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Data & AI Governance Engineer

Stále hľadajú

Swiss Re

Twin City B, Mlynské nivy, Bratislava, Slovakia

Vzdialenosť od teba uvidíš po zadaní adresy vo výpise ponúk.


Plat

2 400 - 4 100 € hrubého

For Slovakia the base salary range for this position is between [EUR 2,400] and [EUR 4,100] per month (for a full-time role). The specific salary offered considers: • the requirements, scope, complexity and responsibilities of the role, • the applicant’s own profile including education/qualifications, expertise, specialization, skills and experience. In addition to your base salary, Swiss Re offers an attractive performance-based variable compensation component, designed to recognize your achievements. Further you will enjoy a variety of global and location specific benefits. Eligibility may vary depending on the terms of Swiss Re policies and your employment contract.

Úväzok

Práca na plný úväzok

Vzdelanie

Vysokoškolské I. stupňa (bakalárske)

Jazyky

Angličtina (Stredne pokročilá)

Zaradené

Informačné technológie, Databázový analytik, IT analytik, Python programátor


O pozícii

Náplň práce, právomoci a zodpovednosti:
Unlock the Power of Data with Us! In a world where data is ubiquitous, we're seeking talented professionals to provide the structure and processes that unleash the full potential of our inhouse data, powering cutting-edge AI-based applications. Join our dynamic team and help shape the future of data governance!

About the Role
In this role, you will be using a combination of technical expertise and leadership skills to:
• Drive engineering excellence by defining and support of coding & architectural best practices
• Design and develop specialized upskilling programs for data, ML, and AI domains
• Create internal tools used by technical teams to improve and monitor project development processes and quality
• Conduct independent technical reviews for projects and provide architectural guidance to development teams
• Foster a culture of data & engineering quality through stakeholder engagement, training, and consulting
• Guide engineering teams in implementing data governance policies and collaborate on policy creation
• Work closely with internal Tech and Business stakeholders at all levels to integrate quality standards
• Stay current with the latest technology trends and regulatory changes impacting data & engineering quality

About the Team
You'll join a diverse and impactful team that sits at the intersection of AI technology, policy, and engineering excellence. As the global focus point of data governance in the company, we shape how Data & AI is governed across the organization, ensuring our data landscape is discoverable, up-to-date, and follows engineering best practices. We support hybrid and international collaboration, working closely with engineering teams across locations including Zurich, Bratislava, Bangalore, and beyond.

Zamestnanecké výhody, benefity:
You can look forward to extra rewards and benefits including:
- Attractive performance-based bonus
- Ultra flexible working time in hybrid setup, allowing you to work also from home
- Modern office spaces in attractive location
- 5 additional days of holiday
- Lunch allowance fully paid by Swiss Re
- Referral bonus
- Pension & risk insurance contribution
- Sick days and sick leave support
- Public transport benefit
- Multisport card

Informácie o výberovom konaní:
We are an equal opportunity employer, and we value diversity at our company. Our aim is to live visible and invisible diversity – diversity of age, race, ethnicity, nationality, gender, gender identity, sexual orientation, religious beliefs, physical abilities, personalities and experiences – at all levels and in all functions and regions. We also collaborate in a flexible working environment, providing you with a compelling degree of autonomy to decide how, when and where to carry out your tasks.

We provide feedback to all candidates via email. If you have not heard back from us, please check your spam folder.

Požiadavky na zamestnanca:
We understand that nobody meets 100% of requirements. If you meet some of the criteria below and are genuinely curious about the world of data engineering and governance, we'd be delighted to connect with you.

We are looking for candidates who meet these requirements:
• Degree in Computer Science, Information Management, Engineering, Statistics, Mathematics, or a related field, or equivalent experience. We welcome different levels, including graduates.
• Knowledge of Python and/or TypeScript for backend and/or full-stack tool development.
• Ambition to promote software engineering best practices in production grade data ingestion and transformation pipelines.
• Commitment to staying updated with the latest industry trends, technologies, and regulatory changes.

These are additional nice to haves:
• Experience in distributed computing/databases (e.g., Spark)
• Experience in building/designing data processing pipelines and data dashboards
• Interest in working closely with data engineers, data scientists, and domain experts
• Experience engaging with stakeholders at all levels, including senior management and external partners
• Drive to promote adherence to data governance policies and actively participate in defining these policies

If you don't have some or any of these qualifications but are eager to learn, we still encourage you to get in contact with us!

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