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PwC

Data Engineer – Data Migration & Analytics

PwC · Data and Analytics

Bucharest

Mid-level

DataAWSAzureCSSDatabricksGCPHTMLJavaScriptPythonSparkSQL

Last seen just now

Posted
1w ago

Posted on 4 November 2026

Workplace
Not specified

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Salary
Not disclosed

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Listing history No signals observed

First seen 4 Nov 2026. Last checked 12 Nov, 04:17 UTC. We read each employer's own career page on a cycle and record what changes; this is what we observed, not a verdict on the role.

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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.

About PwC

PwC is one of the Big Four, and its board here is the global Experienced Careers listing rather than a European one: most of what it carries is Cairo, Kuala Lumpur, Kolkata, Toronto and Manila, with Milan, Warsaw, Barcelona and London among the European entries. The technology work sits in the consulting and internal-technology arms rather than in a product org, so filter by role before judging the count.

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