Data Engineer

We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world.  Why consider joining our Digital & Data community? 🤔  Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions.  Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do.  Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week.   Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same  Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring  Deepen your expertise through our a culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications  Our tech stack 🚀  While we advocate for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications:  AWS is a significant growth area for us with a diverse and growing capability and we are looking for a Data Engineer with experience in AWS cloud technologies for ETL pipeline, data warehouse and data lake design/building and data movement.  AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB.  What you can expect 🌱  Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve with our clients, as well as working on internal projects  Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams  Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site.  An environment that deeply cares about its values Values | PA Consulting You’ll work alongside colleagues from across PA – delivering transformative digital solutions to today’s most complex business challenges. You’ll be designing and building for the AWS cloud  Qualifications Essential requirements ✅  Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to.  You thrive in problem-solving and analytical thinking   You enjoy collaborating with multiple stakeholders in a fast-paced environment  Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL.  Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured and unstructured data, including integrating data from multiple sources through ingestion and curation functions on AWS cloud using AWS native or custom programming.