Data Engineer

3 dni temu

Krakow, Polska Schibsted Tech Polska Pełny etat

technologies-expected :
Python
AWS
Kubernetes
Docker

technologies-optional :
Airflow
Scala

about-project :
You will become a part of the Ads Analytics team, composed of Data Scientists and Data Engineers.
Our daily endeavours encompass working on complex data products , including all stages of development. This involves building ETL pipelines , extracting insights from data , taking charge of our AWS infrastructure and delving into the realm of CI/CD. We also maintain a close cooperation with the engineering team that manages the data infrastructure for advertising.
Moreover, our interactions extend beyond borders. Team members frequently engage with business developers and operations specialists located in our markets Norway and Sweden. This connection is instrumental in maintaining a close link to the business outcomes of our work.

responsibilities :
Developing complex data products to assess the effectiveness of marketing campaigns
Building and maintaining ETL pipelines which process billions of records
Supporting Data Scientist through data provisioning
Maintaining and enhancing the existing AWS infrastructure
Deploying and monitoring data products in production
Mentoring less experienced team members

requirements-expected :
We are seeking a data engineer with extensive experience in processing large volumes of data. The perfect candidate should have a mix of technical & collaborative skills.
We are looking for someone who has:
At least 3 years of experience as a Data Engineer or Python Engineer or ML Engineer
Strong knowledge of Python programming language
Experience with one or more cloud providers, preferably AWS, and a working knowledge of Kubernetes and Docker
Experience with processing large volumes of data through Spark.
Comprehensive experience in various testing methodologies: unit, integration, end-to-end tests, and familiarity with testing frameworks/tools for Python.
Experience with version control systems (e.g. git)
Some working experience with Airflow and Scala (would be a plus)
Familiarity with MLOps concepts: feature stores, model lifecycle management (would be a plus)
Here are the teamwork skills you should have:
Proactivity & Critical Thinking : you know how to initiate change and employ analytical thinking for efficient solutions.
Ownership & Engagement : you are able to take full project responsibility, aligning with teams and stakeholders.
Communication & Collaboration : you have strong communication skills with priority on open communication, you value feedback and foster constructive discussions.

offered :
Yearly bonus (STI - Short Term Incentive) up to 18% according to seniority level
Tax-deductible costs 50% for IT creators
Training budget 4000 PLN per year that can be used for books, conferences, online courses, you name it
Home office supplement 3000 PLN of financial support to make your WFH more enjoyable and healthy
Social package 500 benefit points (1 point = 1zł) transferrable to tickets, multisport, medical care, or a prepaid card
4 extra days off. We’re not minimalists. That’s why you get 4 days more than Polish law requires
In-house trainings for improving your business, tech & soft skills during working hours
Tech Jump - mentoring program for learning completely new frameworks and programing languages
School of leadership competences - training for employees aspiring to become leaders
Leaders Academy - training for leaders developing their competence
Mental health support.
Voucher for 3 online sessions with a professional therapist
Series of mental health-oriented webinars
Flexibility. Sometimes you need to do your stuff and start a day later thanks to flexible working hours
Top-notch equipment. Most modern stuff with MacOs or Windows on board & mobile with either Android or iOS

benefits :
sharing the costs of sports activities
private medical care
sharing the costs of foreign language classes
sharing the costs of professional training & courses
life insurance
remote work opportunities
flexible working time
no dress code
parking space for employees
extra social benefits
employee referral program
extra leave

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