Trwa ładowanie. Prosimy o chwilę cierpliwości.
PwC
Data aktualizacji: 2022-10-04
Warszawa, mazowieckie
IT, Konsulting, Inżynieria
angielski
Data aktualizacji: 2022-10-04 Aplikuj
PwC is a powerful network of over 250.000 people across 158 countries. All committed to deliver quality in Assurance, Tax, Advisory & Technology services. Match your curiosity with continuous opportunities to learn, grow and make an impact. Join PwC and be a game changer.

PwC is a powerful network of over 250.000 people across 158 countries. All committed to deliver quality in Assurance, Tax, Advisory & Technology services. Match your curiosity with continuous opportunities to learn, grow and make an impact. Be who you are and be a game changer.

 

We are looking for experienced Data Engineers to join our rapidly extending Data Engineering unit within PwC Data Analytics. Your main role would be to lead small project teams consisting of other Data Engineers, Machine Learning specialists and Python developers.You will have an opportunity to work on a range of projects for Polish and foreign clients, attend specialized trainings, develop business and managerial skills and share knowledge with experts within the Data Analytics team.

Senior / Lead Data Engineer

 

Our team

In PwC Data Analytics we deliver data-driven solutions by collaborating with business experts from other teams in PwC (Strategy & Operations, Financial Services, Digital Transformation, etc.), developers and professionals from IT. Our team employs specialists in Machine Learning, Big Data, statistics, software development and more, with various backgrounds (computer science, mathematics, physics, engineering and economics) and degree of seniority (from juniors with 1-2 years of experience to experts with 10+ years on the market).

 

Responsibilities

  • Leading project teams with 1-5 team members;

  • Acting as an SME on client projects and internal initiatives;

  • Gathering business requirements regarding data products and addressing them with technical solutions;

  • Setting up Microsoft Azure services, including Azure Databricks, ADLS, Azure Data Factory;

  • Designing, implementing and monitoring cloud-based ETLs;

  • Regular communication with project stakeholders.

 

Candidate’s profile

  • At least 4 years of professional experience;

  • Working experience with Microsoft Azure (Blob storage, Databricks, Data Factory) or Hadoop ecosystem (Spark, Hive, YARN) or GCP/AWS alternatives;

  • Experience with processing large volumes of data;

  • Strong communication skills;

  • Min B2 in English, written and spoken;

  • Good knowledge of Python;

  • Practical knowledge of version control in git;

  • Familiarity with Linux and bash scripting.

 

Additional assets will be

  • Experience with leading project teams;

  • Familiarity with Docker and Kubernetes;

  • Experience in Retail, FS, Energy or Public sector.

 

We offer

  • Working in an international team;

  • Flexible working hours and possible home office;

  • A broad offer of technical trainings and conferences;

  • Subsidized language courses;

  • Regular team building initiatives, including hackathons, parties and away-days;

  • Dynamic, project driven work environment;

  • Excellent working conditions and friendly working atmosphere;

  • Attractive compensation with additional benefits package.

PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - list of entities: https://www.pwc.com/gx/en/about/office-locations/poland.html, with its registered seat in Warsaw (00-633), Polna 11 Street, („PwC” or “we”) will be the controller of your personal data submitted in your application for a job. Your personal data will be processed for the purpose of performing a recruitment process for the job offered. If you give us explicit consent, your personal data will be also processed for participation in further recruitment processes conducted by PwC and sending notifications about job offers in PwC or job related events organized or with the participation of PwC such as career fair. A full information about processing your personal data is available in our Privacy Policy.