Data Engineer – Data Migration & Analytics

PwC is hiring a Data Engineer – Data Migration & Analytics in Bucharest, Romania. Level rates it ; you can apply on PwC.

Level's read on this job

Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
Tools and skills the posting cites include Databricks.
Level lists 3,800+ other open roles at PwC.
The role was posted in the last few days.

AI in this role

databricks

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.

How we rate this

Data Engineer – Data Migration & Analytics at PwC rates 33 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.