Data Engineer

Company Description

We believe in the power of ingenuity to build a positive human future.  

As strategies, technologies, and innovation collide, we create opportunity from complexity. 

Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. 

We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport.  

Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. 

PA. Bringing Ingenuity to Life. 

Job Description

Do you have what it takes to turn raw data into actionable insights and drive innovation?

As a team, we transform our client’s businesses using a combination of strategic thinking, customer-centric service design, and agile engineering practices. We do this at internet scale – driving innovation, and enriching people’s lives. Our skills and talent enable PA’s purpose of creating positive a human future in a technology driven world. 

As part of our Digital team, you’ll work alongside colleagues from across PA – delivering transformative digital solutions to today’s most complex business challenges. Our teams are trusted to deliver and given the space to be awesome. We’re an inclusive community for the curious, generous, pragmatic and committed digital practitioner. 

You'll have:

• 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. Perform tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Work closely with other engineering teams to integrate data engineering component into production systems. Knowledge of data cleaning, wrangling, visualisation and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks. Ability to travel to client site, where required, will be a consideration. 
• 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. Knowledge of data mining, machine learning, natural language processing is an advantage. You enjoy working within cross-functional Agile teams and you are familiar with Scrum ceremonies. 

You’ll be comfortable designing and building for the AWS cloud and will have designed and worked on architectures that include Platform-as-a-Service components and perhaps even server-less and container technologies. 

Qualifications

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. There are a variety of different tools, cloud technologies and approaches and while we have a preference for AWS tooling experience, open-source equivalence will be suitable. 

As an Data Engineer, you’ll have experience working in teams to design, build, and maintain large scale data solutions and applications using AWS data and analytics services (or open-source equivalent) such as EMR, Glue, RedShift, Kinesis, Lambda, DynamoDB. Your team members will look to you as a trusted expert and will expect you to define the end-to-end software development lifecycle in line with modern AWS best practices. Your AWS experience spans data engineering, data science and product development projects, plus you will have an understanding of stream and batch processing. 

We are currently operating a discretionary hybrid working model which is designed to help you plan your work and your life. We want our people to come into the office at least two days a week.

#LI-SA3

Additional Information

Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. 

Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world’s most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. 

Find out more about Life at PA here. 

We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: 

• Health and lifestyle perks accompanying private healthcare for you and your family 
• 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days 
• Generous company pension scheme 
• Opportunity to get involved with community and charity-based initiatives 
• Annual performance-based bonus 
• PA share ownership 
• Tax efficient benefits (cycle to work, give as you earn) 

We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief veteran status, or other by any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. 

Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on recruitmentenquiries@paconsulting.com