Data Engineer
PA Consulting
Overview
As a Data Engineer in PA’s Digital & Data team, you will design and build data pipelines and data platforms on AWS to enable scalable analytics for diverse client projects. You’ll collaborate with product, design and cross‑disciplinary teams to translate complex data needs into production solutions. You will solve real-world problems through data movement, warehousing and lake architectures, delivering high‑performing, customer‑centric outcomes. This role offers hybrid work, broad exposure to sectors, and a clear path on a technical career track within a supportive expert community.
Pay / Benefits- Private healthcare for you and family
- 25 days annual leave (+5 days option)
- Generous pension
- Community and charity involvement
- Annual performance bonus
- PA share ownership
- Design and deploy production data pipelines on AWS
- Build data warehouses and data lakes for analytics
- Collaborate with cross-functional teams to solve client problems
- Participate in agile, knowledge-sharing and mentoring within the tech community
- Conduct whiteboarding sessions and problem-solving with teams and clients
- Work on client sites or in office with flexible hybrid arrangements
- Problem-solving and analytical thinking
- Collaborate with multiple stakeholders in fast-paced environments
- Experience designing/deploying data pipelines in big data architectures using Java, Python, Scala, Spark, SQL
- Experience writing scripts, API data extraction, SQL querying
- Experience handling large structured/unstructured data and integrating data from multiple sources on AWS using native or custom programming
- Collaborative mindset
- Analytical thinking
- Stakeholder engagement
- AWS data and analytics services (EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB)
- Java, Python, Scala, Spark, SQL
- ETL, data warehouse and data lake design/building
Reference: WJ-747_30174881