Airswift
Senior Data Engineer

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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.
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.
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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.
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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