Overview
Data Engineer role at PA Consulting in Manchester, United Kingdom.
Join to apply for the Data Engineer role at Consultancy.uk. This posting includes job details, benefits, and application process.
About PA Consulting
We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome, combining strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. We are over 4,000 professionals across multiple disciplines with deep expertise across sectors. Our teams operate globally from offices in the UK, Ireland, US, Nordics, and the Netherlands. PA Consulting is focused on building an inclusive workplace where equality and diverse mindsets unlock potential.
Job Description
We believe in the power of ingenuity to build a positive human future. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. This role is within our Digital & Data community, working with product, design, and cross-disciplinary teams to bring ideas to life through innovative software solutions.
What You Can Expect
* Work in an agile environment with cross-functional teams and stakeholders; use your technical skills to solve client problems and contribute to internal projects.
* Participate in live in-person whiteboarding sessions and collaborate via Teams.
* Hybrid working: minimum two days per week in the office or on client site; time spent varies by role and assignment (up to five days on client sites).
* Collaborate with PA colleagues across the organization to deliver digital solutions for complex business challenges.
* Design and build for the AWS cloud as part of the data engineering work.
Tech Stack
Focus on AWS cloud technologies for ETL pipelines, data warehouse and data lake design/building, and data movement. AWS data and analytics services (or open-source equivalents) such as EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB.
Responsibilities
* Work on data engineering tasks using Java, Python, Scala, Spark, SQL; design and deploy production data pipelines from ingestion to consumption within big data architectures.
* Develop data processing scripts, API data extraction, and SQL queries; integrate data from multiple sources via ingestion and curation on AWS.
* Collaborate with teams to deliver data solutions that meet client needs and internal standards.
Qualifications
Essential requirements
* Problem-solving mindset and analytical thinking.
* Ability to collaborate with multiple stakeholders in a fast-paced environment.
* Experience designing and deploying production data pipelines in a big data architecture using Java, Python, Scala, Spark, SQL.
* Experience writing scripts, extracting data via APIs, and writing SQL queries.
* Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources on AWS using native AWS tools or custom programming.
Assessment Process
* Initial quick call with a Tech Recruiter to discuss your application and the role.
* Round 1: competency or technical interview (60 mins).
* Round 2: the remaining interview type (60 mins).
* Final round: meeting with a PA leader, including a mini case study and discussion of client-centricity (60 mins).
Benefits
* Health and lifestyle perks including private healthcare for you and your family.
* 25 days of annual leave (plus a bonus half day on Christmas Eve) with option to buy 5 additional days.
* Generous company pension scheme.
* Opportunities to get involved with community and charity initiatives.
* Annual performance-based bonus and PA share ownership.
* Tax-efficient benefits (cycle to work, give as you earn).
Other Information
Life at PA emphasizes supporting well-being and personal growth. If adjustments or accommodations are needed during recruitment, please contact recruitmentenquiries@paconsulting.com.
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