PRIMUS Global Solutions (PRIMUS UK & Europe)
AWS Data Engineer

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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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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