Trwa ładowanie. Prosimy o chwilę cierpliwości.
Przeglądana oferta pracy jest nieaktualna
Deloitte
Data aktualizacji: 2022-03-30
Warszawa, mazowieckie
Konsulting, Analiza
angielski, polski
Data aktualizacji: 2022-03-30
REKRUTACJA ZDALNA

Oferta pracy jest nieaktualna

Pracodawca zakończył rekrutację na to ogłoszenie

Who we're looking for

Join the best company providing AI & Data Science services (No. 1 according to Gartner Magic Quadrant for Data and Analytics Service Providers 2021). Design and build machine learning models for the largest companies and institutions in Europe. Grow your career with technology vendors such as AWS, Google, IBM, Microsoft and SAS.

Requirements:

  • Bachelor/engineer degree (preferred computer science, statistics, mathematics, econometrics, or any related field)
  • 4+ years of professional experience in implementing/delivering data services
  • Experience with cloud data environments (one of GCP, AWS, Azure)
  • Extensive experience with SQL, ETL and data transformation techniques and patterns
  • Working experience with OLAP, Dimensional Modeling, Transactional data, normalization
  • Interest in Big Data ecosystem and frameworks (Apache Beam, MapReduce, Spark, Kafka and Databricks) would be a plus.
  • Familiarity with NoSQL databases (e.g. MongoDB, Cassandra, HBase, Elasticseach) would be a plus.
  • Passion to grow and learn
  • Team-player mindset
  • Good level of English
4+
Years of Experience
Bachelor's degree
Bachelor's degree
Polish
Polish
English
English

Other prerequisites

BIG DATA
BIG DATA
SQL
SQL
ETL
ETL

Your future role

  •  Build scalable, highly performant cloud-based solutions for integrating a variety of raw data sources, serving as a solid foundation for data loading and transformation problems.
  • Develop and deploy batch & real-time data integration solutions, ETL processes, automated workflows that ingest data from both internal databases and external sources to manipulate, map and feed them into staging and dimensional model layers.
  • Design, implement and enhance conceptual, logical and physical data models, i.e. database architectures and views addressing particular needs of analytics and data science.
  • Working with clients throughout the whole project cycle (Business understanding, Data understanding, Modeling, Evaluation and Deployment)
  • Cooperation with subject matter experts from risk advisory and technical consultants to jointly deliver high quality projects for the customers

What we offer

  • A clear career path and Career Coach, who will guide you through the organization and your opportunities
  • Wide range of trainings and knowledge development opportunities, including financing of your certificates and workshops in a chosen career specialization
  • A unique opportunity to develop the AI career with a great team of experienced peers and cooperation with Deloitte AI Institute
  • Challenging tasks with the freedom of action in your field
  • Friendly team atmosphere, flexible working set-up and excellent working conditions
Flexible working hours
Flexible working hours
Health insurance (mixed package)
Health insurance (mixed package)
Work for well-known brands
Work for well-known brands
Multisport
Multisport
Friendly coworkers
Friendly coworkers
Deloitte Adventure Team
Deloitte Adventure Team
Networking
Networking
Home office
Home office

About Deloitte

Deloitte is a variety of people, experience, industries and services we deliver in 150 countries of the world. It is an intellectual challenge, a good starting point for your career, and an excellent opportunity for continuous development and gaining valuable life experiences. What you only must do is to take the first step – press the apply button and send us your CV, go through all the stages of the recruitment process and sign a contract with us. Deloitte is simply your best choice.

About the team

Data & AI Team focuses on the practical applications of data analytics and artificial intelligence. Broadly understood risk management is a key area of companies' activity, covering both well-known applications such as credit scoring, fraud analytics or market risk analytics, but also new areas such as deepfakes detection, cyber intrusion, climate risk analytics, dynamic risk scoring. We also deal with the most important areas determining the success of implementations, such as AI explainability or AI fairness, and we take part in discussions on the regulation of the AI market in the European Union.