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PwC

Experienced Data Engineer

PwC is hiring an Experienced Data Engineer in Athens, Greece. 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 Claude, Copilot and Databricks.
  • Level classifies it as a mid-level role.
  • Level lists 3,700+ other open roles at PwC.

AI in this role

Experienced Data Engineer designing ETL workflows, data models, and cloud-based data solutions with optional AI tool exposure.

ClaudeCopilotDatabricksPythonAzure Data FactorydbtAirflowAzureAWS
sqletlel-tdata-modelingdata-engineering

Job Description & Summary


We’re a team that transforms vision into tech-enabled reality. We look for those who see technology not just as tools or platforms, but as the invisible infrastructure behind strategy, performance, and growth. We turn bold ideas into scalable, secure, and human-centered solutions.


SHAPING TOMORROW


Make a real impact, today, and tomorrow, through work that matters. Here, you will tackle today’s toughest challenges with a future-focused mindset; so our clients turn to us first when it matters most.


Make a real impact


In this dynamic environment, we are looking for an ambitious and self-driven Experienced Data Engineer to join our Data Engineering team in Athens.


  • Collaborate with data engineers, visualization specialists, and business analysts to solve complex problems for clients and internal teams in Greece and abroad
  • Translate business requirements into data-driven solutions
  • Analyze source data to identify relationships, hierarchies, patterns, and trends
  • Define solution architecture and select the appropriate technologies and components
  • Design ETL/ELT workflows using available data platform services and tools
  • Develop and optimize data models
  • Document findings and share best practices with colleagues and clients

What you bring matters


  • Bachelor’s degree in Computer Science, Information Systems Engineering, or a related field
  • Knowledge of banking, accounting, and financial services is considered a plus
  • At least 4 years of proven experience in this field is required
  • Advanced knowledge of SQL and Python syntax
  • Understanding of complex data flows through dedicated integration and orchestration tools such as Azure Data Factory and Databricks is required
  • Knowledge of modern data tools such as dlt, Stitch, dbt, SQLMesh, Airflow, or Dagster is considered a plus
  • Experience with cloud technologies such as Microsoft Azure or AWS is preferred
  • Working experience with large datasets is considered a plus
  • Familiarity with logical and conceptual data models
  • Exposure to streaming or real-time data processing is considered a plus
  • Familiarity with AI-enabled development tools such as Copilot, Claude, or similar tools is considered a plus
  • An Azure Data Engineer certificate (or equivalent) is considered a plus
  • An Azure Solution Architect certificate (or equivalent) is considered a plus

BRING YOUR BEST, EVERYDAY


Your skills, integrity, and curiosity make the difference. At PwC Greece, we match that with an environment that brings out your best every day – supported by people who inspire, challenge, and grow with you.


What we offer goes beyond a competitive package. It’s about creating the conditions for you to learn, belong, and deliver impact. That means:


Your work life-balance supported by a hybrid working model

Your creativity sparked in collaborative office spaces

Your career growing through local and global opportunities

Your development advanced with continuous learning and professional certifications

Your well-being cared for with extra leave days and wellness initiatives

Your perspective valued in an inclusive team where your impact matters


Want to unlock new value by applyingyour unique perspective and talents? At PwC Greece, you lead by example. Our standards for quality and care are high – and together we surpass them. We redefine possibilities for our clients and communities.


Challenge accepted?


Our circle of connection matters - it’s at the heart of what we do. Click here (PwC life)


All applicants will be acknowledged and treated in the strictest confidence.


How we rate this

Experienced Data Engineer at PwC rates 20 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.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

SQLETLEl TData ModelingData EngineeringClaudeCopilotDatabricks

Also common in data engineer jobs at this level

Pay

Typical data engineer job
$147k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

  1. Tell me about a project where sql was part of your work. What did you do?
  2. Tell me about a project where etl was part of your work. What did you do?
  3. Tell me about a project where el t was part of your work. What did you do?
  4. Tell me about a project where data modeling was part of your work. What did you do?
  5. Tell me about a project where data engineering was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: SQL, ETL, El T, Data Modeling, and Data Engineering. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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