Analytical Thinking (regular)
Data Solution Engineer
Job Description & Summary
PwC IT Services is a great place to work for ambitious, open-minded and responsible people. We have been implementing the most innovative customer experience solutions for our clients since 2005.
We are partners of the largest software providers in the world Salesforce, Microsoft, Mulesoft and many more. We believe that our success comprises not only modern technologies we use but, above all, well trained, competent people.
We are In Touch with Tomorrow helping our clients rise and develop faster.
Every IT solution is based on data, therefore the area of data management is key for all IT projects. The DATA Department at PwC IT Services is a group of specialists with deep understanding of business needs of our customers allowing the solutions we design to fully meet the expectations of all users.
We design Data Warehouses, configure Reporting Systems, plan and execute Data Migration processes for companies from various industry sectors.
Our engineers take care of Data Quality, optimize SQL and procedural code regardless of the technology and define flows in ETL / ELT processes
Analysts and Data Architects develop an enterprise-wide approach to data and data related issues.
Data Solution Engineer
Job description :
Design and implementation o BI Data warehousing solutions,
Design and implementation of data ingestion and data processing pipelines,
Data migration to SaaS systems such as Salesforce, Workday, Dynamics 365 etc.,
Data quality verification and assurance,
Work with customers to identify and document requirements in the data processing integration migration area(s).
Candidate profile :
Professional experience in design and implementation of BI ETL Data warehousing solutions,
Hands-on experience with Azure Data Platform (e.g. Azure Data Factory, Azure Databricks, Azure SQL, Azure Synapse etc.),
Very good understanding of data modelling principles. Ability to design data models for transactional and or analytical databases,
Very good knowledge of procedural SQL languages (T-SQL, PL / SQL),
Very good knowledge of relational databases (in particular MS SQL Server, Oracle),
Very good knowledge of at least one ETL tool (in particular : Azure Data Factory, Informatica, Microsoft SSIS, Talend),
Strong analytical skills,
Very good communication skills (both oral and written communication),
Good command of English (C1 level).
Highly appreciated :
Hands-on experience with Snowflake
Hands-on experience in SparkSQL, pySpark, Spark
Data migration experience
Knowledge of programming or scripting languages e.g. Java, Python etc.
Our offer :
Great job in an even greater team and in the package :
Opportunity to develop competences and gain experience in the development of IT systems for the largest Polish and European companies.
An interesting job in a group of professionals with many years of experience in international companies.
Long term, stable cooperation.
Long list of benefits (private health care, multisport, life insurance and more).
Different career paths to choose from, training and development programs.
Friendly work atmosphere of a technology company.