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RocketFin Consulting Ltd

Data Engineer

London
Posted 22 days ago
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### **Position Title** *[Not explicitly stated; role likely focused on **Data Engineer** or **Senior Data Engineer** in an energy/trading analytics context]*

## **Key Responsibilities**

### **Data Engineering & Pipelines**
- Build and enhance **data pipelines** and **automation workflows** on **Azure**, focusing on large-scale **data ingestion** and **processing**
- Maintain and optimise existing **toolkits**, **databases**, **dashboards**, and **API-based solutions**
- Develop **end-to-end automated data solutions** across commodities (**Gas/LNG, Power, Weather**)
- Design and implement **web scraping pipelines** (e.g., US LNG data)

### **Analytics & Real-Time Systems**
- Support **real-time** and **batch analytics** use cases in a **dynamic trading environment**
- Enable and support **analytics dashboards** and **GUI tools** with **reliable backend infrastructure**
- Develop **real-time flow tracking solutions** at critical market points

### **Data Modelling & Architecture**
- Design and manage **Snowflake data models**, ensuring **performance** and **scalability**
- Integrate external **data sources** including **ENTSOE, EPEX, KPLER, MetDesk, WoodMac**, and others
- Collaborate with analytics teams to structure data for **models** and **advanced analytics use cases**
- Build and maintain **data platforms** supporting **ML models**, e.g., **demand forecasting**

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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?

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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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Key Deliverables

  • LNG sendout optimisation model
  • Ship tracking & flow monitoring tools
  • Prompt price & forward curve bootstrapping
  • Web scraping pipelines for US LNG and other market data sources
  • Real-time flow tracking infrastructure at critical market points
  • Data platforms supporting ML and demand forecasting models

Required Skills & Experience

Technical

  • Strong proficiency in Python for data engineering and pipeline development
  • Hands-on experience with Azure data services (Data Factory, Databricks, Blob Storage, etc.)
  • Experience designing and optimising Snowflake data models
  • Proven track record building and maintaining data pipelines at scale
  • Experience integrating third-party market data APIs and external data feeds
  • Familiarity with SQL and data warehousing concepts

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Domain

  • Experience or strong interest in energy, commodities, or financial markets data
  • Understanding of real-time and batch data processing patterns in a trading context
  • Familiarity with market data providers such as ENTSO-E, EPEX, KPLER, or similar

Nice to Have

  • Experience with web scraping frameworks (e.g., Scrapy, BeautifulSoup, Playwright)
  • Knowledge of LNG, Gas, or Power market fundamentals
  • Experience supporting ML model pipelines or demand forecasting workflows
  • Exposure to GUI/dashboard tools such as Grafana, Power BI, or Streamlit
  • Knowledge of ship tracking data or AIS feeds
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Skills

Python
Azure Data Factory
Azure Databricks
Azure Blob Storage
Snowflake
SQL
Data Pipeline Development
Web Scraping
API Integration
Data Modelling
Real-time Data Processing
Batch Processing
Data Warehousing
Energy Market Data
ML Pipeline Support
Grafana

Location

London, England, United Kingdom

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