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Airswift

Senior Data Engineer

London
Posted about 14 hours ago
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Senior Data Engineer

Duration: Contract
Workload: Full time hours
Setup: Day rate contract Inside IR35 / PAYE
Sponsorship: Not Provided
Location: London (3 days per week onsite)

Our client is seeking an experienced Senior Data Engineer to design and deliver scalable, cloud-based data solutions that support both real-time and batch analytics across the organisation.

Key Responsibilities:

  • Design and build robust data pipelines using Databricks, Delta Lake, and Delta Live Tables (DLT).
  • Develop and maintain streaming data architectures using technologies such as Spark Structured Streaming and Autoloader.
  • Implement data ingestion and replication solutions using Azure Data Factory (ADF) and Qlik Replicate, including integration with SAP data sources.
  • Create scalable data models and optimise data structures for reporting and analytics.
  • Collaborate with stakeholders to gather requirements and deliver high-quality data solutions.
  • Monitor, troubleshoot, and optimise data platforms for reliability, performance, and scalability.
  • Contribute to technical documentation and data engineering best practices.

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.

P

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

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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

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.

Must-Have Skills:

  • Extensive experience with Databricks, including DLT, Delta Lake, and Unity Catalog governance.
  • Strong expertise in streaming data solutions and real-time analytics.
  • Advanced programming skills in Python, SQL, or Scala.
  • Proven experience with ADF, Qlik Replicate, and SAP data integration.
  • Strong knowledge of data modelling, ETL/ELT processes, and data architecture.
  • Experience working within Azure cloud environments.
  • Understanding of performance optimisation techniques including watermarking, checkpointing, parallelism, and late data handling.
  • Experience with Microsoft Copilot, AI Foundry, and Databricks AI capabilities such as Mosaic AI, MLflow, Agent Bricks, and Genie.

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Nice-to-Have:

  • Experience working within large enterprise environments.
  • Oil & Gas industry experience.
  • Relevant Azure or Databricks certifications.
  • Master's degree in Computer Science, Engineering, or a related discipline.
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Skills

Databricks
Delta Lake
Delta Live Tables
Spark Structured Streaming
Azure Data Factory
Qlik Replicate
SAP Data Integration
Python
SQL
Scala
Azure Cloud
Data Modelling
ETL/ELT
Unity Catalog
Mosaic AI
MLflow

Location

London, England, United Kingdom

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