Principal Data Engineer

Nasze wymagania

• Proven ability to influence executive-level stakeholders and collaborate effectively across multiple domains.
• Strong problem-solving and decision-making skills, with experience addressing complex, ambiguous, and cross-system challenges.
• Ability to lead through uncertainty, transformation, and changing priorities.
• A track record of setting engineering standards, driving continuous improvement, and raising capability across teams.
• Experience coaching engineers and contributing to the development of high-performing teams and engineering communities.
• Strong expertise in distributed data processing systems and architectures.
• Deep knowledge of data modelling, storage, access, and processing patterns.
• Proven experience delivering large-scale data platforms and production-grade data pipelines.
• Strong programming skills in Python and SQL.
• Hands-on experience with Spark, PySpark, or Scala.
• Experience using DBT for data modelling and transformation.
• Strong knowledge of cloud platforms, including GCP, Azure, and AWS.
• Experience with data platforms and services such as Databricks, BigQuery, and Azure Data Factory.
• Strong understanding of DevOps and DataOps practices, including CI/CD, Git, Terraform, Docker, and Kubernetes.
• Experience with data quality tools and testing frameworks, including Great Expectations.
• Deep understanding of batch, streaming, and event-driven data architecture patterns.
• Strong knowledge of cloud-native and distributed systems design.
• Experience designing resilient, scalable, and observable systems.
• Proven ability to optimise data platforms for performance and cost efficiency.
• Excellent command of English (written and spoken).

Twój zakres obowiązków

• Define and drive the data platform and data engineering strategy, aligned with Group Technology objectives.
• Lead architecture decisions and establish engineering standards, best practices, and scalable design patterns across data pipelines, storage, and processing.
• Partner with Architecture and Product teams to shape long-term platform roadmaps and capabilities.
• Design and deliver robust, production-ready data platforms and pipelines that are scalable, resilient, high-performing, and cost-efficient.
• Champion modern data engineering practices, including CI/CD, automated testing, observability, DevOps, and platform automation.
• Drive data quality, governance, and security standards while promoting reusable data products and shared platform capabilities.
• Provide technical leadership across multiple squads, influencing engineering decisions and collaborating with senior stakeholders across Engineering, Product, Architecture, and Technology.
• Lead complex, business-critical initiatives spanning multiple teams, systems, and geographies.
• Mentor and coach engineers across the Data Engineering Chapter, fostering knowledge sharing, continuous learning, and engineering excellence.
• Support hiring, onboarding, and capability development while helping build a strong engineering community.
• Stay ahead of emerging technologies, evaluating and introducing new tools and approaches that deliver measurable value.
• Drive continuous improvement across the data engineering landscape, ensuring technical solutions support customer and commercial outcomes while balancing quality, speed, cost, and risk.

O projekcie

Tak organizujemy naszą pracę

To oferujemy

• 29,000 - 39,000 PLN gross per month on an employment contract
• Private medical healthcare at LUXMED (including dentalcare) for you and your family
• Medicover sports card (Fit&More package)
• Life insurance financed by the employer
• 30-minute lunch break included in the 8-hour working day
• Work in a highly professional and stimulating atmosphere
• Training & Buddy programme that will allow you to quickly adapt to your new role
• Wellbeing programme for employees
• Co-financing of monthly tickets for the public transport in Krakow
• Comfortable working environment in the office and the possibility of home office
• Language courses, accounting courses, access to LinkedIn Learning and the possibility of co-financing studies and certification
• Employee referral programme

Takie dajemy możliwości rozwoju

• mentoring
• wymiana wiedzy technicznej w firmie

Benefity

• dofinansowanie zajęć sportowych
• prywatna opieka medyczna
• dofinansowanie nauki języków
• dofinansowanie szkoleń i kursów
• ubezpieczenie na życie
• spotkania integracyjne
• opieka stomatologiczna
• brak dress code’u

Etapy rekrutacji

• 1.
  Send in your application
• 2.
  Talent Acquisition team will then review your application
• 3.
  You’ll have a telephone interview/one to one conversation
• 4.
  You’ll be invited to a face to face or virtual interview
• 5.
  Recruiter will be in touch with feedback and next steps

Kingfisher