Data Engineer (m/f/d)

Line of Service

Internal Firm Services

Industry/Sector

Not Applicable

Specialism

IFS - Risk & Quality (R&Q)

Management Level

Associate

Job Description & Summary

Meet your future team

You will join the Data Factory within the Central Data Office, a multidisciplinary team designing and operating the firm’s core data ingestion and integration platforms. You will work closely with data engineers, analysts, IT teams, and business stakeholders to ensure trusted data is available for analytics and decision‑making across the firm.

What your role will look like

As a Data Engineer, you play a key role in evolving and stabilising PwC Luxembourg’s data platform. Your work directly supports the availability, reliability, and scalability of data used across analytical and business use cases.

Design, build, and maintain robust data pipelines on Databricks to ingest and transform data from diverse sources

Evolve and optimise data processing architectures to improve performance and scalability

Ensure high standards of data quality, monitoring, and availability in production

Contribute to the modernisation and migration of existing pipelines and tools

Diagnose and resolve complex data issues with a focus on sustainable solutions

Collaborate with analysts, IT, and business teams to deliver trusted data outcomes

Your growth and opportunities

You will deepen your expertise in modern cloud‑based data engineering while contributing to a central, firm‑wide data platform. Over time, your scope expands through ownership of critical pipelines, architectural contributions, and technical mentorship.

The skills you bring

Proven experience in data engineering with strong hands‑on Databricks expertise

Proficient use of Python and/or .NET and advanced SQL for data processing

Experience working in Microsoft Azure cloud environments

English: C1 professional proficiency ; French: C1 professional proficiency

Ways of working:

Think critically and structure complex information clearly

Collaborate effectively with diverse stakeholders

Proactively learn, adapt, and improve ways of working

You act with integrity, handle confidential information with care, and uphold high ethical standards in every situation

Additional skills that would support your success

Experience with graph databases ( e.g. Neo4j)

Familiarity with Terraform, Docker, or infrastructure‑as‑code

Exposure to Power BI Cloud or SAP BO / SSIS / SSRS

Encouragement to apply

The skills listed reflect what matters most to succeed in this role. If your experience aligns with them, even if your path looks different, we encourage you to apply and start the conversation with us.

Take your next step

Bring your data engineering expertise to a role where platform reliability, collaboration, and impact matter every day. Shape how data is ingested, trusted, and used across the firm while growing your technical depth and influence. Grow here. Go further.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Strategy {+ 22 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date