Senior Data Engineer

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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.

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.