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PRIMUS Global Solutions (PRIMUS UK & Europe)

Senior Technology Architect / Data Architect

London
Posted about 17 hours ago
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About the Role

We are looking for an experienced Senior Technology Architect / Data Architect with 10+ years of experience to design, build, and operate scalable data pipelines, data products, and modern data platforms. If you have strong expertise in Databricks, Kafka, AWS, Spark, PySpark, and Data Lake Architecture, we'd love to connect with you!

Key Skills

  • Databricks (Spark, PySpark, SQL)
  • Data Lake Architecture
  • Apache Spark & PySpark
  • Kafka / Confluent Kafka
  • AWS S3
  • Data Engineering
  • Data Pipelines
  • Data Products
  • Data Mesh
  • Medallion Architecture (Bronze, Silver, Gold)
  • DB2 (Mainframe) Integration
  • SQL Server Integration
  • Streaming Data Pipelines
  • Batch Data Processing
  • Cloud Data Platforms

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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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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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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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Key Responsibilities

  • Design, develop, and maintain batch and streaming data pipelines.
  • Build real-time data ingestion using Confluent Kafka into Amazon S3.
  • Develop scalable Databricks solutions using Spark, PySpark, and SQL.
  • Implement Bronze, Silver, and Gold layers using the Medallion Architecture.
  • Design and deliver scalable data products aligned with Data Mesh principles.
  • Integrate legacy DB2 Mainframe and SQL Server systems with AWS Data Lake.
  • Ensure data quality, data governance, security, and reliability.
  • Collaborate with domain teams to enable self-service analytics and enterprise reporting.

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Good to Have

  • Banking or Financial Services experience
  • Data Governance & Metadata Management
  • Regulatory Reporting experience

Job Titles

  • Data Architect
  • Technology Architect
  • Senior Technology Architect
  • Databricks
  • Spark
  • PySpark
  • SQL
  • Kafka
  • Confluent Kafka
  • AWS
  • Amazon S3
  • Data Lake
  • Data Engineering
  • Data Pipelines
  • Streaming
  • Batch Processing
  • Data Mesh
  • Data Products
  • Medallion Architecture
  • DB2
  • Mainframe
  • SQL Server
  • Cloud Data Platform
  • AWS Data Services
  • Analytics
  • Financial Services
  • Banking
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Skills

Databricks
Kafka
AWS
Spark
PySpark
Data Lake Architecture
Data Engineering
Data Pipelines
Data Products
Data Mesh
Medallion Architecture
DB2
SQL Server
Streaming Data Pipelines
Batch Data Processing
Cloud Data Platforms

Location

London, England, United Kingdom

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