Praca Data Integration Engineering Manager Warszawa, mazowieckie; Wrocław, dolnośląskie

Praca Data Integration Engineering Manager Warszawa, mazowieckie; Wrocław, dolnośląskie

JTI Polska profil

Jesteśmy wiodącą, międzynarodową firmą tytoniową, wywodzącą się z Grupy Japan Tobacco. Działamy w 130 krajach na świecie, zatrudniamy ponad 45 tys. osób i mamy w swoim portfolio jedne z najbardziej znanych marek, w tym Camel, LD, Winston oraz Logic dostępne na polskim rynku.

W Polsce zatrudniamy prawie 3 tys. pracowników i jesteśmy trzecim graczem w branży tytoniowej. Wkraczając na polski rynek w 2007 roku, postanowiliśmy, że na pierwszym miejscu zawsze będziemy stawiać naszych pracowników. Tworzymy kulturę opartą na współpracy, dzięki czemu w naszych zespołach panuje wyjątkowa atmosfera. Szerokie zakresy odpowiedzialności dają możliwość zdobycia nowej wiedzy i umiejętności, co przekłada się na świetną jakość działania oraz szybki rozwój naszej firmy. Stosujemy także najlepsze praktyki w zakresie rozwoju talentów, wdrażania nowo zatrudnionych osób czy możliwości szkoleniowych.

Nasze starania, by być najlepszym pracodawcą dla naszych pracowników, co roku zostają doceniane przez Top Employers Institute. Najlepszym dowodem na to jest przyznawany nam nieustannie od 2010 roku certyfikat Najlepszego Pracodawcy nie tylko w Polsce, a także w Europie (1. miejsce w rankingu w 2021 roku) oraz na świecie.

Firma: JTI Polska | Data Integration Engineering Manager

Miejsce: Warszawa, mazowieckie; Wrocław, dolnośląskie

Nr ref. 107721

Opis stanowiska

Position Purpose:

JTI is building a Consumer Data Integration (CDI) team to improve how Consumer data moves across products and platforms. The team will build on an ongoing diagnostic, coordinate priority stabilization outcomes, strengthen ownership and governance, and shape the foundations of a longer-term integration capability. This is an early-stage team with a clear purpose, but not a finished blueprint. The people joining will help define practical ways of working, make thoughtful technology choices and build a capability that is useful, reliable and sustainable. The work combines modern data and integration technologies with close collaboration across business, product, engineering, governance, and operations teams. 

As the CDI Engineering Manager, you will define and continuously improve the standards, tools and technical practices behind secure, scalable and reusable integration products. You will own engineering quality gates, developer experience and the AI-enabled software delivery lifecycle, working within the established CDI strategy and architecture guardrails.

This is an opportunity to influence engineering practices across cross-functional teams and external partners, while enabling greater automation, delivery quality and continuous improvement.

What will you do:

  • Define, maintain and drive the adoption of CDI engineering standards, reusable patterns, secure coding practices and quality gates across integration products and delivery teams.
  • Design and improve the CDI AI-enabled software delivery lifecycle, including AI-assisted engineering, automated testing, evaluation, review and human approval controls.
  • Improve engineering tooling, CI/CD, automation, environments and developer workflows in partnership with the Delivery Manager, Platform Architect and engineering contributors.
  • Establish engineering metrics and assurance practices that improve testability, maintainability, security, scalability and reuse, while ensuring visibility of technical debt and quality trade-offs.
  • Coach internal teams and external partners, share reusable practices, assess emerging engineering capabilities and translate learning into practical delivery improvements.
  • Recruit, motivate and support the professional development of team members reporting directly and indirectly to the role.

Wymagania

Who are we looking for – requirements:

  • University degree or equivalent in Computer Science, Information Systems, or a related field.
  • 8+ years of experience in software, data, integration, platform, or DevOps engineering within enterprise environments.
  • Strong knowledge of Azure cloud platforms, CI/CD, test automation, observability, and engineering best practices.
  • Experience defining engineering standards, quality gates, and secure software delivery practices.
  • Proven ability to lead engineering improvements across teams and external partners, driving quality, reliability, and delivery outcomes.
  • Knowledge of DevSecOps, automated testing, and engineering governance. Experience with Azure DevOps and GitHub Enterprise is an advantage.
  • Experience with AI-assisted engineering, developer productivity tools, and engineering metrics. GitHub Copilot experience is an advantage.
  • Experience with data and integration platforms is an advantage, including technologies such as Azure Data Factory, Azure Databricks, Microsoft Fabric, Purview, Event Hub, Event Grid, API Management, and Azure Functions.
  • Strong communication, coaching, stakeholder management, and influencing skills.
  • Fluent written and spoken English.
  • Relevant professional certifications are an advantage.

Oferujemy

What we offer:

  • Development opportunities in an international environment, with access to diverse projects, learning platforms and professional courses.
  • The opportunity to shape engineering standards and AI-enabled delivery practices for a global integration capability.
  • A culture of trust, ownership and “freedom with responsibility”.
  • Flexible work arrangements, depending on the selected location.
  • A diverse and inclusive workplace where you can bring your human best.

Informacje dodatkowe

Next Steps:

After applying, if selected, please anticipate the following within 1-3 weeks of the job posting closure: Phone screening with Talent Advisor > Assessment tests > Interviews > Offer. Each step is eliminatory and may vary by role type.

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