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Quantiphi

Associate Technical Architect - Data

United Kingdom
Posted 1 day ago
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Role: Associate Technical Architect - Data

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

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Experience Level: 8+ years

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Employment type: Full Time

Location: Remote (UK)

Basic Qualifications:

  • 8+ years of experience in designing and implementing data warehouses and data lakes/lakehouses on AWS.
  • Proven success working with globally distributed teams in collaborative delivery environments.
  • Deep working knowledge across key AWS Data & Analytics services, including:
    • Building large-scale data lake architectures on Amazon S3 and open table formats.
    • Implementing governance and cataloging through AWS Lake Formation.
    • Developing ETL and metadata frameworks using AWS Glue.
    • Leveraging AWS Lambda for serverless data processing.
    • Running distributed data workloads on Amazon EMR.
    • Enabling real-time data pipelines with AWS Kinesis (Data Streams and Firehose).
    • Orchestrating pipelines using AWS Step Functions/Amazon MWAA/similar services.
    • Designing and optimizing schemas and query performance on Amazon Redshift, including Spectrum and Serverless features.
    • Querying large datasets interactively using Amazon Athena.
    • Managing operational databases using Amazon RDS across engines such as PostgreSQL, MySQL, and Aurora.
    • Integrating and migrating data using AWS DMS, Glue Connectors, EventBridge, SNS, and SQS.
  • Strong programming capability in Python and PySpark for large-scale data processing.
  • Proficiency in writing complex SQL queries, analytical functions, and performance tuning for large datasets.
  • Familiarity with NoSQL databases such as Amazon DynamoDB, MongoDB, or DocumentDB.
  • Strong understanding of partitioning, indexing, scaling approaches, and query optimization techniques.
  • Proven experience in architecting and implementing data pipelines using native AWS services in a modular and resilient manner.
  • Solid understanding of data modeling concepts, including dimensional, normalized, and lakehouse patterns.
  • Background in legacy/on-premise to AWS migration engagements.
  • Solution Architect- Associate or Data Engineer- Associate Certification.
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Location

United Kingdom

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