- Participate in Data Platform & Engineering delivery for clients from a variety of industries.
- Work with teammates to come up with the most efficient technological solutions to address clients' needs. In particular: deliver advanced scalable data processing architectures, design and implement custom data processing tools (Python, PySpark etc.), ensure efficient data movement including data cleansing, transformation & continuous monitoring, enable real-time analytics and stream processing.
- Write unit tests for delivered scripts, notebooks etc.
- Share your knowledge with less experienced teammates.
- Adhere to the company's Delivery Excellence framework, contribute to Data Solutions Practice ways of working and internal delivery guidelines.
- Professional experience in Data Engineer role.
- At least 2 years of hands-on experience in Databricks\PySpark\Python.
- Good knowledge of SQL language.
- Hands-on experience with data related tech stack from at least one of three major cloud providers.
- Good knowledge of at least one ETL tool (e.g. Azure Data Factory, Informatica, Cloud Data Fusion, AWS Glue, Apache NiFi etc.)
- Experience with BI tools and reporting models (PowerBI, Tableau, Alteryx, Looker etc.)
- Practical knowledge of unit testing.
- Team player (experience in working in an international environment is a plus).
- Strong analytical skills.
- Very good communication skills (both oral and written communication).
- Good command of English (C1 level).
- Minimum communicative knowledge of Polish.
- Hands-on experience with Delta Lake
- Hands on experience with Azure cloud
- Hands-on experience with Gen AI tools supporting Data Engineering activities
- Hands-on experience with Snowflake
- Hands-on experience with software development principles and standards (e.g: PEP, DRY, SOLID, Design Patterns)
- Experience with CI/CD tools
- Certification in Azure / AWS / Google cloud (data engineering paths)
- Certification in Databricks
- 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.
- Complete the form and send your resume.
- Talk to our Recruiter on a short HR screening call.
- Get to know each other better at a recruitment interview
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Data Engineer - Gdańsk, Polska - PwC IT Services sp. z o.o.
Opis
Description
& SummaryThe area of data management at PwC Poland is critical to all digital projects, which is why the Data Solutions department is made up of a group of super-specialists who fully understand our clients and business needs. We specialize in elevating clients data capabilities - both on premise and in the cloud. From building advanced data platforms and engineering services to offering comprehensive data analytics, BI, and integration, we ensure seamless data migration, effective visualization, and insightful reporting. Our expertise in data modeling and integration empowers your business with actionable insights, driving informed decisions and strategic growth.
We are looking for:
Data Engineer
Your future role:
Apply if you have:
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Send your application today In case you have any additional questions, contact us:
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