Job Location

WARSAW DOWNTOWN OFFICE

Job Description

We are looking for a Senior Data Engineer to join our IT Data team for Intelligent Operations in Warsaw. In this role, you will be responsible for building systems that ingest and convert IT data into usable models for business analysts, data science and machine learning solutions. You will work on data transformation and visualization leveraging various Azure components & tools.

Responsibilities

Understand the business requirements and convert them into technical design of data pipelines and data models

Write code to ingest, transform and harmonize raw data into usable refined models

Analyze multiple data sets associated with the use cases in-scope to effectively design and develop the most optimal data models and transformation

Introduce improvements and innovations to development approaches, data engineering practices and architecture strategies

Automate incident detection processes based on multiple data sets, real-time data stream analysis

Suggest and implement system architecture improvements

Job Qualifications

Python and SQL programming skills

Cloud Understanding

Experience with cloud technologies, specifically Microsoft Azure stack (including Databricks, AAS, Cosmos DB etc.) Previous experience with or understanding of Data Models and Knowledge Graphs

PySpark and Hive programming skills

Demonstrated skills in database/data modeling (acquisition from various sources, transformation and sharing)

Hands-on experience writing clean, effective code

Nice to Have

Good technical skills in data visualization tools like Power BI

Knowledge and/or experience with using or building CI/CD tools

Knowledge of SCRUM and DevOps methodologies

What we offer:

Responsibilities as of day 1. You will have project ownership and autonomy to deliver change and results from the beginning.

Dynamic and encouraging work environment. At P&G our employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance.

Continuous mentoring, you will work with hardworking people and receive ongoing coaching and mentoring from your line manager and other colleagues. Corporate and functional training will enable you to succeed and develop from day one.

Industry Certifications (ITIL, DevOps, MS portfolio etc), full additional benefit program like private health care, P&G Dynamic Living programs like sport cards, in-office fitness center, PG stock options, saving plans, lunch subsidy, regular salary increases and possible promotions, flexible work arrangements, mentoring programs & trainings.

Who we are:

P&G was founded over 180 years ago as a simple soap and candle company. Today, we are the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We’ve spanned three centuries thanks to three simple ideas: leadership, innovation, and citizenship. The insight, innovation and passion of hardworking teams has helped us grow into a global company that is governed responsibly and ethically, that is open and transparent, and that supports good causes and protects the environment! We commit to provide you with equal opportunities in employment! We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

At P&G #weseeequal

We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.

We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience.

Job Schedule

Full time

Job Number

R000110430

Job Segmentation

Experienced Professionals (Job Segmentation)