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PwC

Data Engineer – Data Migration & Analytics

PwC Bucharest, Romania

Professional Services · 10,001+ employees

Yesterday
data-engineer Junior (0-2 yrs) Full-time Romania
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About the role

The candidate will develop and maintain ETL processes and data migration workflows to support client analytics projects. They will also perform data cleansing, validation, and troubleshooting to ensure high-quality data delivery.

What they look for

SQL Python PySpark Apache Spark ETL Data migration Data warehousing Data modeling Data cleansing HTML CSS JavaScript Cloud platforms Data profiling Analytical mindset

Requirements

A bachelor's degree in Computer Science, Informatics, Mathematics, or a related field is required. Candidates should possess foundational knowledge of Python, SQL, PySpark, and data processing workflows.

Benefits

Career development options Challenging assignments Professional work environment Training opportunities

Full description

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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