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PRIMUS Global Solutions (PRIMUS UK & Europe)

AWS Data Engineer

London
Posted about 20 hours ago
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Senior AWS Data Engineer

We're looking for a Senior AWS Data Engineer with strong expertise in building scalable cloud-based data pipelines for telecom network performance data.

Key Skills:

  • AWS: (Lambda, S3, SQS, SNS, Step Functions, DynamoDB, CloudWatch, EMR, MSK/Kafka, Redshift)
  • PySpark, Python, Apache Iceberg, Parquet
  • XML & ASN.1 parser development
  • Real-time and batch data processing
  • Schema management, versioning, upserts & metadata handling
  • Error handling, retries, DLQ implementation
  • Telecom PM counters (15/60-minute aggregation)
  • ClickHouse experience is a plus

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.

Start with a chat, not a search bar

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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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

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

Only hits

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

What You'll Do:

  • Build high-throughput data ingestion and parsing pipelines.
  • Develop scalable ETL/ELT workflows using PySpark on AWS EMR.
  • Design dynamic schema management aligned with telecom OEM specifications.
  • Implement robust monitoring, logging, and automated pipeline orchestration.
  • Optimize data delivery to Amazon Redshift and ClickHouse for analytics.

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Preferred Experience:

  • 8+ years in Data Engineering with hands-on AWS expertise and telecom data processing experience.
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Skills

Aws
Lambda
S3
Sqs
Sns
Step Functions
Dynamodb
Cloudwatch
Emr
Msk
Kafka
Redshift
Pyspark
Python
Apache Iceberg
Clickhouse

Location

London, England, United Kingdom

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