Data Engineer, Women in Data®
Full-time
We believe in the power of ingenuity to build a positive human future. As strategy, technology, and innovation collide, we create opportunity from complexity. Our interdisciplinary teams combine innovative thinking and breakthrough technologies to progress faster and deliver enduring results.
Our global footprint spans the UK, Ireland, US, Nordics, and Netherlands. We employ over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists across consumer, manufacturing, defence, energy, financial services, government, health, life sciences, and transport.
Job Description
We challenge where it matters and own the outcome. We combine strategic thinking, customer‑centric service design, and agile practices to accelerate innovation in a tech‑driven world.
Why consider joining our Digital & Data community?
* Collaborate with product, design, and cross‑disciplinary teams to bring ideas to life through innovative software solutions.
* Grow a flexible career within a trust‑based, inclusive environment that values excellence, innovation, and curiosity. Progress on a technical track if desired.
* Hybrid working: two days per week in office or client site.
* Work on a variety of projects and tech stacks across seven sectors – each project is unique.
* Supportive community with knowledge sharing, peer support, coaching, and mentoring.
* Culture of learning and growth – budget for technical and non‑technical training and certifications.
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 cloud technologies for ETL pipelines, data warehouses, data lakes, and data movement.
* AWS data and analytics services such as EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB.
What you can expect
* Work to agile best practices and collaborate across teams and stakeholders on client and internal projects.
* Participate in in‑person whiteboard sessions and asynchronous communication on Teams.
* Hybrid working – client site or office two to five days per week, depending on role.
* An environment deeply caring about its values.
* Design and build for the AWS cloud.
Qualifications
Even if you don’t meet every requirement below, feel free to apply as we often hire similar roles that fit your background.
* Problem‑solving and analytical thinking.
* Collaboration with multiple stakeholders in a fast‑paced environment.
* Design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL.
* Writing scripts, extracting data using APIs, and writing SQL queries.
* Processing large volumes of structured and unstructured data, integrating data through ingestion and curation on AWS cloud.
Assessment Process
Interview stages may vary based on role requirements.
* Quick call with a Tech Recruiter – discuss your application and the role.
* 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
* 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 engage in community and charity initiatives.
* Annual performance‑based bonus.
* PA share ownership.
* Tax‑efficient benefits (cycle to work, give as you earn).
Equality, Diversity & Inclusion
We are committed to advancing equality. Recruitment, retention, reward, and development are based solely on abilities and contributions. We welcome applications from underrepresented groups.
Adjustments or Accommodations
If you need adjustments or accommodations during the recruitment process, contact recruitmentenquiries@paconsulting.com.
Key Details
* Seniority level: Mid‑Senior level
* Employment type: Full‑time
* Job function: Analyst
* Industry: Information Services
#J-18808-Ljbffr