Acting as a Data Engineering SME on client projects and internal initiatives,
Gathering business requirements regarding data products and addressing them with technical solutions,
Building cloud solutions with Microsoft Azure services, including Databricks, Data Lake Storage, Data Factory, Synapse, Cosmos DB and more,
Designing, implementing and monitoring cloud-based ETLs,
Supporting GenAI use cases with data pipelines and relevant data structures, e.g. vector databases,
Guiding junior team members and reviewing their code,
Regular communication with project stakeholders.
requirements-expected :
At least 3 years of relevant professional experience,
Working experience with cloud services for building high-performance data pipelines with Python, Spark and SQL,
Experience with processing large volumes of data, both structured and semi-structured,
Strong communication skills,
Min B2 in English, written and spoken,
Good knowledge of Python and SQL,
Practical knowledge of version control in git,
Familiarity with Scrum or other agile PM methodologies,
Familiarity with Linux and bash scripting.
offered :
Work flexibility - hybrid working model, flexible start of the day, workation, sabbatical leave,
Development and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co/financed by PwC and conversations with native speaker,
Wide medical and wellbeing program - medical care package (incl. dental care, freedom of treatment, physiotherapy), coaching, mindfulness, psychological support, education through dedicated webinars and workshops, financial and legal counseling,
Possibility to create your individual benefits package (a.o. lunch pass, insurance packages, concierge, veterinary package for a pet, massages) and access to a cafeteria - vouchers, discounts on IT equipment and car purchase,
3 paid hours for volunteering per month,
Additional paid Birthday Day off,
And when you start enjoying PwC as much as we do, you may recommend your friend to work with us.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
life insurance
employee referral program
Employee Assistance Program
birthday day off
additional benefits e.g. medical pet care, lunch pass
