£800 Per day
Inside
Hybrid
City of London, UK
Summary: The role of Senior Data Engineer/Power BI Developer at an investment bank in London involves working on data engineering and business intelligence projects within a hybrid working environment. The position requires expertise in data engineering, front office trading, and proficiency in SQL and programming languages. The candidate will also work with BI tools and cloud platforms, contributing to the bank's data architecture and analytics capabilities.
Key Responsibilities:
- Develop and maintain data engineering solutions and BI applications.
- Collaborate with front office teams to understand trading, risk, and market data requirements.
- Utilize SQL and programming languages to manipulate and analyze data.
- Implement and optimize BI tools such as Power BI, Tableau, or Qlik.
- Work with cloud platforms and modern data architectures to enhance data processing capabilities.
Key Skills:
- Proven experience in Data Engineering or BI Development.
- Strong understanding of Front Office trading, risk, or market data.
- Proficiency in SQL and at least one programming language (e.g., Python, Scala).
- Experience with BI tools such as Power BI, Tableau, or Qlik.
- Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and modern data architectures.
- Background in financial services, particularly within investment banking or asset management (desirable).
- Experience with time-series data and Real Time data processing (desirable).
- Knowledge of risk metrics and trading instruments (desirable).
Salary (Rate): £800 per day
City: City of London
Country: UK
Working Arrangements: hybrid
IR35 Status: inside IR35
Seniority Level: Senior
Industry: IT
Senior Data Engineer/Power BI Developer - sought by investment bank based in London - Contract - Hybrid
*inside IR35 - umbrella*
Essential:
- Proven experience in a Data Engineeringor BI Developer
- Strong understanding of Front Office trading, risk, or market data(not Back Office finance or regulatory reporting).
- Proficiency in SQL and at least one programming language (eg, Python, Scala).
- Experience with BI tools such as Power BI, Tableau, or Qlik.
- Familiarity with cloud platforms (eg, Azure, AWS, GCP) and modern data architectures.
Desirable:
- Background in financial services, particularly within investment banking or asset management.
- Experience working with time-series data and Real Time data processing.
- Knowledge of risk metrics (VaR, Greeks, PnL attribution) and trading instruments (equities, derivatives, FX, etc.)
Please apply within for further details - Matt Holmes, Harvey Nash