Data Engineer Gdańsk

Data Engineer
Gdańsk
Gdańsk, Pomeranian Voivodeship, Polska

technologies-expected :

• Python
• SQL

• 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.

• At least 2 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.

• 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,
• Medical and wellbeing program - medical care package, mindfulness, psychological support, education through dedicated webinars and workshops, financial and legal counseling,
• Possibility to create your individual benefits package (a. o. lunch pass, 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.

• 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
• flexible working time possible