Data Engineer

Overview

In this Data Engineer role, you will design and build scalable AWS-based data solutions to empower client data platforms. You’ll work with cross-functional teams to translate business needs into robust data pipelines, warehouses, and lakes. The position blends delivery on client projects with internal capability-building, underpinned by an inclusive, learning-focused culture. You contribute to high-impact digital transformations that drive measurable outcomes for diverse industries.

Pay / Benefits

• Private healthcare for you and family
• 25 days annual leave (+ 0.5 day on Christmas Eve)
• Generous pension scheme
• Annual performance-based bonus
• PA share ownership
• Cycle to work and tax-efficient benefits

Responsibilities

• Design and deployment of production data pipelines from ingestion to consumption within a big data architecture
• Build and maintain data warehouses and data lakes on AWS
• Collaborate with product, design, and other experts across agile teams to solve client problems
• Write scripts, APIs, and SQL queries to move and transform data
• Ingest and curate data from multiple sources using AWS-native tools or custom programming
• Support internal projects and knowledge sharing within the tech community

Key requirements

• Problem-solving and analytical thinking
• Collaborate with multiple stakeholders in a fast-paced environment
• Experience shaping and deploying data pipelines in big data ecosystems (Java, Python, Scala, Spark, SQL)
• Experience extracting data via APIs and writing SQL queries
• Experience processing large structured and unstructured data on AWS (AWS native or custom coding)

• Collaborative mindset
• Stakeholder management
• Curiosity and willingness to learn
• AWS cloud technologies for ETL, data warehouse, data lake design/build
• AWS data and analytics services (EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB)
• Java, Python, Scala, Spark, SQL

…