Firm: PA Consulting
Location: Belfast, United Kingdom
Employment type: Full-time
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 interdisciplinary teams combine innovative thinking and breakthrough technologies to progress further, faster. We serve clients across consumer, manufacturing, defence, energy, finance, government, health, transport and other sectors. We operate globally with offices across the UK, Ireland, US, Nordics and Netherlands.
Job Description
Data Engineer – working with AWS cloud technologies for ETL pipelines, data warehouses and data lakes. You will design, build and maintain scalable, high‑performance data solutions and collaborate with stakeholders across product, design and engineering teams.
Why consider joining our Digital & Data community?
- Join a cross‑disciplinary team and bring ideas to life through innovative software solutions.
- Grow a flexible and unique career in a trust‑based, inclusive environment that values excellence, innovation and curiosity. A technical career track is available.
- Hybrid working – minimum 2 days per week in office or client site.
- Work on a broad variety of projects and tech stacks across seven sectors – each project unique.
- Knowledge‑sharing and peer‑level support, coaching and mentoring.
- Learning culture – budget for courses and certifications.
Our tech stack
- AWS services – EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB; data movement and ETL pipelines.
- Programming languages – Java, Python, Scala, Spark, SQL.
- Data ingestion, curation and lake/warehouse design on AWS.
What you can expect
- Agile best practices with cross‑functional teams.
- White‑boarding sessions and asynchronous communication via Teams.
- Hybrid model: client site up to 5 days a week; time and location vary by role.
- Culture deeply values PA’s core values and commitment to equality.
- Design and build for AWS cloud.
Qualifications
- Problem‑solving and analytical thinking.
- Collaboration with multiple stakeholders in fast‑paced environment.
- Experience designing and deploying production data pipelines from ingestion to consumption in a big data architecture (Java, Python, Scala, Spark, SQL).
- Ability to write scripts, extract data via APIs, craft SQL queries, etc.
- Experience processing structured and unstructured data, integrating multiple sources on AWS (native or custom programming).
Assessment process
- Initial call with recruiter.
- Round 1 – competency or technical interview (60 min).
- Round 2 – competency or technical interview (60 min).
- Final round – meeting with a PA leader, mini case study and client‑centricity discussion (60 min).
Benefits
- Health and lifestyle perks, private healthcare for you and family.
- 25 days annual leave (plus a bonus half‑day on Christmas Eve) – option to buy 5 extra days.
- Generous pension scheme.
- Community and charity initiatives participation.
- Annual performance‑based bonus.
- PA share ownership.
- Tax‑efficient benefits (cycle‑to‑work, give‑as‑you‑earn).
Equal Employment Opportunity Statement: We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions without reference to 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 any other human difference. We welcome applications from under‑represented groups. Adjustments or accommodations – if you need them, contact .
