Data Engineer – Data Migration & Analytics
PwC Open At a glance
Mid-level Data Engineering role at PwC. Bucharest · full-time.
Pay not stated Data Engineer salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and maintain ETL workflows that move information from multiple sources into usable outputs
- Use SQL to extract, reshape, check and report on data, and write Python and PySpark jobs for large datasets
- Clean and profile data, check its quality, and document how it moves and how technical solutions work
- Define migration mappings and transformation rules with client stakeholders, then reconcile data through launch
- Troubleshoot client data issues and help test, deploy and improve data solutions
What you bring
- A bachelor's degree in a related field or equivalent practical experience
- Basic knowledge of ETL workflows, relational databases, data modelling, warehousing and data quality
- Basic knowledge of Python, SQL and PySpark or Apache Spark
- Basic knowledge of HTML, CSS and JavaScript
Who this fits
This mid-level role suits you if you want hands-on work across data migration, analytics and client troubleshooting. You’ll collaborate with client stakeholders and teammates on migration checks, testing and deployment.
From the employer
Job Description & Summary
PwC is currently looking for highly motivated colleagues to join our Data team within BAS. The selected candidate will provide PwC data related services from the existing portfolio as well as new products being developed for our clients, with a focus on data migration and analytics.What we are looking for:
· Active participation in Big Data and analytics projects (implementation, migration, or support/maintenance).
· Develop and maintain ETL processes to extract, transform, and load data from multiple sources.
· Write SQL queries for data extraction, transformation, validation, and reporting.
· Build data processing scripts and jobs using Python and PySpark on large datasets.
· Perform data cleansing, profiling, and quality checks to ensure accuracy and consistency.
· Document data flows, mappings, and technical solutions.
· Contribute to simple web-based interfaces and reports using HTML, CSS, and JavaScript.
· Act as liaison with the client for troubleshooting: investigate, analyse, and solve data-related issues.
· Support testing, deployment, and continuous improvement of data solutions.
· Support data migration activities end to end: define source-to-target mapping and transformation rules, validate them with client stakeholders, and perform reconciliation checks through cutover and go-live.
What we need from you:
· Bachelor's degree in Computer Science, Informatics, Mathematics, or a related field (or equivalent practical experience).
· Basic knowledge of ETL concepts and data processing workflows.
· Basic understanding of data concepts: relational databases, data modelling, data warehousing, and data quality.
· Basic knowledge of Python and SQL.
· Basic knowledge of PySpark / Apache Spark.
· Basic knowledge of HTML, CSS, and JavaScript.
· Exposure to cloud data platforms (e.g., Azure, AWS, GCP, or Databricks) is a plus.
· Analytical mindset, attention to detail, and eagerness to learn.
· Good communication skills and the ability to work in a team.
· Understanding of banking products and processes is a plus.
We Offer:
· Interesting career development options and challenging assignments.
· A professional and team-oriented work environment.
· Great colleagues to work with.
· Up-to-date technologies and methodology.
· Professional development and training opportunities.
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