data, ML/AI, and product stack, helping turn uncertainty into clear plans, reduce technical and product risk early, and drive predictable delivery in complex environments.

You will start as a hands-on contributor with strong leadership influence and, depending on fit and impact, can grow into a technical leadership role very quickly.

What you will do:

•  Drive the design and development of data and AI-enabled products, from early exploration through validated, production-ready models
• Help turn ambiguous problem statements into clear delivery plans, making assumptions, risks, and trade-offs explicit
• Lead risk reduction activities (e.g. prototypes, spikes, technical validation) early in the lifecycle
• Contribute to and influence product definition, ensuring solutions are technically feasible and scalable
• Define and refine clear success metrics for data and AI initiatives, aligned with product and business goals
• Facilitate iterative, predictable delivery under uncertainty
•  Communicate effectively with management and non-technical stakeholders, including escalating when needed.
• Actively contribute to improving ways of working through a constructive, open, and disciplined approach

What we are looking for:

Must have

• Strong experience as a data science, data engineer or similar role, working across the broader data stack
• Proven ability to operate effectively in ambiguous problem spaces
• Experience building data products, not just pipelines
• Solid understanding of ML/AI concepts and how models are integrated into real systems
• Ability to reason about trade-offs (accuracy vs cost, latency, reliability, complexity)
• Strong communication skills and comfort interacting with management and product stakeholders
• A results-oriented mindset: you care about outcomes, not just implementations
• Willingness to take ownership, ask hard questions, and drive clarity

Nice to have

• Experience working with AI/ML systems in production
• Familiarity with modern data platforms (e.g. cloud data warehouses, lakehouses, streaming systems)
• Experience influencing product direction without being a formal product manager
• Previous experience stepping into a technical leadership or tech lead role

What this role is not:

To be very clear, this role is not a good fit if you are:

• Primarily a pipeline or ETL-only engineer
• Most comfortable working from fully specified requirements
• Focused mainly on academic or research-oriented ML
• Uncomfortable discussing trade-offs, risks, or constraints with management

What success looks like:

In your first 6–12 months, success in this role looks like:

• Reduced uncertainty and risk on key data and AI initiatives
• Clear delivery plans where ambiguity previously existed
• Data and AI products with well-defined, measurable success metrics
• More predictable iteration and delivery across the team
• Emerging technical leadership and increased trust from engineers, product, and management

Benefits:

• 25 Days of Annual Leave
• FitPass membership
• Private Health Insurance
• Internal Reward & Recognition Tool Kudos