Azure Data Engineer: Scalable Financial Data Pipelines

Arrow Global Group; Manchester; On-site; GBP 65,000 - 90,000; Full time

Job summary

Arrow Global Group is seeking an Azure Data Engineer to join a new Data group in Manchester. You will build resilient data pipelines across multi-source datasets for financial services workloads, delivering auditable data at scale.

You will work with ADF, Databricks, Python, PySpark and Spark SQL, owning data flows from ingestion to warehouse, and collaborating with data stewards and analysts to ensure high‑quality data for analytics and risk insights.

Qualifications

• Degree in Computer Science, Information Systems, Data Science or related field preferred.
• Proven experience building resilient, reusable data pipelines as a Data Engineer or equivalent.
• Resourceful self-starter with ability to collaborate across business and technology.
• Strong analytical, verbal and written communication skills.
• Background in financial data domains (IBOR/ABOR, transactions, market data, reference data).
• Experience as a Data Engineer within Real Estate, Credit, Banking, or NPL Asset Management.
• Microsoft certification a plus.

Responsibilities

• Serve as the team's ADF, Databricks, Python, PySpark & Spark SQL technical expert.
• Responsible for day-to-day collection and ingestion of raw data into assets.
• Formalize data flows and data standards with the team.
• Enable trusted datasets for portfolio analytics, asset strategy, finance and risk.
• Supervise data ingestion and integration from source to target including warehouse and lake.
• Performance tune and optimize data ingestion and integration processes.
• Partner with Data Stewards and Business Analysts to understand data and design pipelines.
• Design solutions aligned to the target state Data Architecture.

Skills

ADF

Databricks

Python

PySpark

Spark SQL

Education

Degree in Computer Science, Information Systems, Data Science or related field

Job description

Arrow Global Group is seeking an Azure Data Engineer to join a new Data group in Manchester. You will build resilient data pipelines across multi-source datasets for financial services workloads, delivering auditable data at scale.

You will work with ADF, Databricks, Python, PySpark and Spark SQL, owning data flows from ingestion to warehouse, and collaborating with data stewards and analysts to ensure high‑quality data for analytics and risk insights.