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
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.

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.

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.

Additional Information
Assessment process ️

Please note that the interview stages may be subject to change based on the specific requirements of the role.

• Quick call with one of our Tech Recruiters – to discuss your application, the role and PA
• Round 1: Either a competency or technical interview (60 mins)
• Round 2: Either a competency or technical interview, whichever you didn’t do at first round (60 mins)
• Final round : Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins)

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 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

LI-S

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

Please note that the interview stages may be subject to change based on the specific requirements of the role.

• Quick call with one of our Tech Recruiters – to discuss your application, the role and PA
• Round 1: Either a competency or technical interview (60 mins)
• Round 2: Either a competency or technical interview, whichever you didn’t do at first round (60 mins)
• Final round : Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins